Ontology for Feature Based Selection of Web Development Tools
|
|
- Wesley Davis
- 6 years ago
- Views:
Transcription
1 Ontology for Feature Based Selection of Web Development Tools Neelam Mukhtar, Sara Shahzad, Mohammad Abid Khan, Shah Nazir Department of Computer Science, University of Peshawar Abstract- Organizations and individuals are mainly concerned to get opinions about different products, services and events for making suitable choices. The main contribution of this research is the design of an ontology that will help a user to select appropriate (popular) tools for web designing on the basis of certain characteristics and features of tools. The ontology is based on experts' opinions of software engineering practitioners and researchers (scholars). I. INTRODUCTION Ontologies are used to structure information. Ontologies can be reused and shared. A common vocabulary is provided by the ontologies that defines the meaning of different terms, attributes and the relationships between them [1]. The scope of ontologies are not limited to a hierarchical relationship among the concepts only, other forms of relationships like synonymy, or more complex relationships can also be described by ontologies in a better way. Ontologies provide a lot of semantic information. Concepts, relationships and entities are easily defined using ontologies [2]. While deciding tools for web designing, people select an appropriate tool on the basis of its features. A researcher thus finds other people s opinion about the tools features. Extracting opinions from text is called Opinion Mining (OM). OM aims to extract knowledge automatically from user generated contents [3]. An idea, vision, or approach that is based on emotion rather than reason is a sentiment. Therefore opinion mining is usually called sentiment analysis [4]. Searching of opinion thus combines retrieval of information and sentiment analysis [5]. Main aim is the identification of product features, upon which opinions are expressed by the customers in different reviews and feed backs. Features may be for example product subparts, product attributes and product functions [6]. The details about the different aspects of the product under consideration are focused. A feature basically means attributes or components of the product. Feature extraction is very important in opinion mining as customers usually do not give opinions on the product as a whole but they give opinions, according to its individual features [7]. In feature based opinion mining the features of an object or a product that are expressed through opinions are extracted and then summarized [8]. In this research we have presented the design of ontology for web tool selection based on feature extraction in opinion mining. The process of analysis of information collected is also presented in the paper. The proposed ontology will help in the selection of appropriate tool (according to user requirements) on the basis of certain features (about which the opinions were collected from the young software engineers). This paper is arranged in the following way. Related work is presented in section 2. In Section 3, data collection methodology that is used is discussed. In section 4 the analysis and results are discussed. Ontology for web tool selection is presented in section 5. Conclusion is provided in section 6. II. RELATED WORK Ontologies are used by different researchers in feature based opinion mining. Cadilhac et al. [8] used domain ontologies for structuring and extracting object features. Aciar et al. [9] utilized ontology while proposing a feature extraction method for opinion mining. Their method semantically worked smoothly but difficulties arise while maintaining the ontology in case of expansion of data. Lazhar and Yamina [2] focused on domain ontologies, particularly for structuring of features, extraction of explicit and implicit features and for producing summaries. Pe nalver-mart ınez et al. [1] proposed a methodology for feature based opinion mining that used ontologies for feature selection and provided a vector analysis based method for sentiment analysis. Sureka et al. [10] presented an algorithm for automatically building an ontology that is domain specific. This ontology can be used as a lexical resource while performing sentiment analysis (which is target specific) in specific time. Phyu Shein [11] used the combination approach for sentiment classification. In this approach, domain ontology and supervised learning technique is used for extraction of features and opinions from reviews or comments. Somprasertsri [12] used ontology to distinguish between different features of the product. Product ontology is designed manually that is used to group
2 terminologies by using patterns for regular expression. Table 2.User views about characteristics of different tools. III. DATA COLLECTION FOR WEB TOOL SELECTION ONTOLOGY To get an idea about the tools, commonly used for web designing and development, a structured questionnaire (with closed ended questions) was designed. The list of tools, available in the market, was placed different categories under the following headings: a) front end tools b) back end tools c) client side scripting d) server side scripting e) web Server. After that a list of characteristics of the tools, according to ISO 9126 [13] was provided. In ISO 9126 quality model, different characteristics (Table 2) are categorized under the following main headings: a) usability b) portability c) functionality d) efficiency e) reliability f) maintainability. The questionnaire was filled by 20 young software engineers related to an academic institution. These software engineers were domain experts as they had much expertise about the given tools. The data taken from questionnaires in the form of selected tools and their characteristics was carefully observed and recorded. The frequency for all the tools and characteristics (being selected) was obtained as shown in Table 1 and Table 2. Table 1. User views about usage of different tools. IV. ANALYSIS AND RESULTS Tools and their characteristics as selected by the respondents with a frequency of at least eight (out of twenty) were considered (as popular ones) while the remaining (less popular tools and characteristics) were discarded. In the next phase, the tools and the characteristics were arranged in a contingency table to check each popular (commonly used) tool with respect to its different characteristics (commonly required). Chi- square test was applied to check whether the two criteria of classification are independent or they are associated with each other (people select tools on the basis of their characteristics or they select randomly). The result (in the form of P-value less than 0.05) indicated that there is association between the two criteria. Charts were drawn to see which characteristics are highly possessed by particular tools.
3 Fig. 1. Comparison of characteristics of Dream weaver and Adobe Photoshop Fig. 4. Comparison of characteristics of PHP and ASP Fig. 2. Comparison of characteristics of My SQL Fig. 5. Comparison of characteristics of Apache and WAMP After carefully observing Fig.1 to 5, it is noted that there are few characteristics that are popular and are mostly required by the tools that are mentioned in these figures. Table 3 provides a quick overview of these figures. Table 3. Tools with mostly required characteristics Fig. 3. Comparison of characteristics of Java Script and HTML+CSS Mostly required characteristics were then considered. Efforts were made to chalk out the popular tools that are having those characteristics.
4 Fig. 6. Comparison of Freely availability and understandability Fig. 9. Comparison of Resource behavior and flexibility Fig. 7. Comparison of Adaptability and Install ability Fig Comparison of Cross platform and Recoverable. Fig. 8. Comparison of Suitability and Accuracy Fig. 11. Comparison of changeability and stability. Analysis of the charts as seen in Fig. 6 to 11, helped in identifying the popular tools and is having the characteristics that are mostly required. Table 4 provides a quick overview of these figures.
5 Table 4. Tools with frequently required characteristics. Both Table 3 and Table 4 are used in designing specific ontology (see Fig. 13). V. ONTOLOGY FOR WEB DEVELOPMENT TOOL SELECTION On the basis of these observations first a general ontology (Fig. 12) is designed in Protégé 2000 [15] that will help the user to find commonly used tools for web designing on the basis of commonly required characteristics. Fig.12. General ontology to select the appropriate web designing tools on the basis of certain characteristics that are commonly required. As already discussed ontology is a precise description of concepts, properties, attributes of concepts and certain constraints on properties. Ontology given in Fig. 12 is designed in Protégé 2000 which is a graphical tool for ontologydevelopment that supports a rich knowledge model. The ontology is designed by utilizing the data from Table 1 and Table 2 (as already discussed in section IV, 8 out of 20 frequencies were considered). A main class "commonly used web designing tool" with two sub classes "mostly required characteristics" and "mostly required tools" was formed. Tools with high frequency are placed under the "mostly required tools" class. Similarly the high frequency characteristics were placed under the headings. The headings were further categorized. These desirable characteristics were further classified according to certain tools that possess these characteristics. From Table 3 and Table 4, most Popular tools (on the basis of data collected from the questionnaire) i.e. Front End (Dream Weaver), Back End (My SQL), Client Side Scripting (Java Script), Server Side Scripting (PHP), Web Server (Apache, WAMP) and most popular characteristics (Freely available, Installable, Suitable, Flexible, Cross platform, Recoverable, Changeable) were arranged and chi square test was applied. In all the cases P-value was less than.05 that showed that there is association between these tools and characteristics. Thus it may be concluded that if the above mentioned characteristics are required then these mentioned
6 tools may be selected. Specific Ontology (Fig. 13) is thus designed in Protégé Fig. 13. Specific Ontology for most popular tools on the basis of most popular characteristics on the basis of collected data. Ontology in Fig. 13 is designed by using the data in Table 3 and Table 4. Specifically, ontology is designed for the most popular characteristics that are usually required by the most popular tools that possess these characteristics. VI. CONCLUSION Tool selection is a very important design decision for software engineers. Expert opinion of practitioners is definitely a big help and is highly appreciated by young software engineers. Access to experts may not always be easy. In this case an ontology based on the expert opinion is the better option, compare to selecting a tool blindly. The idea of presenting this ontological model for tool selection is twofold. One is that it provides a benefit to the young web developers in deciding over the tools for developing websites. Secondly, it provides an insight on how to design ontology for feature extraction in opinion mining. This is a model which can be taken further to an advanced level by including more tools and more characteristics and collection the opinions of experts in the field. References [1] I. Peñalver-Martínez, R. Valencia-García, and F. García-Sánchez, "Ontology-Guided Approach to Feature-Based Opinion Mining," in Natural Language Processing and Information Systems. vol. 6716: Springer Berlin Heidelberg, pp [2] F. Lazhar and T. G. Yamina, "Identification of Opinions in Arabic Texts Using Ontologies," Information Technology & Software Engineering, pp. 1-3, [3] A. Harb, M. Plantié, G. Dray, M. Roche, F. Trousset, and P. Poncelet, "Web opinion mining: how to extract opinions from blogs?," in Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology, Cergy-Pontoise, France, [4] K. Khan, B. B.Baharudin, A. Khan, and Fazal-e- Malik, "Mining opinion from text documents: A survey," in rd IEEE International Conference on Digital Ecosystems and Technologie, 2009, pp [5] B. Liu, "Sentiment Analysis and Subjectivity " in Handbook of Natural Language Processing, N. I. a. F. J. Damerau), Ed., [6] Y. W. Lo and V. Potdar, "A review of opinion mining and sentiment classification framework in social networks," in rd IEEE International Conference on Digital Ecosystems and Technologies, 2009, pp [7] H. Jeong, D. Shin, and J. Choi, "FEROM: Feature Extraction and Refinement for Opinion Mining," ETRI, vol. 33, pp , [8] A. Cadilhac, F. Benamara, and N. Aussenac- Gilles, "Ontolexical resources for feature based opinion mining : a case-study," in Proceedings of the 6th Workshop on Ontologies and Lexical Resources (Ontolex 2010) Beijing, 2010, pp [9] S. Aciar, D. Zhang, S. Simoff, and J. Debenham, "Informed Recommender: Basing Recommendations on Consumer Product Reviews," Intelligent Systems, IEEE, vol. 22, pp , [10] A. Sureka, V. Goyal, D. Correa, and A. Mondal, "Generating Domain-Specific Ontology from Common-Sense Semantic Network for Target- Specific sentiment Analysis," in Fifth International Conference of the Global WordNet Association (GWC), 2010, [11] K. P. P. Shein, "Ontology based combined approach for sentiment classification," in Proceedings of the 3rd International Conference on Communications and information technology Vouliagmeni, Athens, Greece: World Scientific and Engineering Academy and Society (WSEAS), [12] G. Somprasertsri and P. Lalitrojwong, "Mining Feature-Opinion in Online Customer Reviews for Opinion Summarization," Journal of Universal Computer Science, vol. 16, pp , [13] I. S. Organization, "Software Engineering Product [14] Quality," Parts 1-4, ISO/IEC9126,
Nearest Clustering Algorithm for Satellite Image Classification in Remote Sensing Applications
Nearest Clustering Algorithm for Satellite Image Classification in Remote Sensing Applications Anil K Goswami 1, Swati Sharma 2, Praveen Kumar 3 1 DRDO, New Delhi, India 2 PDM College of Engineering for
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 informationRiMOM Results for OAEI 2009
RiMOM Results for OAEI 2009 Xiao Zhang, Qian Zhong, Feng Shi, Juanzi Li and Jie Tang Department of Computer Science and Technology, Tsinghua University, Beijing, China zhangxiao,zhongqian,shifeng,ljz,tangjie@keg.cs.tsinghua.edu.cn
More informationWEB PAGE RE-RANKING TECHNIQUE IN SEARCH ENGINE
WEB PAGE RE-RANKING TECHNIQUE IN SEARCH ENGINE Ms.S.Muthukakshmi 1, R. Surya 2, M. Umira Taj 3 Assistant Professor, Department of Information Technology, Sri Krishna College of Technology, Kovaipudur,
More informationEasy Knowledge Engineering and Usability Evaluation of Longan Knowledge-Based System
Easy Knowledge Engineering and Usability Evaluation of Longan Knowledge-Based System ChureeTechawut 1,*, Rattasit Sukhahuta 1, Pawin Manochai 2, Jariya Visithpanich 3, Yuttana Khaosumain 4 1 Computer Science
More informationSemantic Web Mining and its application in Human Resource Management
International Journal of Computer Science & Management Studies, Vol. 11, Issue 02, August 2011 60 Semantic Web Mining and its application in Human Resource Management Ridhika Malik 1, Kunjana Vasudev 2
More informationAn Intelligent Retrieval Platform for Distributional Agriculture Science and Technology Data
An Intelligent Retrieval Platform for Distributional Agriculture Science and Technology Data Xiaorong Yang 1,2, Wensheng Wang 1,2, Qingtian Zeng 3, and Nengfu Xie 1,2 1 Agriculture Information Institute,
More informationClassifying Twitter Data in Multiple Classes Based On Sentiment Class Labels
Classifying Twitter Data in Multiple Classes Based On Sentiment Class Labels Richa Jain 1, Namrata Sharma 2 1M.Tech Scholar, Department of CSE, Sushila Devi Bansal College of Engineering, Indore (M.P.),
More informationOn Transformation from The Thesaurus into Domain Ontology
On Transformation from The Thesaurus into Domain Ontology Ping Li, Yong Li Department of Computer Science and Engineering, Qujing Normal University Qujing, 655011, China E-mail: qjncliping@126.com Abstract:
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 informationA Visual Tool for Supporting Developers in Ontology-based Application Integration
A Visual Tool for Supporting Developers in Ontology-based Application Integration Tobias Wieschnowsky 1 and Heiko Paulheim 2 1 SAP Research tobias.wieschnowsky@sap.com 2 Technische Universität Darmstadt
More informationSentiment Analysis for Customer Review Sites
Sentiment Analysis for Customer Review Sites Chi-Hwan Choi 1, Jeong-Eun Lee 2, Gyeong-Su Park 2, Jonghwa Na 3, Wan-Sup Cho 4 1 Dept. of Bio-Information Technology 2 Dept. of Business Data Convergence 3
More informationEuropean Conference on Quality and Methodology in Official Statistics (Q2008), 8-11, July, 2008, Rome - Italy
European Conference on Quality and Methodology in Official Statistics (Q2008), 8-11, July, 2008, Rome - Italy Metadata Life Cycle Statistics Portugal Isabel Morgado Methodology and Information Systems
More informationFeature and Sentiment based Linked Instance RDF Data towards Ontology based Review Categorization
, July 1-3, 2015, London, U.K. Feature and Sentiment based Linked Instance RDF Data towards Ontology based Review Categorization D. Teja Santosh, B. Vishnu Vardhan, Member, IAENG Abstract-Online reviews
More informationThe Comparative Study of Machine Learning Algorithms in Text Data Classification*
The Comparative Study of Machine Learning Algorithms in Text Data Classification* Wang Xin School of Science, Beijing Information Science and Technology University Beijing, China Abstract Classification
More informationEVALUATION OF THE USABILITY OF EDUCATIONAL WEB MEDIA: A CASE STUDY OF GROU.PS
EVALUATION OF THE USABILITY OF EDUCATIONAL WEB MEDIA: A CASE STUDY OF GROU.PS Turgay Baş, Hakan Tüzün Hacettepe University (TURKEY) turgaybas@hacettepe.edu.tr, htuzun@hacettepe.edu.tr Abstract In this
More informationKeywords Data alignment, Data annotation, Web database, Search Result Record
Volume 5, Issue 8, August 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Annotating Web
More informationCIRGDISCO at RepLab2012 Filtering Task: A Two-Pass Approach for Company Name Disambiguation in Tweets
CIRGDISCO at RepLab2012 Filtering Task: A Two-Pass Approach for Company Name Disambiguation in Tweets Arjumand Younus 1,2, Colm O Riordan 1, and Gabriella Pasi 2 1 Computational Intelligence Research Group,
More informationDiscovering Advertisement Links by Using URL Text
017 3rd International Conference on Computational Systems and Communications (ICCSC 017) Discovering Advertisement Links by Using URL Text Jing-Shan Xu1, a, Peng Chang, b,* and Yong-Zheng Zhang, c 1 School
More informationAnalysis of Extended Performance for clustering of Satellite Images Using Bigdata Platform Spark
Analysis of Extended Performance for clustering of Satellite Images Using Bigdata Platform Spark PL.Marichamy 1, M.Phil Research Scholar, Department of Computer Application, Alagappa University, Karaikudi,
More informationCompetitive Intelligence and Web Mining:
Competitive Intelligence and Web Mining: Domain Specific Web Spiders American University in Cairo (AUC) CSCE 590: Seminar1 Report Dr. Ahmed Rafea 2 P age Khalid Magdy Salama 3 P age Table of Contents Introduction
More informationBest Customer Services among the E-Commerce Websites A Predictive Analysis
www.ijecs.in International Journal Of Engineering And Computer Science ISSN: 2319-7242 Volume 5 Issues 6 June 2016, Page No. 17088-17095 Best Customer Services among the E-Commerce Websites A Predictive
More informationDomain-specific Concept-based Information Retrieval System
Domain-specific Concept-based Information Retrieval System L. Shen 1, Y. K. Lim 1, H. T. Loh 2 1 Design Technology Institute Ltd, National University of Singapore, Singapore 2 Department of Mechanical
More informationSimulation of Zhang Suen Algorithm using Feed- Forward Neural Networks
Simulation of Zhang Suen Algorithm using Feed- Forward Neural Networks Ritika Luthra Research Scholar Chandigarh University Gulshan Goyal Associate Professor Chandigarh University ABSTRACT Image Skeletonization
More informationConstruction of Knowledge Base for Automatic Indexing and Classification Based. on Chinese Library Classification
Construction of Knowledge Base for Automatic Indexing and Classification Based on Chinese Library Classification Han-qing Hou, Chun-xiang Xue School of Information Science & Technology, Nanjing Agricultural
More informationHarmonization of usability measurements in ISO9126 software engineering standards
Harmonization of usability measurements in ISO9126 software engineering standards Laila Cheikhi, Alain Abran and Witold Suryn École de Technologie Supérieure, 1100 Notre-Dame Ouest, Montréal, Canada laila.cheikhi.1@ens.etsmtl.ca,
More informationA Web Based Registration system for Higher Educational Institutions in Greece: the case of Energy Technology Department-TEI of Athens
A Web Based Registration system for Higher Educational Institutions in Greece: the case of Energy Technology Department-TEI of Athens S. ATHINEOS 1, D. KAROLIDIS 2, P. PRENTAKIS 2, M. SAMARAKOU 2 1 Department
More informationShrey Patel B.E. Computer Engineering, Gujarat Technological University, Ahmedabad, Gujarat, India
International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2018 IJSRCSEIT Volume 3 Issue 3 ISSN : 2456-3307 Some Issues in Application of NLP to Intelligent
More informationText Classification for Spam Using Naïve Bayesian Classifier
Text Classification for E-mail Spam Using Naïve Bayesian Classifier Priyanka Sao 1, Shilpi Chaubey 2, Sonali Katailiha 3 1,2,3 Assistant ProfessorCSE Dept, Columbia Institute of Engg&Tech, Columbia Institute
More informationReference Point Detection for Arch Type Fingerprints
Reference Point Detection for Arch Type Fingerprints H.K. Lam 1, Z. Hou 1, W.Y. Yau 1, T.P. Chen 1, J. Li 2, and K.Y. Sim 2 1 Computer Vision and Image Understanding Department Institute for Infocomm Research,
More informationData Mining Technology Based on Bayesian Network Structure Applied in Learning
, pp.67-71 http://dx.doi.org/10.14257/astl.2016.137.12 Data Mining Technology Based on Bayesian Network Structure Applied in Learning Chunhua Wang, Dong Han College of Information Engineering, Huanghuai
More informationAspect Design Pattern for Non Functional Requirements
Aspect Design Pattern for Non Functional Requirements FAZAL-E-AMIN¹, ANSAR SIDDIQ², HAFIZ FAROOQ AHMAD³ ¹ ²International Islamic University Islamabad, Pakistan ³NUST Institute of Information Technology,
More informationImproving the Efficiency of Fast Using Semantic Similarity Algorithm
International Journal of Scientific and Research Publications, Volume 4, Issue 1, January 2014 1 Improving the Efficiency of Fast Using Semantic Similarity Algorithm D.KARTHIKA 1, S. DIVAKAR 2 Final year
More informationSupporting Documentation and Evolution of Crosscutting Concerns in Business Processes
Supporting Documentation and Evolution of Crosscutting Concerns in Business Processes Chiara Di Francescomarino supervised by Paolo Tonella dfmchiara@fbk.eu - Fondazione Bruno Kessler, Trento, Italy Abstract.
More informationA Study on Metadata Extraction, Retrieval and 3D Visualization Technologies for Multimedia Data and Its Application to e-learning
A Study on Metadata Extraction, Retrieval and 3D Visualization Technologies for Multimedia Data and Its Application to e-learning Naofumi YOSHIDA In this paper we discuss on multimedia database technologies
More informationDevelopment of Prediction Model for Linked Data based on the Decision Tree for Track A, Task A1
Development of Prediction Model for Linked Data based on the Decision Tree for Track A, Task A1 Dongkyu Jeon and Wooju Kim Dept. of Information and Industrial Engineering, Yonsei University, Seoul, Korea
More informationSemantic Web Search Model for Information Retrieval of the Semantic Data *
Semantic Web Search Model for Information Retrieval of the Semantic Data * Okkyung Choi 1, SeokHyun Yoon 1, Myeongeun Oh 1, and Sangyong Han 2 Department of Computer Science & Engineering Chungang University
More informationEnhancing applications with Cognitive APIs IBM Corporation
Enhancing applications with Cognitive APIs After you complete this section, you should understand: The Watson Developer Cloud offerings and APIs The benefits of commonly used Cognitive services 2 Watson
More informationThe Specifications Exchange Service of an RM-ODP Framework
The Specifications Exchange Service of an RM-ODP Framework X. Blanc (*+), M-P. Gervais(*), J. Le Delliou(+) (*)Laboratoire d'informatique de Paris 6-8 rue du Capitaine Scott F75015 PARIS (+)EDF Research
More informationQuantifying and Assessing the Merge of Cloned Web-Based System: An Exploratory Study
Quantifying and Assessing the Merge of Cloned Web-Based System: An Exploratory Study Jadson Santos Department of Informatics and Applied Mathematics Federal University of Rio Grande do Norte, UFRN Natal,
More informationOntology Matching with CIDER: Evaluation Report for the OAEI 2008
Ontology Matching with CIDER: Evaluation Report for the OAEI 2008 Jorge Gracia, Eduardo Mena IIS Department, University of Zaragoza, Spain {jogracia,emena}@unizar.es Abstract. Ontology matching, the task
More informationTERM BASED WEIGHT MEASURE FOR INFORMATION FILTERING IN SEARCH ENGINES
TERM BASED WEIGHT MEASURE FOR INFORMATION FILTERING IN SEARCH ENGINES Mu. Annalakshmi Research Scholar, Department of Computer Science, Alagappa University, Karaikudi. annalakshmi_mu@yahoo.co.in Dr. A.
More informationData formats for exchanging classifications UNSD
ESA/STAT/AC.234/22 11 May 2011 UNITED NATIONS DEPARTMENT OF ECONOMIC AND SOCIAL AFFAIRS STATISTICS DIVISION Meeting of the Expert Group on International Economic and Social Classifications New York, 18-20
More informationResearch and Application of Mobile Geographic Information Service Technology Based on JSP Chengtong GUO1, a, Yan YAO1,b
4th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2016) Research and Application of Mobile Geographic Information Service Technology Based on JSP Chengtong GUO1, a,
More informationDISCOVERING INFORMATIVE KNOWLEDGE FROM HETEROGENEOUS DATA SOURCES TO DEVELOP EFFECTIVE DATA MINING
DISCOVERING INFORMATIVE KNOWLEDGE FROM HETEROGENEOUS DATA SOURCES TO DEVELOP EFFECTIVE DATA MINING Ms. Pooja Bhise 1, Prof. Mrs. Vidya Bharde 2 and Prof. Manoj Patil 3 1 PG Student, 2 Professor, Department
More informationK-MEANS BASED CONSENSUS CLUSTERING (KCC) A FRAMEWORK FOR DATASETS
K-MEANS BASED CONSENSUS CLUSTERING (KCC) A FRAMEWORK FOR DATASETS B Kalai Selvi PG Scholar, Department of CSE, Adhiyamaan College of Engineering, Hosur, Tamil Nadu, (India) ABSTRACT Data mining is the
More informationCATEGORIZATION OF THE DOCUMENTS BY USING MACHINE LEARNING
CATEGORIZATION OF THE DOCUMENTS BY USING MACHINE LEARNING Amol Jagtap ME Computer Engineering, AISSMS COE Pune, India Email: 1 amol.jagtap55@gmail.com Abstract Machine learning is a scientific discipline
More informationEnhancement of CAD model interoperability based on feature ontology
SOTECH Vol. 9, No. 3, pp. 33 ~ 4, 2005 Enhancement of CAD model interoperability based on feature ontology Lee, Y.S. 1, Cheon, S.U. 2 and Han, S.H. 2 1 Samsung Electronics, 2 KAIST, Dept. of Mechanical
More informationA Developer s Guide to the Semantic Web
A Developer s Guide to the Semantic Web von Liyang Yu 1. Auflage Springer 2011 Verlag C.H. Beck im Internet: www.beck.de ISBN 978 3 642 15969 5 schnell und portofrei erhältlich bei beck-shop.de DIE FACHBUCHHANDLUNG
More informationContext Sensitive Search Engine
Context Sensitive Search Engine Remzi Düzağaç and Olcay Taner Yıldız Abstract In this paper, we use context information extracted from the documents in the collection to improve the performance of the
More informationTEXT PREPROCESSING FOR TEXT MINING USING SIDE INFORMATION
TEXT PREPROCESSING FOR TEXT MINING USING SIDE INFORMATION Ms. Nikita P.Katariya 1, Prof. M. S. Chaudhari 2 1 Dept. of Computer Science & Engg, P.B.C.E., Nagpur, India, nikitakatariya@yahoo.com 2 Dept.
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 informationPERFORMANCE EVALUATION OF ONTOLOGY AND FUZZYBASE CBIR
PERFORMANCE EVALUATION OF ONTOLOGY AND FUZZYBASE CBIR ABSTRACT Tajman sandhu (Research scholar) Department of Information Technology Chandigarh Engineering College, Landran, Punjab, India yuvi_taj@yahoo.com
More informationEvolving SQL Queries for Data Mining
Evolving SQL Queries for Data Mining Majid Salim and Xin Yao School of Computer Science, The University of Birmingham Edgbaston, Birmingham B15 2TT, UK {msc30mms,x.yao}@cs.bham.ac.uk Abstract. This paper
More informationComparative Study of RDB to RDF Mapping using D2RQ and R2RML Mapping Languages
International Journal of Information Sciences and Application. ISSN 0974-2255 Volume 10, Number 1 (2018), pp. 23-36 International Research Publication House http://www.irphouse.com Comparative Study of
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 informationAmr Mausad Sauber. : - Assistant Professor of Computer Science, Math Department, Faculty of Science, Menoufiya University since
Amr Mausad Sauber Material Status : Married Birth Date : 14/7/1982 Address : Menoufya, Berket el Sabaa, Mahkama Square Phone : 0113499800-01017557990 Email : AmrMausad@computalityit.com Web Site : www.computalityit.com
More informationIntroducing Partial Matching Approach in Association Rules for Better Treatment of Missing Values
Introducing Partial Matching Approach in Association Rules for Better Treatment of Missing Values SHARIQ BASHIR, SAAD RAZZAQ, UMER MAQBOOL, SONYA TAHIR, A. RAUF BAIG Department of Computer Science (Machine
More informationDetection of Missing Values from Big Data of Self Adaptive Energy Systems
Detection of Missing Values from Big Data of Self Adaptive Energy Systems MVD tool detect missing values in timeseries energy data Muhammad Nabeel Computer Science Department, SST University of Management
More informationAnalyzing Outlier Detection Techniques with Hybrid Method
Analyzing Outlier Detection Techniques with Hybrid Method Shruti Aggarwal Assistant Professor Department of Computer Science and Engineering Sri Guru Granth Sahib World University. (SGGSWU) Fatehgarh Sahib,
More informationSecure Image Sharing on Shared Web Sites Using Adaptive Privacy Policy Prediction System
Secure Image Sharing on Shared Web Sites Using Adaptive Privacy Policy Prediction System Miss Akanksha R.Watane Prof.P.B.Sambhare Abstract: - Many social media sites like Facebook, flicker are performing
More informationIntelligent Environment Architecture For Heterogeneous Applications
Intelligent Environment Architecture For Heterogeneous Applications Magdy Aboul-Ela Sadat Academy for Management Sciences Computer and Information Systems Department P.O. Box 2222, Kournich-ElNile, El-Maadi,
More informationKarami, A., Zhou, B. (2015). Online Review Spam Detection by New Linguistic Features. In iconference 2015 Proceedings.
Online Review Spam Detection by New Linguistic Features Amir Karam, University of Maryland Baltimore County Bin Zhou, University of Maryland Baltimore County Karami, A., Zhou, B. (2015). Online Review
More informationINFORMATION SECURITY MANAGEMENT SYSTEMS CERTIFICATION RESEARCH IN THE ROMANIAN ORGANIZATIONS
U.P.B. Sci. Bull., Series D, Vol. 77, Iss. 4, 2015 ISSN 1454-2358 INFORMATION SECURITY MANAGEMENT SYSTEMS CERTIFICATION RESEARCH IN THE ROMANIAN ORGANIZATIONS Bogdan ŢIGĂNOAIA 1, Anca-Alexandra PURCĂREA
More informationEFFICIENT ATTRIBUTE REDUCTION ALGORITHM
EFFICIENT ATTRIBUTE REDUCTION ALGORITHM Zhongzhi Shi, Shaohui Liu, Zheng Zheng Institute Of Computing Technology,Chinese Academy of Sciences, Beijing, China Abstract: Key words: Efficiency of algorithms
More informationThe Skill Research of Interactive Web Site Based on.net: The Design and Development Yanwei XU 1, a, Honghui GONG 2, Ting ZHANG 3
3rd International Conference on Machinery, Materials and Information Technology Applications (ICMMITA 2015) The Skill Research of Interactive Web Site Based on.net: The Design and Development Yanwei XU
More informationFinding Topic-centric Identified Experts based on Full Text Analysis
Finding Topic-centric Identified Experts based on Full Text Analysis Hanmin Jung, Mikyoung Lee, In-Su Kang, Seung-Woo Lee, Won-Kyung Sung Information Service Research Lab., KISTI, Korea jhm@kisti.re.kr
More informationTwitter data Analytics using Distributed Computing
Twitter data Analytics using Distributed Computing Uma Narayanan Athrira Unnikrishnan Dr. Varghese Paul Dr. Shelbi Joseph Research Scholar M.tech Student Professor Assistant Professor Dept. of IT, SOE
More informationTHE ENSEMBLE CONCEPTUAL CLUSTERING OF SYMBOLIC DATA FOR CUSTOMER LOYALTY ANALYSIS
THE ENSEMBLE CONCEPTUAL CLUSTERING OF SYMBOLIC DATA FOR CUSTOMER LOYALTY ANALYSIS Marcin Pełka 1 1 Wroclaw University of Economics, Faculty of Economics, Management and Tourism, Department of Econometrics
More informationDevelopment of an e-library Web Application
Development of an e-library Web Application Farrukh SHAHZAD Assistant Professor al-huda University, Houston, TX USA Email: dr.farrukh@alhudauniversity.org and Fathi M. ALWOSAIBI Information Technology
More informationImage Classification Using Wavelet Coefficients in Low-pass Bands
Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, USA, August -7, 007 Image Classification Using Wavelet Coefficients in Low-pass Bands Weibao Zou, Member, IEEE, and Yan
More informationTaccumulation of the social network data has raised
International Journal of Advanced Research in Social Sciences, Environmental Studies & Technology Hard Print: 2536-6505 Online: 2536-6513 September, 2016 Vol. 2, No. 1 Review Social Network Analysis and
More informationOn Color Image Quantization by the K-Means Algorithm
On Color Image Quantization by the K-Means Algorithm Henryk Palus Institute of Automatic Control, Silesian University of Technology, Akademicka 16, 44-100 GLIWICE Poland, hpalus@polsl.gliwice.pl Abstract.
More informationPECULIARITIES OF LINKED DATA PROCESSING IN SEMANTIC APPLICATIONS. Sergey Shcherbak, Ilona Galushka, Sergey Soloshich, Valeriy Zavgorodniy
International Journal "Information Models and Analyses" Vol.2 / 2013, Number 2 139 PECULIARITIES OF LINKED DATA PROCESSING IN SEMANTIC APPLICATIONS Sergey Shcherbak, Ilona Galushka, Sergey Soloshich, Valeriy
More informationAn Annotation Tool for Semantic Documents
An Annotation Tool for Semantic Documents (System Description) Henrik Eriksson Dept. of Computer and Information Science Linköping University SE-581 83 Linköping, Sweden her@ida.liu.se Abstract. Document
More informationINTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET)
INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY (IJCET) International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-6367(Print), ISSN 0976 6367(Print) ISSN 0976 6375(Online)
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 informationJava Learning Object Ontology
Java Learning Object Ontology Ming-Che Lee, Ding Yen Ye & Tzone I Wang Laboratory of Intelligent Network Applications Department of Engineering Science National Chung Kung University Taiwan limingche@hotmail.com,
More informationSC32 WG2 Metadata Standards Tutorial
SC32 WG2 Metadata Standards Tutorial Metadata Registries and Big Data WG2 N1945 June 9, 2014 Beijing, China WG2 Viewpoint Big Data magnifies the existing challenges and issues of managing and interpreting
More informationThe Analysis and Proposed Modifications to ISO/IEC Software Engineering Software Quality Requirements and Evaluation Quality Requirements
Journal of Software Engineering and Applications, 2016, 9, 112-127 Published Online April 2016 in SciRes. http://www.scirp.org/journal/jsea http://dx.doi.org/10.4236/jsea.2016.94010 The Analysis and Proposed
More informationQuality and usability: A new framework
van Veenendaal, E, and McMullan, J (eds) Achieving software product quality, Tutein Nolthenius, Netherlands, 1997 Quality and usability: A new framework Nigel Bevan Usability Services National Physical
More informationMetadata Quality Evaluation of a Repository Based on a Sample Technique
Metadata Quality Evaluation of a Repository Based on a Sample Technique Marc Goovaerts and Dirk Leinders Hasselt University Library, Belgium {marc.goovaerts,dirk.leinders}@uhasselt.be Abstract. In this
More informationOptimization of Query Processing in XML Document Using Association and Path Based Indexing
Optimization of Query Processing in XML Document Using Association and Path Based Indexing D.Karthiga 1, S.Gunasekaran 2 Student,Dept. of CSE, V.S.B Engineering College, TamilNadu, India 1 Assistant Professor,Dept.
More informationD&D Knowledge Management Information Tool
D&D Knowledge Management Information Tool 2011-11297 H. Upadhyay*, L. Lagos*, W. Quintero*, P. Shoffner*, J. DeGregory**, J. Hunter*** *Applied Research Center, Florida International University, Miami.
More information1. Survey Introduction
1. Survey Introduction The WritersUA Skills & Technologies Survey is now in progress. Please consider contributing your experiences. This helps make the results better for everyone. The survey consists
More informationMeta-Content framework for back index generation
Meta-Content framework for back index generation Tripti Sharma, Assistant Professor Department of computer science Chhatrapati Shivaji Institute of Technology. Durg, India triptisharma@csitdurg.in Sarang
More informationPowering Knowledge Discovery. Insights from big data with Linguamatics I2E
Powering Knowledge Discovery Insights from big data with Linguamatics I2E Gain actionable insights from unstructured data The world now generates an overwhelming amount of data, most of it written in natural
More informationCollaborative Ontology Construction using Template-based Wiki for Semantic Web Applications
2009 International Conference on Computer Engineering and Technology Collaborative Ontology Construction using Template-based Wiki for Semantic Web Applications Sung-Kooc Lim Information and Communications
More informationBusiness Requirements of Knowledge Management Ontology to Support a Software Deployment Process
Business Requirements of Knowledge Management Ontology to Support a Software Deployment Process Annette Lerine Steenkamp steenkamp@ltu.edu Lawrence Technological University Southfield, MI 48075-1058 USA
More informationCognitive Analysis of Software Interfaces
2011 International Conference on Information and Network Technology IPCSIT vol.4 (2011) (2011) IACSIT Press, Singapore Cognitive Analysis of Software Interfaces B.Venkata Raju, Ph.D Scholar, Reg.No.2004199506
More informationOntology Development. Qing He
A tutorial report for SENG 609.22 Agent Based Software Engineering Course Instructor: Dr. Behrouz H. Far Ontology Development Qing He 1 Why develop an ontology? In recent years the development of ontologies
More information2. The Proposed Process Model of CBD Main phases of CBD process model are shown, in figure Introduction
Survey-Based Analysis of the Proposed Component-Based Development Process M. Rizwan Jameel Qureshi Dept. of Computer Science, COMSATS Institute of Information Technology, Lahore anriz@hotmail.com Ph #
More informationDesign and Implementation of Cost Effective MIS for Universities
Fourth LACCEI International Latin American and Caribbean Conference for Engineering and Technology (LACCET 2006) Breaking Frontiers and Barriers in Engineering: Education, Research and Practice 21-23 June
More informationNeural Network Classifier for Isolated Character Recognition
Neural Network Classifier for Isolated Character Recognition 1 Ruby Mehta, 2 Ravneet Kaur 1 M.Tech (CSE), Guru Nanak Dev University, Amritsar (Punjab), India 2 M.Tech Scholar, Computer Science & Engineering
More informationData Mining for Fault Diagnosis and Machine Learning. for Rotating Machinery
Key Engineering Materials Vols. 293-294 (2005) pp 175-182 online at http://www.scientific.net (2005) Trans Tech Publications, Switzerland Online available since 2005/Sep/15 Data Mining for Fault Diagnosis
More informationFast Face Detection Assisted with Skin Color Detection
IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661,p-ISSN: 2278-8727, Volume 18, Issue 4, Ver. II (Jul.-Aug. 2016), PP 70-76 www.iosrjournals.org Fast Face Detection Assisted with Skin Color
More informationGraph Matching Iris Image Blocks with Local Binary Pattern
Graph Matching Iris Image Blocs with Local Binary Pattern Zhenan Sun, Tieniu Tan, and Xianchao Qiu Center for Biometrics and Security Research, National Laboratory of Pattern Recognition, Institute of
More informationThe Research on the Method of Process-Based Knowledge Catalog and Storage and Its Application in Steel Product R&D
The Research on the Method of Process-Based Knowledge Catalog and Storage and Its Application in Steel Product R&D Xiaodong Gao 1,2 and Zhiping Fan 1 1 School of Business Administration, Northeastern University,
More informationSOMSN: An Effective Self Organizing Map for Clustering of Social Networks
SOMSN: An Effective Self Organizing Map for Clustering of Social Networks Fatemeh Ghaemmaghami Research Scholar, CSE and IT Dept. Shiraz University, Shiraz, Iran Reza Manouchehri Sarhadi Research Scholar,
More informationExtending the AAT Tool with a User-Friendly and Powerful Mechanism to Retrieve Complex Information from Educational Log Data *
Extending the AAT Tool with a User-Friendly and Powerful Mechanism to Retrieve Complex Information from Educational Log Data * Stephen Kladich, Cindy Ives, Nancy Parker, and Sabine Graf Athabasca University,
More information