An Ontology-based Web-portal for Tourism
|
|
- Bruno Washington
- 6 years ago
- Views:
Transcription
1 An Ontology-based Web-portal for Tourism Eleni Tomai 1, Stavros Michael 2,3, and Poulicos Prastacos 1,3 1 FORTH, Institute of Applied and Computational Mathematics Heraklion, Greece {etomai, poulicos}@iacm.forth.gr 2 Computer Science Department, University of Crete michael@csd.uoc.gr 3 InfoCharta Ltd Abstract. Traditional trip planning involves decisions made by tourists in order to explore an environment, such as a geographic area, usually without having any prior knowledge or experience with it. Contemporary technological development has facilitated not only human mobility but also has set the path for various applications to assist tourists in way-finding, event notification using location-based services etc. Our approach explores how the use of ontologies, in a web-based environment can be used for tourism applications. The methodology consists of building two separate ontologies, one for the users profile and another one concerning tourism information and data in order to assist visitors of an area plan their visit. 1 Introduction This paper draws from previous work on trip planning in the context of web services. Tourists present a special category of agents since they are on the move, they are very different from each other, have diverse interests and more importantly they are eager to explore an area for which we assume they have little prior information or knowledge. Several approaches have been presented, most of which making use of locationbased services and mobile technologies, which provide services for tourists. In [10] and [11], the need for user profiles in location-based services is explored. While in [9] the use of a context-aware system integrated in a mobile application is proposed for assisting tourists. Finally, in [5] a mobile system is introduced that offers guided tours using a semantic matching algorithm. The system previously proposed [7] is governed by the following concepts: since tourisms are not a group with homogeneous characteristics, the notion of personalization is crucial in the design of a decision support web service that helps them plan a trip. In [2] the development of Personalized Information Systems in a web environ-
2 ment is discussed in order to handle the plethora of available data on the web. Another important issue is that of context, referring to the usability/ conformity of the system s answer to the user as a result. To be more specific we have proposed a web service that can answer to the following types of questions: I have two days to spend in X, what do you propose me to do? Today I want to do some sightseeing in X and then go to sea. In order to provide an answer, the system includes a conceptual model of the user profile. This is achieved by presenting to the user a questionnaire through a web based interface, so that the user s personal information, preferences, needs and interests can be extracted and recorded in a user profile ontology. The other dimension of the system is the tourism ontology that contains actual information on a specific area of interest. We have created a case study ontology for the prefecture of Heraklion, in the island of Crete, that we present herein. Although it is applied to Heraklion, a similar ontology can be applied elsewhere as well. Herein we concentrate on the two ontologies and what issues they address, what notions have been taken into account when building them and we present the progress of the system s implementation phase thus far. The remainder of the paper is constructed as follows: section 2 sketches the system architecture in its final version. While section 3 details the user profile ontology along with the user interface (which can be at the moment found on the web, and section 4 presents the ontology concerning tourism information. The context-matching algorithm, which will generate the mapping between the above mentioned ontologies, is roughly presented in section 5, this part is not detailed since we have not finished the previous stages. Finally, section 6 demonstrates further research challenges. 2 System Architecture This section presents the components of the system. These consist of the two ontologies, namely the user profile and the tourism ontology, the web-based user interface, the context matching algorithm and the map server. Starting with the two ontologies, their main difference is that the user profile ontology is elicited by the users responses to the interface while the tourism ontology is predefined. However, not even the procedure of the user profile generation is entirely free. On the contrary, this is done according to a predefined generic ontology, which facilitates the elicitation process and guides to a certain extent- the personalization of the system. Furthermore, the user profile ontology gets populated as more users utilize the system. The predefined ontology will be thoroughly presented and explained in section 3. On the other hand, the tourist ontology is populated in advance by the service provider, with real data, and only when he/she wants to update/expand the included information he/she can add more instances to the ontology. The main dimensions of the tourism ontology and how data is organized therein are explained in section 4. Apart from the two ontologies, in direct contact with the user is the interface for eliciting the user s characteristics. The interface poses ontology-driven queries to
3 elicit information concerning the user. The terminology used in the interface is in accordance with the terminology used in the user profile ontology (non-populated at first). The answers of the user are recorded by the system and included in the user profile ontology as its instance that has properties (characteristics) with specific values. A more detailed presentation of the interface can also be found in section 3. the interface is operational on the web at this point of the implementation phase. Another important component of the system is a map server, which shows the location of the tourism ontology s concepts of interest. In addition, the map server is utilized to visualize the answer of the system, so that the proposed places and itineraries are portrayed to the user. The system provides an answer to the query of the user using a context matching algorithm that matches the user profile to the tourism ontology, so that the answer given, matches user needs and interests. The functions of the algorithm are presented in section 5. The characteristics of the algorithm and its ability to generate mappings between the two ontologies, guarantee the conformity of the answer. The system works in two steps: first, the user fills in the interface so that his/her profile is generated, second the user states the question. Then, the system runs the context matching algorithm between the two ontologies and returns the answer as a text but also locating the proposed places/ points of interest on the map (fig. 1 shows the system architecture, and the procedure). context matching algorithm ontology No1: user profile user s profile user s question ontology No2: tourism Fig. 1. The architecture of the system 3 User Profile Ontology and Interface This section presents in detail the characteristics of the user profile ontology. The ontology was implemented using Protégé 3.0 [4] in OWL DL and its consistency tested using the RACE reasoner. The user profile ontology was created in order to facilitate the extraction of the user personal information, needs, and interests, under the context of personalization.
4 3.1 Personalizing the System The key characteristic of the ontology is that it is comprised of two steps. The first step, that of the design, concerns agreeing upon the main concepts of the ontology along with their properties. We have included in the ontology not only these concepts that characterize/describe a tourist but also concepts that account for the personal information of the user with respect to his/her trip making. To be more specific we included in the ontology concepts such as: age, gender, profession, leisure activities and interests, which sketch upon the personality of the user. Furthermore, concepts such as kind of trip, time available, temporal period of the visit, accompanying persons, money to spend, transportation means were added in order to reveal the characteristics of the user as a traveling agent. These concepts were further detailed by adding sub-concepts; for instance, for the concept leisure activities the sub-concepts eating out, nightlife, shopping and sports were created (The complete list of concepts of the user profile ontology is shown in fig. 2). Based on each concept, a corresponding property was created. To make this clear to the reader, from the concept interests, the property is interested in can be created which is assigned to the user and the values the property takes can all be found in the sub-concepts of the original concept, which is interests in this case. The properties of the ontology in this case play the role of posing questions to the user as a means to elicit to information from him/her. This functionality assists us in designing the user interface as it will be explained in the following section. For the previous example, a question is: what are you interested in? And a possible answer from the user is: I am interested in museums. The complete list of attributes, which are assigned to the user, is shown in fig. 3. Fig. 2. The concepts of the user profile ontology
5 Fig. 3. The properties of the user profile ontology, which are all, assigned to the user/ tourist, and their ranges 3.2 Populating the User Profile Ontology The second step is to populate the ontology with instances for the concept user. This is achieved, by providing an interface to the user so that he/she user can introduce
6 personal information, interests and facts about the visit. The interface resembles a questionnaire and, as previously mentioned, it is web-based. The procedure of collecting and recording the actual user profiles, in our case, is very much guided by the predefined user profile ontology. For example, when the user is asked to fill in his/her interests, he/she can only chose form a list of alternatives, given in the form of a drop-down menu, that correspond to the sub-concepts of the interests concept in the generic user profile ontology, presented earlier. This methodology has been previously presented in [6], for the creation of a web-based ontology editor. Figs. 4, 5 and 6 present the sequence of the interface s screenshots. The last step of the interface generates the owl file of the user, which in fact is a small fragment of the owl file of the generic user profile ontology (Fig. 7). This generated owl file is used in the context matching algorithm along with the tourism ontology to provide an answer to the end-user. Fig 4. The first screenshot of the interface, where the user is asked to fill in personal data
7 Fig 5. The second screenshot of the interface, where the user is asked to fill in what they are interested in and they like doing Fig 6. The third screenshot of the interface, where the user is asked to fill in their visiting conditions Fig 7. The generation of the owl file after submitting all the necessary information.
8 The qualities of this methodology are two fold: it can elicit information on the user profile using the same terminology as the one of the generic user profile ontology, and in addition, because the interface is structured based on the generic ontology; any information introduced therein can easily be recorded into the ontology as its instance (fig. 8). It can be easily understood that as more tourists use the system, the more the ontology gets populated. As a drawback, however, it should be pointed out that if the concepts of the generic ontology are modified, certain elements/pages of the interface should change to match the ontology. This downside really boils down to the adequacy and completeness of the original design of the ontology, which should minimize the risk of frequent changes. Fig. 8. An instance of a user in the user profile ontology 4 Ontology of Tourism This section describes the second core component of the system, that of the tourism ontology. This encompasses concepts familiar to all tourists such as sightseeing, shopping, leisure activities etc (fig. 9). The division of these fundamental concepts into sub-concepts, as those shown in fig. 9, was guided by the information of different websites and the classification of point of interest for tourists used therein such as the web pages of the city of Heraklion [3], the tourist guide for the municipality of Heraklion [8] and the agro-tourism site for Heraklion [1], available only in Greek. On the other hand, the concepts of location and time needed have central role in the ontology. The former refers to either the location a point of interest has on a map, or its address, if that kind of information is available, or even a text description, while the latter refers to the time it takes for the tourist to get to the point of interest plus the average time to see the place and come back (the reference point for all users is taken to be the centre of the city of Heraklion). Fig. 10 shows an example of locating a
9 Point of Interest using a map, because the address is not available (the POI refers to a plateau). Fig. 10. An example of how the location of a point of interest is defined in the tourism ontology Other concepts in the ontology concern additional information for the fundamental tourism concepts such as accessibility, entrance fees, opening hours and the like. Fig. 11 shows all the additional concepts included in the ontology. From those, we assign properties to the concepts of fig. 9. For instance, from the concepts accessibility we create the property; are accessed by which involves the sub-concepts of transportation, and the concepts which are assigned this property are: archaeological sites, museums, natural beauty areas etc. properties help us set statements such as the following: archaeological sites are accessed by busses, or beaches are accessed by taxis and ferries etc. Fig. 12 demonstrates the list of the properties of the concepts included in the tourism ontology.
10 Fig. 9. The core concepts of the tourism ontology
11 Fig. 11. The additional concepts of the tourism ontology that help us assign properties to the concepts of fig. 9 Fig. 12. The properties of the tourism ontology The tourism ontology is hidden form the user and it is populated with actual data as instances of the concepts included therein. This ontology was also implemented in Protégé in OWL DL. 5 Context Matching Algorithm One of the basic points in the approach described above is the service that makes the semantic matching, e.g. a service discovery mechanism that can give results with high precision according to the user s queries. In location-based services, the matching process involves the context, the user profile and the user history. We propose a web service that can take into account existing parameters in LBS environment although the user is in a certain and static place when querying the system s database. To overcome problems emerging by the lack of user under way, we prompt him to give us information about the context by filling up a questionnaire. For example, questions like: what is the time period you are visiting the X town?, give the system an overview of the user profile. As far as the location of the user is concerned our system works under the assumption that he/she is the city centre of Heraklion so all answers from the system concerning distance are measured from that point of reference. When the user queries the system according to his/her interests and the time to spend, the semantic matching process starts by filtering out the services that do not match the service types asked by the user. The second step involves finding the correspondences between concepts and properties in the user profile and those in the tourism ontology. The use of common terminology in both ontologies speeds up the matching process and makes it easier.
12 On the third step, additional information provided by the user such as visiting period is taken into account and narrows even more the initial query, while in the last step, the matching result is classified in two modes; exact and approximate. Regardless the fact that the system finds a perfect matching or not, it is also able to give imperfect resulting sets as possible alternatives close to user s needs, the same approach has been proposed in [10]. In our approach, the user profile ontology is quite general in the sense that it has been designed in a way so that the corresponding interface which records all user information does not request from them detailed information for his/her interests or tastes. This design decision was taken on the basis that we wanted to provide to the users a list of alternative answers and let them take the final decision on how to spend their time. Another reason for keeping the user profile ontology quite generic is that our system does not tackle the issue of user history, therefore we needed to let the system give alternative answers on the assumption that it might not be the user s first time in Heraklion, consequently, a list of possible answers covers that aspect. Crucial feature of the specific algorithm is the calculation of time. As already mentioned in the tourism ontology the concept of time (time needed) t n encodes the time it takes for the tourist to get to a point of interest from the centre of Heraklion plus the average time to see the place and come back to the centre. While in the user profile ontology time (time available) t a reflects the available time the tourist has to spend in Heraklion. Therefore if the time needed to visit a place of interest (t n1 ) is less than the time available of the user (t a ) the system incorporates in the answer another point of interest that has time needed to visit it (t n2 ). This process can go on as long as: n i t < t a, where i to n are the points of interest (1) n For the equation to give more sophisticated results the concept of proximity should also be incorporated in the algorithm, which accounts for how close several points of interest are. Another concept, which should be included in the algorithm when calculating time is that of transportation means. It is obvious that t n changes whether the user has a car or he/she uses public transportation. From this discussion, the calculation of time is quite critical for the conformity of the system s answer to the user needs. 6 Discussion and Further Work Several approaches have been proposed with the intension of helping tourisms in exploring points of interest in a usually unknown geographic area. Most approaches use location-based services and event notification methods in mobile system. Our approach however, presents novelties such as the following: 1. The system is not a mobile service but a web service provided by a local authority, such as the Greek ministry of tourism, the municipality of Heraklion etc.
13 2. The information concerning tourist activities (data) are organized in an ontology not separate databases, so that the schema is quite generic, it can be expanded (further include more information). 3. Our main contribution is the interface where the user inputs his/her personal information so that the ontology of the user profile is elicited. 4. Moreover, the terminology used in the interface is conformant to the terminology of the data ontology so that the matching algorithm is easier to implement and provide better results. We are actually at the point of populating the tourism ontology with actual data. Issues of data availability, accuracy, and maintenance are our top concern now. This will be the most time-consuming step of the implementation phase. All the abovementioned issues will influence the result of the procedure; the answer that the system will provide to the users. Further work concerns the testing of the system with the actual implementation of the context-matching. As a research question we will seek the inclusion of more parameters into the algorithm involving not only time available by the user, but also the amount of money he/she affords to spend during the visit. References 1. Agro-tourism site for the municipality of Heraklion: 2. Galant V., Paprzycki M.: Information Personalization in an Internet Based Travel Support System. In: Abramowicz (ed.), Proceedings of the BIS'2002 Conference, Poland (2002) Heraklion city s web pages: 4. Protégé Ontology Editor (2004) 5. ten Hagen K., Kramer R., Hermkes M., Schumann B., Mueller P.: Semantic Matching and Heuristic Search for a Dynamic Tour Guide, 12th International Conference on Information Technology and Travel & Tourism, Austria (2005) 6. Tomai E., Spanaki M.: From Ontology Design to Ontology Implementation: a Web Tool for Building Geographic Ontologies. In Toppen F., Painho M. (eds.): Proceedings of AGILE 2005, 8 th Conference on Geographic Information Science, ISEGI-UNL, Portugal (2005) Tomai E. Spanaki M., Poulicos Prastacos, Kavouras M. Ontology assisted decision making - a case study in trip planning for tourism, International Workshop on Semantic-based Geographical Information Systems (SeBGIS'05), Cyprus, November 3-4, Tourist guide for Heraklion: 9. van Setten M., Pokraev S., Koolwaaij J.: Context-Aware Recommendations in the Mobile Tourist Application COMPASS. Lecture Notes in Computer Science, Vol (2004) Yu S., Al-Jadir L., Spaccapietra S.: Matching User's Semantics with Data Semantics in Location-Based Services, 1st Workshop on Semantics in mobile Environments, Cyprus (2005) 11. Yu S., Spaccapietra, S., Cullot, N., Aufaure M.: User Profiles in Location-based Services: Make Humans More Nomadic and Personalised, Proceedings of the International Conference on Databases and Applications, Austria (2004)
Matching User's Semantics with Data Semantics in Location-Based Services
Matching User's Semantics with Data Semantics in Location-Based Services Shijun Yu EPFL-IC-LBD INJ 237 Station 14 CH 1015 Lausanne 41 21 6936706 shijun.yu@epfl.ch Lina Al-Jadir EPFL-IC-LBD INJ 230 Station
More informationVIRTUAL AGENT USING CLOUD
VIRTUAL AGENT USING CLOUD Swapnil Sargar 1, Poonam Khandagale 2, Maya Anbhore 3, Neha Korgaonkar 4 1 Student, PVPPCOE, Computer engineering, PVPPCOE, Maharashtra, India 2 Student, PVPPCOE, Computer engineering,
More informationImproving Adaptive Hypermedia by Adding Semantics
Improving Adaptive Hypermedia by Adding Semantics Anton ANDREJKO Slovak University of Technology Faculty of Informatics and Information Technologies Ilkovičova 3, 842 16 Bratislava, Slovak republic andrejko@fiit.stuba.sk
More informationBSC Smart Cities Initiative
www.bsc.es BSC Smart Cities Initiative José Mª Cela CASE Director josem.cela@bsc.es CITY DATA ACCESS 2 City Data Access 1. Standardize data access (City Semantics) Define a software layer to keep independent
More informationThe onprom Toolchain for Extracting Business Process Logs using Ontology-based Data Access
The onprom Toolchain for Extracting Business Process Logs using Ontology-based Data Access Diego Calvanese, Tahir Emre Kalayci, Marco Montali, and Ario Santoso KRDB Research Centre for Knowledge and Data
More informationAn Archiving System for Managing Evolution in the Data Web
An Archiving System for Managing Evolution in the Web Marios Meimaris *, George Papastefanatos and Christos Pateritsas * Institute for the Management of Information Systems, Research Center Athena, Greece
More informationDigital GPS Based Audio Guide that Brings the Past to Life
GUIDE@HAND: Digital GPS Based Audio Guide that Brings the Past to Life Zsolt László Márkus, Balázs Wagner The Computer and Automation Research Institute, Hungarian Academy of Sciences H-1111 Budapest,
More informationOffering Access to Personalized Interactive Video
Offering Access to Personalized Interactive Video 1 Offering Access to Personalized Interactive Video Giorgos Andreou, Phivos Mylonas, Manolis Wallace and Stefanos Kollias Image, Video and Multimedia Systems
More informationInternal project report T3.1 Damask Ontology
TIN2009-11005 DAMASK Data-Mining Algorithms with Semantic Knowledge PROYECTO DE INVESTIGACIÓN PROGRAMA NACIONAL DE INVESTIGACIÓN FUNDAMENTAL, PLAN NACIONAL DE I+D+i 2008-2011 ÁREA TEMÁTICA DE GESTIÓN:
More informationSupporting Users in Organizing their Vacation Before, During, and After the Travel
Supporting Users in Organizing their Vacation Before, During, and After the Travel Elena Not a,b Adriano Venturini a a ectrl Solutions, Italy venturini@ectrlsolutions.com, not@ectrlsolutions.com b Fondazione
More informationOntology Refinement and Evaluation based on is-a Hierarchy Similarity
Ontology Refinement and Evaluation based on is-a Hierarchy Similarity Takeshi Masuda The Institute of Scientific and Industrial Research, Osaka University Abstract. Ontologies are constructed in fields
More informationOpus: University of Bath Online Publication Store
Patel, M. (2004) Semantic Interoperability in Digital Library Systems. In: WP5 Forum Workshop: Semantic Interoperability in Digital Library Systems, DELOS Network of Excellence in Digital Libraries, 2004-09-16-2004-09-16,
More informationOntology for Exploring Knowledge in C++ Language
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320 088X IMPACT FACTOR: 5.258 IJCSMC,
More informationRequirements Validation and Negotiation
REQUIREMENTS ENGINEERING LECTURE 2017/2018 Joerg Doerr Requirements Validation and Negotiation AGENDA Fundamentals of Requirements Validation Fundamentals of Requirements Negotiation Quality Aspects of
More informationPerformance Evaluation of Semantic Registries: OWLJessKB and instancestore
Service Oriented Computing and Applications manuscript No. (will be inserted by the editor) Performance Evaluation of Semantic Registries: OWLJessKB and instancestore Simone A. Ludwig 1, Omer F. Rana 2
More informationIntroduction to and calibration of a conceptual LUTI model based on neural networks
Urban Transport 591 Introduction to and calibration of a conceptual LUTI model based on neural networks F. Tillema & M. F. A. M. van Maarseveen Centre for transport studies, Civil Engineering, University
More informationLightweight Semantic Web Motivated Reasoning in Prolog
Lightweight Semantic Web Motivated Reasoning in Prolog Salman Elahi, s0459408@sms.ed.ac.uk Supervisor: Dr. Dave Robertson Introduction: As the Semantic Web is, currently, in its developmental phase, different
More informationEnterprise Multimedia Integration and Search
Enterprise Multimedia Integration and Search José-Manuel López-Cobo 1 and Katharina Siorpaes 1,2 1 playence, Austria, 2 STI Innsbruck, University of Innsbruck, Austria {ozelin.lopez, katharina.siorpaes}@playence.com
More informationContext-Aware Analytics in MOM Applications
Context-Aware Analytics in MOM Applications Martin Ringsquandl, Steffen Lamparter, and Raffaello Lepratti Corporate Technology Siemens AG Munich, Germany martin.ringsquandl.ext@siemens.com arxiv:1412.7968v1
More informationA semantic approach for discovering egovernment services
6th WSEAS International Conference on SYSTEM SCIENCE and SIMULATION in ENGINEERING, Venice, Italy, November 21-23, 2007 153 A semantic approach for discovering egovernment services EFTHIMIOS TAMBOURIS,
More informationKiosks for Tourists: Heterogeneous Distributed Database Access for Multimedia Information Presentation. Michael Wilson Rutherford Appleton Laboratory
1 Kiosks for Tourists: Heterogeneous Distributed Database Access for Multimedia Information Presentation Michael Wilson Rutherford Appleton Laboratory ABSTRACT When accessing on-line electronic information
More informationPaper Id: IJRDTM USABILITY AND ACCESSIBILITY ANALYSIS AND EVALUATION OF E-TOURISM SECTOR IN BANGLADESH
USABILITY AND ACCESSIBILITY ANALYSIS AND EVALUATION OF E-TOURISM SECTOR IN BANGLADESH by Sumonto Sarker Lecturer Department of Telecommunication and Electronic Engineering, Hajee Mohammed Danesh Science
More informationCoE CENTRE of EXCELLENCE ON DATA WAREHOUSING
in partnership with Overall handbook to set up a S-DWH CoE: Deliverable: 4.6 Version: 3.1 Date: 3 November 2017 CoE CENTRE of EXCELLENCE ON DATA WAREHOUSING Handbook to set up a S-DWH 1 version 2.1 / 4
More informationThe OASIS Applications Semantic (Inter-) Connection Framework Dionisis Kehagias, CERTH/ITI
ISWC 2011 - OASIS Symposium Monday, 24th October 2011 The OASIS Applications Semantic (Inter-) Connection Framework Dionisis Kehagias, CERTH/ITI Contents of this presentation Interoperability problems
More informationTourism applications of Artificial Intelligence techniques. Dr. Antonio Moreno, ITAKA research group, URV
Tourism applications of Artificial Intelligence techniques Dr. Antonio Moreno, ITAKA research group, URV ITAKA Basic research lines Multi-agent systems Ontology Learning Information Extraction Automated
More informationPROJECT PERIODIC REPORT
PROJECT PERIODIC REPORT Grant Agreement number: 257403 Project acronym: CUBIST Project title: Combining and Uniting Business Intelligence and Semantic Technologies Funding Scheme: STREP Date of latest
More informationMERGING BUSINESS VOCABULARIES AND RULES
MERGING BUSINESS VOCABULARIES AND RULES Edvinas Sinkevicius Departament of Information Systems Centre of Information System Design Technologies, Kaunas University of Lina Nemuraite Departament of Information
More informationDigital Archaeological Resources at the University of Bergen: An Efficient Tool in Research and Heritage Management?
Digital Archaeological Resources at the University of Bergen: An Efficient Tool in Research and Heritage Management? Asbj0m Engevik jr^ Jon Holmen', Sonja Innselset^ and Jarle Stabell' ' The Norwegian
More informationMap-based Interaction with a Conversational Mobile Recommender System
The Second International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies Map-based Interaction with a Conversational Mobile Recommender System Olga Averjanova, Francesco Ricci,
More informationFedX: A Federation Layer for Distributed Query Processing on Linked Open Data
FedX: A Federation Layer for Distributed Query Processing on Linked Open Data Andreas Schwarte 1, Peter Haase 1,KatjaHose 2, Ralf Schenkel 2, and Michael Schmidt 1 1 fluid Operations AG, Walldorf, Germany
More informationOntology based Model and Procedure Creation for Topic Analysis in Chinese Language
Ontology based Model and Procedure Creation for Topic Analysis in Chinese Language Dong Han and Kilian Stoffel Information Management Institute, University of Neuchâtel Pierre-à-Mazel 7, CH-2000 Neuchâtel,
More informationThe Proposed Road Centerline Standard for Minnesota Overview and Frequently Asked Questions
The Proposed Road Centerline Standard for Minnesota Overview and Frequently Asked Questions Introduction. Road Centerlines are a foundational geospatial dataset for Minnesota. They are a foundational data
More informationGeoTemporal Reasoning for the Social Semantic Web
GeoTemporal Reasoning for the Social Semantic Web Jans Aasman Franz Inc. 2201 Broadway, Suite 715, Oakland, CA 94612, USA ja@franz.com Abstract: We demonstrate a Semantic Web application that organizes
More informationI Travel on mobile / FR
I Travel on mobile / FR Exploring how people use their smartphones for travel activities Q3 2016 I About this study Background: Objective: Mobile apps and sites are a vital channel for advertisers to engage
More informationAn Approach to Evaluate and Enhance the Retrieval of Web Services Based on Semantic Information
An Approach to Evaluate and Enhance the Retrieval of Web Services Based on Semantic Information Stefan Schulte Multimedia Communications Lab (KOM) Technische Universität Darmstadt, Germany schulte@kom.tu-darmstadt.de
More informationA Comparative Usability Test. Orbitz.com vs. Hipmunk.com
A Comparative Usability Test Orbitz.com vs. Hipmunk.com 1 Table of Contents Introduction... 3 Participants... 5 Procedure... 6 Results... 8 Implications... 12 Nuisance variables... 14 Future studies...
More informationConstructing Digital Archive of Architectural Material with ontology
Constructing Digital Archive of Architectural Material with ontology Norio TOGIYA Akira BABA University of Tokyo, Japan http://www.chi.iii.u-tojyo.ac.jp Abstract We developed an ontology concerning the
More informationImplementation of Semantic Information Retrieval. System in Mobile Environment
Contemporary Engineering Sciences, Vol. 9, 2016, no. 13, 603-608 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ces.2016.6447 Implementation of Semantic Information Retrieval System in Mobile
More informationEnhancing Wrapper Usability through Ontology Sharing and Large Scale Cooperation
Enhancing Wrapper Usability through Ontology Enhancing Sharing Wrapper and Large Usability Scale Cooperation through Ontology Sharing and Large Scale Cooperation Christian Schindler, Pranjal Arya, Andreas
More informationOpen Locast: Locative Media Platforms for Situated Cultural Experiences
Open Locast: Locative Media Platforms for Situated Cultural Experiences Amar Boghani 1, Federico Casalegno 1 1 MIT Mobile Experience Lab, Cambridge, MA {amarkb, casalegno}@mit.edu Abstract. Our interactions
More informationOntology Creation and Development Model
Ontology Creation and Development Model Pallavi Grover, Sonal Chawla Research Scholar, Department of Computer Science & Applications, Panjab University, Chandigarh, India Associate. Professor, Department
More informationEvaluating the suitability of Web 2.0 technologies for online atlas access interfaces
Evaluating the suitability of Web 2.0 technologies for online atlas access interfaces Ender ÖZERDEM, Georg GARTNER, Felix ORTAG Department of Geoinformation and Cartography, Vienna University of Technology
More informationTHE NEW NATIONAL ATLAS OF SPAIN ON INTERNET
CO-343 THE NEW NATIONAL ATLAS OF SPAIN ON INTERNET PEREZ N., SANCHEZ-ORTIZ P., ALONSO J.J., ROMERA C. NATIONAL GEOGRAPHIC INSTITUTE, MADRID, SPAIN 1. BACKGROUND AND OBJECTIVES In 2009, the National Atlas
More informationI Travel on mobile / UK
I Travel on mobile / UK Exploring how people use their smartphones for travel activities Q3 2016 I About this study Background: Objective: Mobile apps and sites are a vital channel for advertisers to engage
More informationAn Architecture for Semantic Enterprise Application Integration Standards
An Architecture for Semantic Enterprise Application Integration Standards Nenad Anicic 1, 2, Nenad Ivezic 1, Albert Jones 1 1 National Institute of Standards and Technology, 100 Bureau Drive Gaithersburg,
More informationA Modular Data Infrastructure for Location-Based Services
A Modular Data Infrastructure for Location-Based Services Shijun Yu and Stefano Spaccapietra Database Laboratory, I&C, EPFL, Switzerland shijun.yu@epfl.ch, stefano.spaccapietra@epfl.ch Abstract. Knowledgable
More informationStarting Ontology Development by Visually Modeling an Example Situation - a User Study
Starting Ontology Development by Visually Modeling an Example Situation - a User Marek Dudáš 1, Vojtěch Svátek 1, Miroslav Vacura 1,2, and Ondřej Zamazal 1 1 Department of Information and Knowledge Engineering,
More informationHermes - A Framework for Location-Based Data Management *
Hermes - A Framework for Location-Based Data Management * Nikos Pelekis, Yannis Theodoridis, Spyros Vosinakis, and Themis Panayiotopoulos Dept of Informatics, University of Piraeus, Greece {npelekis, ytheod,
More informationOpportunities for Leveraging Context in Pedestrian Navigation
Opportunities for Leveraging Context in Pedestrian Navigation Bjoern Zenker, Richard Schaller, Jan Schrader Chair for Artificial Intelligence Friedrich-Alexander-University Erlangen-Nuremberg Haberstraße
More informationEnabling Time-Aware Process Support with the ATAPIS Toolset
Enabling Time-Aware Process Support with the ATAPIS Toolset Andreas Lanz and Manfred Reichert Institute of Databases and Information Systems, Ulm University, Germany {andreas.lanz,manfred.reichert}@uni-ulm.de
More informationOptimizing Simulation of Movement in Buildings by Using People Flow Analysis Technology
Mobility Services for Better Urban Travel Experiences Optimizing Simulation of Movement in Buildings by Using People Flow Analysis Technology The high level of progress in urban planning is being accompanied
More informationDesign and Implementation a Virtualization Platform for Providing Smart Tourism Services
Design and Implementation a Virtualization Platform for Providing Smart Tourism Services Nam Don Kim, Jungho Moon, Tae Yun Chung Abstract This paper proposes an Internet of Things (IoT) based virtualization
More informationPersonalized Mobile Multimedia meets Location-Based Services
Personalized Mobile Multimedia meets Location-Based Services Susanne Boll and Jens Krösche and Ansgar Scherp Carl von Ossietzky University Oldenburg, Faculty II, Department of Computer Science, Escherweg
More informationPersonalized Information Retrieval by Using Adaptive User Profiling and Collaborative Filtering
Personalized Information Retrieval by Using Adaptive User Profiling and Collaborative Filtering Department of Computer Science & Engineering, Hanyang University {hcjeon,kimth}@cse.hanyang.ac.kr, jmchoi@hanyang.ac.kr
More informationIntegration With the Business Modeler
Decision Framework, J. Duggan Research Note 11 September 2003 Evaluating OOA&D Functionality Criteria Looking at nine criteria will help you evaluate the functionality of object-oriented analysis and design
More informationGiving Meaning to GI Web Service Descriptions (Extended Abstract 44 )
Giving Meaning to GI Web Service Descriptions (Extended Abstract 44 ) Florian Probst and Michael Lutz Institute for Geoinformatics (ifgi) University of Münster, Germany {f.probst m.lutz}@uni-muenster.de
More informationPersonalized Navigation in the Semantic Web
Personalized Navigation in the Semantic Web Michal Tvarožek Institute of Informatics and Software Engineering Faculty of Informatics and Information Technology, Slovak University of Technology, Ilkovičova
More informationUsing Design Patterns in Education and Tutoring for the Software Systems Projects in Economic
Using Design Patterns in Education and Tutoring for the Software Systems Projects in Economic Cornelia NOVAC-UDUDEC cornelia.novac@ugal.ro Dunarea de Jos University of Galati Abstract. The paper deals
More informationTowards a Context-Aware Photo Recommender System
Towards a Context-Aware Photo Recommender System Fabrício D. A. Lemos 1 2, Rafael A. F Carmo 3, Windson Viana 1 3, Rossana M. C. Andrade 1 2 * 1 Group of Computer Networks, Software Engineering and Systems
More informationdata elements (Delsey, 2003) and by providing empirical data on the actual use of the elements in the entire OCLC WorldCat database.
Shawne D. Miksa, William E. Moen, Gregory Snyder, Serhiy Polyakov, Amy Eklund Texas Center for Digital Knowledge, University of North Texas Denton, Texas, U.S.A. Metadata Assistance of the Functional Requirements
More informationInformation Retrieval CSCI
Information Retrieval CSCI 4141-6403 My name is Anwar Alhenshiri My email is: anwar@cs.dal.ca I prefer: aalhenshiri@gmail.com The course website is: http://web.cs.dal.ca/~anwar/ir/main.html 5/6/2012 1
More informationIST CRUMPET, Creation of User Friendly Mobile Services Personalised for Tourism R. Report
CRUMPET Creation of user-friendly mobile services personalised for tourism Project Number: Project Title: Deliverable Type: IST-1999-20147 CRUMPET, Creation of User Friendly Mobile Services Personalised
More informationUser Profiling for Interest-focused Browsing History
User Profiling for Interest-focused Browsing History Miha Grčar, Dunja Mladenič, Marko Grobelnik Jozef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia {Miha.Grcar, Dunja.Mladenic, Marko.Grobelnik}@ijs.si
More informationEFFICIENT INTEGRATION OF SEMANTIC TECHNOLOGIES FOR PROFESSIONAL IMAGE ANNOTATION AND SEARCH
EFFICIENT INTEGRATION OF SEMANTIC TECHNOLOGIES FOR PROFESSIONAL IMAGE ANNOTATION AND SEARCH Andreas Walter FZI Forschungszentrum Informatik, Haid-und-Neu-Straße 10-14, 76131 Karlsruhe, Germany, awalter@fzi.de
More informationContextual Service Interoperability. Thomas Strang DLR Oberpfaffenhofen
Contextual Service Interoperability Thomas Strang DLR Oberpfaffenhofen 1 Interoperability Levels Service Interoperability Signature Signature Protocol Protocol Semantic Semantic
More informationSLiM : Scalable Live Media Streaming Framework for a U-City
SLiM : Scalable Live Media Streaming Framework for a U-City Eun-Seok Ryu, Chuck Yoo 236, Department of Computer Science and Engineering, Korea University, Anam-Dong, Seongbuk-Gu, Seoul, Korea { esryu,
More informationMobile Services Part 1
Mobile Services Part 1 Pilot survey on location based services, mobile websites and applications Prof. Dr. Uwe Weithöner, Marc Buschler (Bachelor of Arts) Investing in the future by working together for
More informationGraphOnto: OWL-Based Ontology Management and Multimedia Annotation in the DS-MIRF Framework
GraphOnto: OWL-Based Management and Multimedia Annotation in the DS-MIRF Framework Panagiotis Polydoros, Chrisa Tsinaraki and Stavros Christodoulakis Lab. Of Distributed Multimedia Information Systems,
More informationAnnotation for the Semantic Web During Website Development
Annotation for the Semantic Web During Website Development Peter Plessers and Olga De Troyer Vrije Universiteit Brussel, Department of Computer Science, WISE, Pleinlaan 2, 1050 Brussel, Belgium {Peter.Plessers,
More informationTesting the Usability of Visual Languages: A Web-Based Methodology
Testing the Usability of Visual Languages: A Web-Based Methodology Mauro Mosconi Marco Porta Dipartimento di Informatica e Sistemistica Università di Pavia Via Ferrata, 1 27100 Pavia Italy mauro@vision.unipv.it
More informationMIT Database Management Systems Lesson 01: Introduction
MIT 22033 Database Management Systems Lesson 01: Introduction By S. Sabraz Nawaz Senior Lecturer in MIT, FMC, SEUSL Learning Outcomes At the end of the module the student will be able to: Describe the
More informationTHINGS YOU NEED TO KNOW ABOUT USER DOCUMENTATION DOCUMENTATION BEST PRACTICES
5 THINGS YOU NEED TO KNOW ABOUT USER DOCUMENTATION DOCUMENTATION BEST PRACTICES THIS E-BOOK IS DIVIDED INTO 5 PARTS: 1. WHY YOU NEED TO KNOW YOUR READER 2. A USER MANUAL OR A USER GUIDE WHAT S THE DIFFERENCE?
More informationOntology-Driven Information Systems: Challenges and Requirements
Ontology-Driven Information Systems: Challenges and Requirements Burcu Yildiz 1 and Silvia Miksch 1,2 1 Institute for Software Technology and Interactive Systems, Vienna University of Technology, Vienna,
More informationNetworked World.
e-business in a Peer-to-Peer P Georgios M. Milis KIOS Research Center University of Cyprus milis.georgios@ucy.ac.cy Networked World Work funded by the SATINE ICT project: Semantic-based Interoperability
More informationBLU AGE 2009 Edition Agile Model Transformation
BLU AGE 2009 Edition Agile Model Transformation Model Driven Modernization for Legacy Systems 1 2009 NETFECTIVE TECHNOLOGY -ne peut être copiésans BLU AGE Agile Model Transformation Agenda Model transformation
More informationSemantic Bridging of Independent Enterprise Ontologies
Semantic Bridging of Independent Enterprise Ontologies Michael N. Huhns and Larry M. Stephens University of South Carolina, USA, huhns@sc.edu Abstract: Organizational knowledge typically comes from many
More informationCALIBRATION OF A CONCEPTUAL LUTI MODEL BASED ON NEURAL NETWORKS
Advanced OR and AI Methods in Transportation CALIBRATION OF A CONCEPTUAL LUTI MODEL BASED ON NEURAL NETWORKS Frans TILLEMA 1 Abstract. This paper deals with Land-use-Transport-Interaction (LUTI) and presents
More informationEnriching Lifelong User Modelling with the Social e- Networking and e-commerce Pieces of the Puzzle
Enriching Lifelong User Modelling with the Social e- Networking and e-commerce Pieces of the Puzzle Demetris Kyriacou Learning Societies Lab School of Electronics and Computer Science, University of Southampton
More informationSmart Open Services for European Patients. Work Package 3.5 Semantic Services Definition Appendix E - Ontology Specifications
24Am Smart Open Services for European Patients Open ehealth initiative for a European large scale pilot of Patient Summary and Electronic Prescription Work Package 3.5 Semantic Services Definition Appendix
More informationOntology Based Data Access: Where do the Ontologies and Mappings come from?
Ontology Based Data Access: Where do the Ontologies and Mappings come from? Juan F. Sequeda Capsenta juan@capsenta.com 1 Introduction We are experiencing an increase of Ontology Based Data Access (OBDA)
More informationRanking trip search results based on user travel history
Technical Disclosure Commons Defensive Publications Series November 09, 2017 Ranking trip search results based on user travel history Pedro Gonnet Victor Cărbune Follow this and additional works at: http://www.tdcommons.org/dpubs_series
More informationVAX VacationAccess Booking Engine
Amadeus Tours - VAX VacationAccess VAX VacationAccess Booking Engine Frequently Asked Questions Intentionally left blank January 2013 VAX VacationAccess Page 2 Version Date: January 29, 2013 Table of Contents
More informationCognitive Walkthrough Evaluation
Columbia University Libraries / Information Services Digital Library Collections (Beta) Cognitive Walkthrough Evaluation by Michael Benowitz Pratt Institute, School of Library and Information Science Executive
More informationData Streams in ProM 6: A Single-Node Architecture
Data Streams in ProM 6: A Single-Node Architecture S.J. van Zelst, A. Burattin 2, B.F. van Dongen and H.M.W. Verbeek Eindhoven University of Technology {s.j.v.zelst,b.f.v.dongen,h.m.w.verbeek}@tue.nl 2
More informationAutomatic Extraction of Event Information from Newspaper Articles and Web Pages
Automatic Extraction of Event Information from Newspaper Articles and Web Pages Hidetsugu Nanba, Ryuta Saito, Aya Ishino, and Toshiyuki Takezawa Hiroshima City University, Graduate School of Information
More informationThe Hague Smartline: support for the visually impaired
The Hague Smartline: support for the visually impaired Toine Molenschot City of The Hague Department for Urban Development, t.molenschot@dso.denhaag.nl Abstract In The Hague, the third largest city in
More informationDatabase Management Systems MIT Lesson 01 - Introduction By S. Sabraz Nawaz
Database Management Systems MIT 22033 Lesson 01 - Introduction By S. Sabraz Nawaz Introduction A database management system (DBMS) is a software package designed to create and maintain databases (examples?)
More informationD WSMO Data Grounding Component
Project Number: 215219 Project Acronym: SOA4All Project Title: Instrument: Thematic Priority: Service Oriented Architectures for All Integrated Project Information and Communication Technologies Activity
More informationDynamic Clustering of Data with Modified K-Means Algorithm
2012 International Conference on Information and Computer Networks (ICICN 2012) IPCSIT vol. 27 (2012) (2012) IACSIT Press, Singapore Dynamic Clustering of Data with Modified K-Means Algorithm Ahamed Shafeeq
More informationInteractive Transparent Display. Analyst/Designer. K Robert Clark 1/5/16 Digital Studio Practice
Interactive Transparent Display Analyst/Designer K1454389 Robert Clark 1/5/16 Digital Studio Practice CONTENTS Introduction & Background... 2 Current Situation... 2 Design Aims... 2 Design Overview...
More informationEffective Terminology Support for Distributed Digital Collections
Effective Terminology Support for Distributed Digital Collections Martin Doerr Institute of Computer Science, Foundation for Research and Technology Hellas Heraklion-Crete, Greece Paper presented on the
More informationRequirements Engineering for Enterprise Systems
Association for Information Systems AIS Electronic Library (AISeL) AMCIS 2001 Proceedings Americas Conference on Information Systems (AMCIS) December 2001 Requirements Engineering for Enterprise Systems
More informationProposed Revisions to ebxml Technical. Architecture Specification v1.04
Proposed Revisions to ebxml Technical Architecture Specification v1.04 Business Process Team 11 May 2001 (This document is the non-normative version formatted for printing, July 2001) Copyright UN/CEFACT
More informationInfrastructure for Multilayer Interoperability to Encourage Use of Heterogeneous Data and Information Sharing between Government Systems
Hitachi Review Vol. 65 (2016), No. 1 729 Featured Articles Infrastructure for Multilayer Interoperability to Encourage Use of Heterogeneous Data and Information Sharing between Government Systems Kazuki
More informationProviding free Wi-Fi to ensure a means of communication in the event of disaster
Yamanashi Prefecture case study Providing free Wi-Fi to ensure a means of communication in the event of disaster During ordinary times, it can be used for tourism and to provide administrative information
More informationThe Application Research of Semantic Web Technology and Clickstream Data Mart in Tourism Electronic Commerce Website Bo Liu
International Conference on Education Technology, Management and Humanities Science (ETMHS 2015) The Application Research of Semantic Web Technology and Clickstream Data Mart in Tourism Electronic Commerce
More informationDATABASE MANAGEMENT SYSTEMS
CHAPTER DATABASE MANAGEMENT SYSTEMS This chapter reintroduces the term database in a more technical sense than it has been used up to now. Data is one of the most valuable assets held by most organizations.
More informationMetadata Management in the FAO Statistics Division (ESS) Overview of the FAOSTAT / CountrySTAT approach by Julia Stone
Metadata Management in the FAO Statistics Division (ESS) Overview of the FAOSTAT / CountrySTAT approach by Julia Stone Metadata Management in ESS 1. Introduction 2. FAOSTAT metadata collection 3. CountrySTAT
More informationMobile, Smartphones, Wi-Fi, and Apps
Mobile, Smartphones, Wi-Fi, and Apps What Are We Talking About Today? 1. Mobile 2. Different Needs 3. Geolocation & Georeference 4. Mobile-Friendliness 5. Location-Based Services 6. Wi-Fi 7. Apps vs. Websites
More informationIBM Research Report. Model-Driven Business Transformation and Semantic Web
RC23731 (W0509-110) September 30, 2005 Computer Science IBM Research Report Model-Driven Business Transformation and Semantic Web Juhnyoung Lee IBM Research Division Thomas J. Watson Research Center P.O.
More information