Wondering about either OWL ontologies or SKOS vocabularies? You need both!
|
|
- Alannah Casey
- 6 years ago
- Views:
Transcription
1 Making sense of content Wondering about either OWL ontologies or SKOS vocabularies? You need both! ISKO UK SKOS Event London, 21st July 2008
2 A few words about Mondeca Founded : 1999 Founder and CEO : Jean Delahousse Team : 15 persons, and steadily growing Tagline : «Making Sense of Content» Early adopter of Semantic Web languages and technologies Business view : Software and services allowing companies and communities to organize, leverage, integrate, augment, publish and otherwise manage their enterprise knowledge assets Flag product : ITM (Intelligent Topic Manager) Does what it says on the box : «Intelligent Topic Management» Quick demo, time permitting Mondeca ISKO UK - SKOS Event, 21st July 2008, London 2
3 What exactly is «Intelligent Topic Management»? A topic is any formal representation of a concept, thing, subject and generally of anything that is identified and described in a structured / formal way Some topic types you might want to manage intelligently if possible Classes and instances - as defined in ontologies and knowledge bases Concepts - as defined in thesauri and similar vocabularies Categories - as defined in classifications and taxonomies Named entities Topics are more or less explicitly defined in legacy Natural language concepts defined in vocabularies or found in documents Data at large a lot of implicit topics are trapped in data bases! There are many ways to represent topics! How do you know which kind of representation is «intelligent»? Depends on what you want to do! A «good» representation is a good balance between some a priori ontological status of the concept (the business view of the world) the intended functional use of the concept in the information system Mondeca ISKO UK - SKOS Event, 21st July 2008, London 3
4 OWL vs SKOS In SKOS The focus is the relation between resources and vocabulary A librarian view of the world Organising vocabulary helps find stuff based on «about-ness» Main topics are concepts : formal instances of the class «skos:concept» The main use of SKOS concepts is to index, classify, search and retrieve resources Based on a limited but extensible set of attributes and relationships Leveraging the documentation / library / thesaurus expertise legacy In OWL (Ontology Web Language) The focus is the description of things in a domain (business objects) A knowledge representation / artificial intelligence / logic view of the world The topics are classes, properties and individuals Linked by arbitrarily complex constraints The main use of OWL ontologies is to structure business objects and data Allowing consistency checking, interface control, inference Mondeca ISKO UK - SKOS Event, 21st July 2008, London 4
5 Librarian vs Logician Librarian : «SKOS is cool because it is simple. I don t care about complex ontologies, I don t need inference.» Some ontologies are very simple Some SKOS concept schemes can be highly complex Librarian should be aware of other things that documents and vocabulary Logician : «I don t understand what those SKOS concepts are. All concepts are classes. All I need is OWL.» Logician does not really care about documents, vocabulary, terminology Sometimes he does not even care about individuals But at some point he will need to find a document among tens of millions Actually you need both Logician and Librarian expertise But it might be tricky To have them sit at the same table To have them agree on a common language To have them listen to each other Mondeca ISKO UK - SKOS Event, 21st July 2008, London 5
6 So you need an ontology (OWL) when You deal with individual business objects Typically to manage a back-office knowledge base Restaurants, Hotels, Tourism Activities in Burgundy Olympic Games results You want to describe those business objects Using attributes specific to a class or generic to several classes Restaurants have geolocation, opening days and min/max menu prices Hotels have geolocation, opening days, category and number of rooms Competitions have discipline, participants, results, medals Using specific constraints on those attributes Allowing control of interfaces, control of integrity of data You want to use those descriptions To control consistency of data about your objects To perform formal queries on those data (of arbitrary complexity) Find a 3-Star camping site near a river in Burgundy, proposing fishing activity, and close to a winery producing Chardonnay Rouge. Find British athletes who got a gold medal in Athletics at Seoul Olympic Games Mondeca ISKO UK - SKOS Event, 21st July 2008, London 6
7 And you need a vocbulary (SKOS) when You have vocabulary legacy Architectural styles, hotel categories, olympic sports and disciplines You want to organize this vocabulary Using generic-specific and associative relationships Allowing synonyms and multiple languages You want to use this vocabulary To index, search and retrieve documents or any kind of resources Most of the time, you need both! You deal with business objects AND vocabulary concepts So you need an ontology (OWL) AND vocabularies (SKOS) Question : how do you use them together? Let s see some use cases and possible approaches Mondeca ISKO UK - SKOS Event, 21st July 2008, London 7
8 Use case #1 : Annuaire de l Administration Française Context : The directory of French Public Administration Notoriously of arbitrary complexity! User access requirements Navigation using both thematic and geographic «taxonomies» Standard Website navigation experience for general public end users No technical vocabulary here! Offices details are stored in a back-office knowledge base Based on a rather flat and simple ontology of the Who, What, Where Using a variety of authority lists > Presentation of the back-office ontology in an ontology editor Front publication uses a somewhat independent taxonomy > Presentation of the front Web Mondeca ISKO UK - SKOS Event, 21st July 2008, London 8
9 Use case #2 : The Olympic Games Context Federate knowledge bases of the International Olympic Committee Disciplines, competitions, ceremonies, athletes, results, medals Providing reference for consistent indexing of multimedia documents Olympic disciplines/events are business objects Each discipline has a date of introduction in Olympic Games, world olympic records Each discipline is organized with specific events Athletics > 100m Men > Final This organization may vary in Olympic games history Each event for specific Olympic Games has participants, results, medals You need an ontology of disciplines! Olympic disciplines as also indexing concepts Photograph : Start of the Men s 100-Metre Final, Seoul, 24 September, 1988 From left to right: Carl Lewis, Linford Christie, Calvin Smith and Ben Johnson. For indexing, a SKOS organisation of disciplines might be enough But the ontology can support consistent indexing! For example knowing the participants of the Seoul final Mondeca ISKO UK - SKOS Event, 21st July 2008, London 9
10 Some Business Objects are also Concepts (or the other way round) 1. Disciplines are concepts 2. Disciplines have specific business properties Mondeca ISKO UK - SKOS Event, 21st July 2008, London 10
11 OWL classes hierarchy vs SKOS concepts hierarchy Concept labels Concept class hierarchy Here be OWL! Concept hierarchy Here be SKOS! Concept hierarchy management Mondeca ISKO UK - SKOS Event, 21st July 2008, London 11
12 Looking at RDF triples Elements of the OWL ontology : SKOS classes + specific attributes :Discipline rdf:type owl:class :Event rdf:type owl:class :Discipline rdfs:subclassof skos:concept :Event rdfs:subclassof skos:concept :olympicsince rdfs:domain :Discipline :longname rdfs:subpropertyof skos:altlabel Instances description : SKOS concepts + specific attributes :AT rdf:type :Discipline :AT skos:preflabel :AT skos:preflabel :ATM001 rdf:type :Event :ATM001 skos:preflabel 100m :ATM001 skos:broader :AT :ATM001 :longname :AT :olympicsince Mondeca ISKO UK - SKOS Event, 21st July 2008, London 12
13 OWL hierarchy vs SKOS hierarchy - continued Beware of hierarchy mismatch! Discipline and Event are both subclasses of skos:concept The «broader» concept of an Event is a Discipline 100 m (H) BT Athletics But Event is not a subclass of Discipline! 100 m (H) IS NOT a Discipline Events do not inherit all properties of Disciplines SKOS applications can ignore the non-skos specific e.g., define a ConceptScheme including all instances of «Sports Concept» OWL-aware applications can implement stronger constraints An Event is a concept of which broader concept is a Discipline :Event owl:equivalentclass [ a owl:restriction; owl:onproperty skos:broader; owl:allvaluesfrom :Discipline ]; Mondeca ISKO UK - SKOS Event, 21st July 2008, London 13
14 Use case #3 : Classifying tourism offer In the back office we have (OWL-driven) Hotels with their category, labels, number of rooms Restaurants with their mini/maxi menu price, labels Shows with their category tarif mini/maxi In the front we have simple navigation categories (in SKOS) Travel budget Low budget Affordable First class Luxury The front categories are populated with rules such as Hotel AND 2star => Low budget Hotel AND 3star => Affordable Restaurant AND menumini between 10 and 15 => Affordable Show AND tarifmini between 8 and 12 => Affordable Mondeca ISKO UK - SKOS Event, 21st July 2008, London 14
15 Use case #3 : Classification rules in SPARQL CONSTRUCT {?x dc:subject :affordable } # Classify as affordable WHERE { # 3 stars Hotels {?x a :Hotel.?x :category :_3Star. } # or Restaurants with menu from 10 to 15 UNION {?x a :Restaurant.?x :menumini?m. FILTER (?m > 10). FILTER (?m < 15). } # or Shows with tarif from 8 to 12 UNION {?x a :Show.?y :tarifmini?t. FILTER (?t > 8). FILTER (?t < 12). } } Mondeca ISKO UK - SKOS Event, 21st July 2008, London 15
16 Conclusion There is a variety of ways to combine OWL and SKOS In most information management systems, you need both OWL is good for building a strong back-office structure With an ontology of business objects SKOS is good for front navigation and user experience The back-to-front transformation can be based on a variety of rules Including the use of SPARQL queries Mondeca ISKO UK - SKOS Event, 21st July 2008, London 16
Vocabulary and Semantics in the Virtual Observatory
Vocabulary and Semantics in the Virtual Observatory Norman Gray VO-TECH / AstroGrid / Uni. Leicester / Uni. Glasgow, UK VOEvent BoF, ADASS, London, 2007 September 24 rdf Resource Description Framework
More information0.1 Knowledge Organization Systems for Semantic Web
0.1 Knowledge Organization Systems for Semantic Web 0.1 Knowledge Organization Systems for Semantic Web 0.1.1 Knowledge Organization Systems Why do we need to organize knowledge? Indexing Retrieval Organization
More informationConverting a thesaurus into an ontology: the use case of URBISOC
Advanced Information Systems Laboratory Cost Action C2 Converting a thesaurus into an ontology: the use case of URBISOC J. Nogueras-Iso, J. Lacasta Alcalá de Henares, 4-5 May 2007 http://iaaa.cps.unizar.es
More informationOn practical aspects of enhancing semantic interoperability using SKOS and KOS alignment
On practical aspects of enhancing semantic interoperability using SKOS and KOS alignment Antoine ISAAC KRR lab, Vrije Universiteit Amsterdam National Library of the Netherlands ISKO UK Meeting, July 21,
More informationStudy and guidelines on Geospatial Linked Data as part of ISA Action 1.17 Resource Description Framework
DG Joint Research Center Study and guidelines on Geospatial Linked Data as part of ISA Action 1.17 Resource Description Framework 6 th of May 2014 Danny Vandenbroucke Diederik Tirry Agenda 1 Introduction
More informationUse of Ontology for production of access systems on Legislation, Jurisprudence and Comments
Use of Ontology for production of access systems on Legislation, Jurisprudence and Comments Jean Delahousse 1, Johan De Smedt 2, Luc Six 2, Bernard Vatant 1 1 Mondeca - 3 cité Nollez 75018 Paris France
More informationAn Introduction to the Semantic Web. Jeff Heflin Lehigh University
An Introduction to the Semantic Web Jeff Heflin Lehigh University The Semantic Web Definition The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined
More informationA brief introduction to SKOS
Taxonomy standards and architecture A brief introduction to SKOS Taxonomy Boot Camp London 17 October 2018 Presented by Heather Hedden Senior Vocabulary Editor Gale, A Cengage Company 1 Controlled Vocabulary
More informationCopyright 2012 Taxonomy Strategies. All rights reserved. Semantic Metadata. A Tale of Two Types of Vocabularies
Taxonomy Strategies July 17, 2012 Copyright 2012 Taxonomy Strategies. All rights reserved. Semantic Metadata A Tale of Two Types of Vocabularies What is semantic metadata? Semantic relationships in the
More informationLinguaggi Logiche e Tecnologie per la Gestione Semantica dei testi
Linguaggi Logiche e Tecnologie per la Gestione Semantica dei testi Outline Brief recap on RDFS+ Using RDFS+ SKOS FOAF Recap RDFS+ includes a subset of the constructs in OWL. It offers more expressive power
More informationSKOS. COMP62342 Sean Bechhofer
SKOS COMP62342 Sean Bechhofer sean.bechhofer@manchester.ac.uk Ontologies Metadata Resources marked-up with descriptions of their content. No good unless everyone speaks the same language; Terminologies
More informationOntologies SKOS. COMP62342 Sean Bechhofer
Ontologies SKOS COMP62342 Sean Bechhofer sean.bechhofer@manchester.ac.uk Metadata Resources marked-up with descriptions of their content. No good unless everyone speaks the same language; Terminologies
More informationThings to consider when using Semantics in your Information Management strategy. Toby Conrad Smartlogic
Things to consider when using Semantics in your Information Management strategy Toby Conrad Smartlogic toby.conrad@smartlogic.com +1 773 251 0824 Some of Smartlogic s 250+ Customers Awards Trend Setting
More informationSemantic Integration with Apache Jena and Apache Stanbol
Semantic Integration with Apache Jena and Apache Stanbol All Things Open Raleigh, NC Oct. 22, 2014 Overview Theory (~10 mins) Application Examples (~10 mins) Technical Details (~25 mins) What do we mean
More informationThe ISO D approach
The ISO 15926 4D approach David Leal, 2016-11-14 With examples of the use of OWL DL inferencing Contents 1. Use of 4D Approach to a stream, as in engineering analysis Instantiation to support inferencing
More informationThe Emerging Data Lake IT Strategy
The Emerging Data Lake IT Strategy An Evolving Approach for Dealing with Big Data & Changing Environments bit.ly/datalake SPEAKERS: Thomas Kelly, Practice Director Cognizant Technology Solutions Sean Martin,
More informationSemantic Technologies and CDISC Standards. Frederik Malfait, Information Architect, IMOS Consulting Scott Bahlavooni, Independent
Semantic Technologies and CDISC Standards Frederik Malfait, Information Architect, IMOS Consulting Scott Bahlavooni, Independent Part I Introduction to Semantic Technology Resource Description Framework
More informationAutoFocus, an Open Source Facet-Driven Enterprise Search Solution
AutoFocus, an Open Source Facet-Driven Enterprise Search Solution ISKO UK Event, November 5, 2007 RANGANATHAN REVISITED: FACETS FOR THE FUTURE presentation by Jeroen Wester, CTO Aduna key facts Open source
More informationSemantic Annotation, Search and Analysis
Semantic Annotation, Search and Analysis Borislav Popov, Ontotext Ontology A machine readable conceptual model a common vocabulary for sharing information machine-interpretable definitions of concepts in
More informationSemantiska webben DFS/Gbg
1 Semantiska webben 2010 DFS/Gbg 100112 Olle Olsson World Wide Web Consortium (W3C) Swedish Institute of Computer Science (SICS) With thanks to Ivan for many slides 2 Trends and forces: Technology Internet
More informationCopyright 2012 Taxonomy Strategies. All rights reserved. Semantic Metadata. A Tale of Two Types of Vocabularies
Taxonomy Strategies October 28, 2012 Copyright 2012 Taxonomy Strategies. All rights reserved. Semantic Metadata A Tale of Two Types of Vocabularies What is the semantic web? Making content web-accessible
More informationSemantic MediaWiki A Tool for Collaborative Vocabulary Development Harold Solbrig Division of Biomedical Informatics Mayo Clinic
Semantic MediaWiki A Tool for Collaborative Vocabulary Development Harold Solbrig Division of Biomedical Informatics Mayo Clinic Outline MediaWiki what it is, how it works Semantic MediaWiki MediaWiki
More informationThe Semantic Web DEFINITIONS & APPLICATIONS
The Semantic Web DEFINITIONS & APPLICATIONS Data on the Web There are more an more data on the Web Government data, health related data, general knowledge, company information, flight information, restaurants,
More informationSWAD-Europe Deliverable 8.1 Core RDF Vocabularies for Thesauri
Mon Jun 07 2004 12:07:51 Europe/London SWAD-Europe Deliverable 8.1 Core RDF Vocabularies for Thesauri Project name: Semantic Web Advanced Development for Europe (SWAD-Europe) Project Number: IST-2001-34732
More informationSKOS - Simple Knowledge Organization System
SKOS - Simple Knowledge Organization System Fulvio Corno, Laura Farinetti Politecnico di Torino Dipartimento di Automatica e Informatica e-lite Research Group http://elite.polito.it Outline SKOS Design
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 informationSemantics. Matthew J. Graham CACR. Methods of Computational Science Caltech, 2011 May 10. matthew graham
Semantics Matthew J. Graham CACR Methods of Computational Science Caltech, 2011 May 10 semantic web The future of the Internet (Web 3.0) Decentralized platform for distributed knowledge A web of databases
More informationSADI Semantic Web Services
SADI Semantic Web Services London, UK 8 December 8 2011 SADI Semantic Web Services Instructor: Luke McCarthy http:// sadiframework.org/training/ 2 Contents 2.1 Introduction to Semantic Web Services 2.1
More informationWeb Ontology for Software Package Management
Proceedings of the 8 th International Conference on Applied Informatics Eger, Hungary, January 27 30, 2010. Vol. 2. pp. 331 338. Web Ontology for Software Package Management Péter Jeszenszky Debreceni
More informationLINKING BACKGROUND INFORMATION
LINKING BACKGROUND INFORMATION INTERLINK D4 Appendix 4, Michel Böhms (TNO) With input from EU V-CON and bsi LDWG OVERVIEW Basic Linking More Background Info on L1/L2/L3 semantic levels Advanced Linking
More informationVocabulary Alignment for archaeological Knowledge Organization Systems
Vocabulary Alignment for archaeological Knowledge Organization Systems 14th Workshop on Networked Knowledge Organization Systems TPDL 2015 Poznan Lena-Luise Stahn September 17, 2015 1 / 20 Summary Introduction
More informationReasoning with the Web Ontology Language (OWL)
Reasoning with the Web Ontology Language (OWL) JESSE WEAVER, PH.D. Fundamental & Computational Sciences Directorate, Senior Research Computer Scientist Discovery 2020 Short Course on Semantic Data Analysis
More information5 RDF and Inferencing
5 RDF and Inferencing In Chapter 1XXX, we introduced the notion of dumb data, and how a more connected web infrastructure can result in behavior that lets smart applications perform to their potential.
More informationMetadata Standards and Applications. 6. Vocabularies: Attributes and Values
Metadata Standards and Applications 6. Vocabularies: Attributes and Values Goals of Session Understand how different vocabularies are used in metadata Learn about relationships in vocabularies Understand
More informationTerminologies, Knowledge Organization Systems, Ontologies
Terminologies, Knowledge Organization Systems, Ontologies Gerhard Budin University of Vienna TSS July 2012, Vienna Motivation and Purpose Knowledge Organization Systems In this unit of TSS 12, we focus
More informationEloquent WebSuite Planning Guide
ELOQUENT SYSTEMS INC Eloquent WebSuite Planning Guide Volume WS2 - Managing Authority Files Published on February 14, 2011 2/11/2011 This manual describes how the Eloquent WebSuite software controls the
More informationIntegration of the Semantic Web with Meta Object Facilities
Integration of the Semantic Web with Meta Object Facilities Work in progress supported by the U.S. General Service Administration s Open Source egov Reference Architecture (OsEra) Project Cory Casanave,
More informationGenTax: A Generic Methodology for Deriving OWL and RDF-S Ontologies from Hierarchical Classifications, Thesauri, and Inconsistent Taxonomies
Leopold Franzens Universität Innsbruck GenTax: A Generic Methodology for Deriving OWL and RDF-S Ontologies from Hierarchical Classifications, Thesauri, and Inconsistent Taxonomies Martin HEPP DERI Innsbruck
More informationClassification and reference vocabulary in Linked Environment Data
Classification and reference vocabulary in Linked Environment Data Joachim Fock, Maria Rüther, Thomas Schultz-Krutisch, Federal Environment Agency (UBA), Germany Thomas Bandholtz, innoq Deutschland GmbH
More informationControlled vocabularies, taxonomies, and thesauruses (and ontologies)
Controlled vocabularies, taxonomies, and thesauruses (and ontologies) When people maintain a vocabulary of terms and sometimes, metadata about these terms they often use different words to refer to this
More informationPublishing Vocabularies on the Web. Guus Schreiber Antoine Isaac Vrije Universiteit Amsterdam
Publishing Vocabularies on the Web Guus Schreiber Antoine Isaac Vrije Universiteit Amsterdam Acknowledgements Alistair Miles, Dan Brickley, Mark van Assem, Jan Wielemaker, Bob Wielinga Participants of
More informationSKOS Standards and Best Practises for USING Knowledge Organisation Systems ON THE Semantic Web
NKOS workshop ECDL Bath 2004-09-16 SKOS Standards and Best Practises for USING Knowledge Organisation Systems ON THE Semantic Web Rutherford Appleton Laboratory Overview Intro SKOS Core SKOS API SKOS Mapping
More informationISSUES IN INFORMATION RETRIEVAL Brian Vickery. Presentation at ISKO meeting on June 26, 2008 At University College, London
ISSUES IN INFORMATION RETRIEVAL Brian Vickery Presentation at ISKO meeting on June 26, 2008 At University College, London NEEDLE IN HAYSTACK MY BACKGROUND Plant chemist, then reports librarian Librarian,
More informationReport from the W3C Semantic Web Best Practices Working Group
Report from the W3C Semantic Web Best Practices Working Group Semantic Web Best Practices and Deployment Thomas Baker, Göttingen State and University Library Cashmere-int Workshop Standardisation and Transmission
More informationInformation Retrieval and Knowledge Organisation
Information Retrieval and Knowledge Organisation Knut Hinkelmann Content Information Retrieval Indexing (string search and computer-linguistic aproach) Classical Information Retrieval: Boolean, vector
More informationA Semantic MediaWiki-Empowered Terminology Registry
Proc. Int l Conf. on Dublin Core and Metadata Applications 2009 A Semantic MediaWiki-Empowered Terminology Registry Qing Zou School of Information Studies McGill University, Canada qing.zou2@mail.mcgill.ca
More informationIntroduction and background
page 1 of 9 To: Joint Steering Committee for Development of RDA From: Gordon Dunsire, CILIP representative Subject: RDF representation of RDA relationship designators: discussion paper Introduction and
More informationOWL a glimpse. OWL a glimpse (2) requirements for ontology languages. requirements for ontology languages
OWL a glimpse OWL Web Ontology Language describes classes, properties and relations among conceptual objects lecture 7: owl - introduction of#27# ece#720,#winter# 12# 2# of#27# OWL a glimpse (2) requirements
More informationTaking a view on bio-ontologies. Simon Jupp Functional Genomics Production Team ICBO, 2012 Graz, Austria
Taking a view on bio-ontologies Simon Jupp Functional Genomics Production Team ICBO, 2012 Graz, Austria Who we are European Bioinformatics Institute one of world s largest bio data and service providers
More informationOntology-based Virtual IoT Devices for Edge Computing
Ontology-based Virtual IoT Devices for Edge Computing The 8th International Conference on the Internet of Things (IoT 2018) Santa Barbara, California, USA October 15 18, 2018 Kristina Sahlmann, Thomas
More informationPulling Together, or
Pulling Together, or How I Learned to Love the Semantic Web Kate Byrne, School of Informatics, University of Edinburgh 14th November 2008 1 Outline The Semantic Web what is it? how does it work? Pulling
More informationJOHN SHEPHERDSON... AUTOMATIC KEYWORD GENERATION TECHNICAL SERVICES DIRECTOR UK DATA ARCHIVE UNIVERSITY OF ESSEX...
AUTOMATIC KEYWORD GENERATION.... JOHN SHEPHERDSON... TECHNICAL SERVICES DIRECTOR UNIVERSITY OF ESSEX... DEVCON1 UNIVERSITY OF ESSEX 12 APRIL 2013 Abstract HASSET is a subject thesaurus that has been developed
More informationContents. G52IWS: The Semantic Web. The Semantic Web. Semantic web elements. Semantic Web technologies. Semantic Web Services
Contents G52IWS: The Semantic Web Chris Greenhalgh 2007-11-10 Introduction to the Semantic Web Semantic Web technologies Overview RDF OWL Semantic Web Services Concluding comments 1 See Developing Semantic
More informationThe AGROVOC Concept Scheme - A Walkthrough
Journal of Integrative Agriculture 2012, 11(5): 694-699 May 2012 REVIEW The AGROVOC Concept Scheme - A Walkthrough Sachit Rajbhandari and Johannes Keizer Food and Agriculture Organization of the United
More informationTaxonomy Tools: Collaboration, Creation & Integration. Dow Jones & Company
Taxonomy Tools: Collaboration, Creation & Integration Dave Clarke Global Taxonomy Director dave.clarke@dowjones.com Dow Jones & Company Introduction Software Tools for Taxonomy 1. Collaboration 2. Creation
More informationINF3580/4580 Semantic Technologies Spring 2017
INF3580/4580 Semantic Technologies Spring 2017 Lecture 10: OWL, the Web Ontology Language Leif Harald Karlsen 20th March 2017 Department of Informatics University of Oslo Reminders Oblig. 5: First deadline
More informationLanguages and tools for building and using ontologies. Simon Jupp, James Malone
An overview of ontology technology Languages and tools for building and using ontologies Simon Jupp, James Malone jupp@ebi.ac.uk, malone@ebi.ac.uk Outline Languages OWL and OBO classes, individuals, relations,
More informationDeep integration of Python with Semantic Web technologies
Deep integration of Python with Semantic Web technologies Marian Babik, Ladislav Hluchy Intelligent and Knowledge Technologies Group Institute of Informatics, SAS Goals of the presentation Brief introduction
More informationToday: RDF syntax. + conjunctive queries for OWL. KR4SW Winter 2010 Pascal Hitzler 3
Today: RDF syntax + conjunctive queries for OWL KR4SW Winter 2010 Pascal Hitzler 3 Today s Session: RDF Schema 1. Motivation 2. Classes and Class Hierarchies 3. Properties and Property Hierarchies 4. Property
More informationExtracting Ontologies from Standards: Experiences and Issues
Extracting Ontologies from Standards: Experiences and Issues Ken Baclawski, Yuwang Yin, Sumit Purohit College of Computer and Information Science Northeastern University Eric S. Chan Oracle Abstract We
More informationMapping between Digital Identity Ontologies through SISM
Mapping between Digital Identity Ontologies through SISM Matthew Rowe The OAK Group, Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK m.rowe@dcs.shef.ac.uk
More informationLinking SharePoint Documents with Structured Data. Towards Unified Views of Business-critical Information. Andreas Blumauer Director PoolParty Ltd, UK
Linking SharePoint Documents with Structured Data Towards Unified Views of Business-critical Information Andreas Blumauer Director PoolParty Ltd, UK 2 Andreas Blumauer serves customers Semantic Web Company
More informationOntology Summit2007 Survey Response Analysis. Ken Baclawski Northeastern University
Ontology Summit2007 Survey Response Analysis Ken Baclawski Northeastern University Outline Communities Ontology value, issues, problems, solutions Ontology languages Terms for ontology Ontologies April
More informationTopBraid EVN. A Tour of Recent Enhancements. Copyright 2014 TopQuadrant Inc. Slide 1
TopBraid EVN A Tour of Recent Enhancements 2014 Copyright 2014 TopQuadrant Inc. Slide 1 TopBraid EVN 4.5 Copyright 2014 TopQuadrant Inc. Slide 2 TopBraid Enterprise Vocabulary Net (EVN) Supports different
More informationChapter 3 Research Method
Chapter 3 Research Method 3.1 A Ontology-Based Method As we mention in section 2.3.6, we need a common approach to build up our ontologies for different B2B standards. In this chapter, we present a ontology-based
More informationSemantic challenges in sharing dataset metadata and creating federated dataset catalogs
Linked Open Data in Agriculture MACS-G20 Workshop in Berlin, September 27th 28th, 2017 Semantic challenges in sharing dataset metadata and creating federated dataset catalogs The example of the CIARD RING
More informationFlexible Tools for the Semantic Web
Flexible Tools for the Semantic Web (instead of Jans Aasman from Franz Inc.) Software Systems Group (STS) Hamburg University of Technology (TUHH) Hamburg-Harburg, Germany (and GmbH & Co. KG) 1 Flexible
More informationLinked Data and RDF. COMP60421 Sean Bechhofer
Linked Data and RDF COMP60421 Sean Bechhofer sean.bechhofer@manchester.ac.uk Building a Semantic Web Annotation Associating metadata with resources Integration Integrating information sources Inference
More informationTHE GETTY VOCABULARIES TECHNICAL UPDATE
AAT TGN ULAN CONA THE GETTY VOCABULARIES TECHNICAL UPDATE International Working Group Meetings January 7-10, 2013 Joan Cobb Gregg Garcia Information Technology Services J. Paul Getty Trust International
More informationINF3580 Semantic Technologies Spring 2012
INF3580 Semantic Technologies Spring 2012 Lecture 10: OWL, the Web Ontology Language Martin G. Skjæveland 20th March 2012 Department of Informatics University of Oslo Outline Reminder: RDFS 1 Reminder:
More informationLibrary Technology Conference, March 20, 2014 St. Paul, MN
Library Technology Conference, March 20, 2014 St. Paul, MN A formal statement of concepts used within a knowledge domain, and the relationships between those concepts Genealogical ontologies Taxonomic
More informationFalcon-AO: Aligning Ontologies with Falcon
Falcon-AO: Aligning Ontologies with Falcon Ningsheng Jian, Wei Hu, Gong Cheng, Yuzhong Qu Department of Computer Science and Engineering Southeast University Nanjing 210096, P. R. China {nsjian, whu, gcheng,
More informationChapter 8: Enhanced ER Model
Chapter 8: Enhanced ER Model Subclasses, Superclasses, and Inheritance Specialization and Generalization Constraints and Characteristics of Specialization and Generalization Hierarchies Modeling of UNION
More informationH1 Spring B. Programmers need to learn the SOAP schema so as to offer and use Web services.
1. (24 points) Identify all of the following statements that are true about the basics of services. A. If you know that two parties implement SOAP, then you can safely conclude they will interoperate at
More informationThe Semantic Web. Mansooreh Jalalyazdi
1 هو العليم 2 The Semantic Web Mansooreh Jalalyazdi 3 Content Syntactic web XML Add semantics Representation Language RDF, RDFS OWL Query languages 4 History of the Semantic Web Tim Berners-Lee vision
More informationThe P2 Registry
The P2 Registry -------------------------------------- Where the Semantic Web and Web 2.0 meet Digital Preservation David Tarrant, Steve Hitchcock & Les Carr davetaz / sh94r / lac @ecs.soton.ac.uk School
More informationOpenPlant Accelerating ISO Adoption Through Open Applications.
OpenPlant Accelerating ISO 15926 Adoption Through Open Applications. Presented By: Dr. Manoj Dharwadkar Director of Data Interoperability, Bentley Systems POSC Caesar Members Meeting - Houston February
More informationLinked data and its role in the semantic web. Dave Reynolds, Epimorphics
Linked data and its role in the semantic web Dave Reynolds, Epimorphics Ltd @der42 Roadmap What is linked data? Modelling Strengths and weaknesses Examples Access other topics image: Leo Oosterloo @ flickr.com
More informationAdding formal semantics to the Web
Adding formal semantics to the Web building on top of RDF Schema Jeen Broekstra On-To-Knowledge project Context On-To-Knowledge IST project about content-driven knowledge management through evolving ontologies
More informationINFORMATION RETRIEVAL SYSTEM: CONCEPT AND SCOPE
15 : CONCEPT AND SCOPE 15.1 INTRODUCTION Information is communicated or received knowledge concerning a particular fact or circumstance. Retrieval refers to searching through stored information to find
More informationSemantic Web Test
Semantic Web Test 24.01.2017 Group 1 No. A B C D 1 X X X 2 X X 3 X X 4 X X 5 X X 6 X X X X 7 X X 8 X X 9 X X X 10 X X X 11 X 12 X X X 13 X X 14 X X 15 X X 16 X X 17 X 18 X X 19 X 20 X X 1. Which statements
More informationScaling the Semantic Wall with AllegroGraph and TopBraid Composer. A Joint Webinar by TopQuadrant and Franz
Scaling the Semantic Wall with AllegroGraph and TopBraid Composer A Joint Webinar by TopQuadrant and Franz Dean Allemang Chief Scientist, TopQuadrant Inc. Jans Aasman CTO, Franz Inc. July 07 1 This Seminar
More informationOntological Modeling: Part 7
Ontological Modeling: Part 7 Terry Halpin LogicBlox and INTI International University This is the seventh in a series of articles on ontology-based approaches to modeling. The main focus is on popular
More informationThe National Cancer Institute's Thésaurus and Ontology
The National Cancer Institute's Thésaurus and Ontology Jennifer Golbeck 1, Gilberto Fragoso 2, Frank Hartel 2, Jim Hendler 1, Jim Oberthaler 2, Bijan Parsia 1 1 University of Maryland, College Park 2 National
More informationData Foundations & Terminology (DFT) WG/IG & VSIG https://rd-alliance.org/groups/data-foundations-and-terminology-ig.html
Data Foundations & Terminology (DFT) WG/IG & VSIG https://rd-alliance.org/groups/data-foundations-and-terminology-ig.html Gary Berg-Cross (RDA US Advisory Committee) RDA P7 Joint VSIG DFT Meeting Th. March
More informationFusing Corporate Thesaurus Management with Linked Data using PoolParty
Fusing Corporate Thesaurus Management with Linked Data using PoolParty Thomas Schandl PoolParty at a glance Developed by punkt. netservices Current release: PoolParty 2.8 Main focus on three application
More informationStandards for classifying services and related information in the public sector
Standards for classifying services and related information in the public sector SCRAN Research Brief No.5 Abstract This report describes the role of standards in local government. It draws on the experience
More informationPoolParty. Thesaurus Management Semantic Search Linked Data. ISKO UK, London September 14, Andreas Blumauer
PoolParty Thesaurus Management Semantic Search Linked Data ISKO UK, London September 14, 2010 Andreas Blumauer Some thoughts on the Semantic Web In the Semantic Web, it is not the Semantic which is new,
More informationEnhancing information services using machine to machine terminology services
Enhancing information services using machine to machine terminology services Gordon Dunsire Presented to the IFLA 2009 Satellite Conference Looking at the past and preparing for the future 20-21 Aug 2009,
More informationFor many people it would appear that there is no difference between information and data.
or? by Keith Gordon I have been involved in Management for eighteen years and throughout that time the question of the difference between information and data has constantly been raising its head. The
More informationA service based on Linked Data to classify Web resources using a Knowledge Organisation System
A service based on Linked Data to classify Web resources using a Knowledge Organisation System A proof of concept in the Open Educational Resources domain Abstract One of the reasons why Web resources
More informationKnowledge Representations. How else can we represent knowledge in addition to formal logic?
Knowledge Representations How else can we represent knowledge in addition to formal logic? 1 Common Knowledge Representations Formal Logic Production Rules Semantic Nets Schemata and Frames 2 Production
More informationSemantics and the Web: e-government Implications of some Emerging Technology Beyond W3C
Semantics and the Web: e-government Implications of some Emerging Technology Beyond W3C Adrian Walker www.reengineeringllc.com Presentation for the Collaborative Expedition Workshop #35, September 14,
More informationARKive-ERA Project Lessons and Thoughts
ARKive-ERA Project Lessons and Thoughts Semantic Web for Scientific and Cultural Organisations Convitto della Calza 17 th June 2003 Paul Shabajee (ILRT, University of Bristol) 1 Contents Context Digitisation
More informationEnterprise Knowledge Map: Toward Subject Centric Computing. March 21st, 2007 Dmitry Bogachev
Enterprise Knowledge Map: Toward Subject Centric Computing March 21st, 2007 Dmitry Bogachev Are we ready?...the idea of an application is an artificial one, convenient to the programmer but not to the
More informationTowards Semantic IoT, onem2m Base Ontology
Towards Semantic IoT, onem2m Base Ontology Dr. Mahdi Ben Alaya Founder & CEO, Sensinov benalaya@sensinov.com www.sensinov.com October 23, 2017 Do we really need semantic? onem2m Release-1 ensure interoperability
More informationMaking BioPAX SPARQL
Making BioPAX SPARQL hands on... start a terminal create a directory jena_workspace, move into that directory download jena.jar (http://tinyurl.com/3vlp7rw) download biopax data (http://www.biopax.org/junk/homosapiens.nt
More informationManaging semantics with content using DITA XML
Managing semantics with content using DITA XML presented by Erik Hennum IBM STG User Technology March 2006 The talk at a glance The need for content semantics Background about SKOS and DITA The XML implementation
More informationKDI OWL. Fausto Giunchiglia and Mattia Fumagallli. University of Trento
KDI OWL Fausto Giunchiglia and Mattia Fumagallli University of Trento Roadmap Introduction The OWL Full Language OWL DL and OWL lite Exercises 2 Introduction Chapter 1 3 Requirements for Ontology Languages
More informationSemantic Web Company. PoolParty - Server. PoolParty - Technical White Paper.
Semantic Web Company PoolParty - Server PoolParty - Technical White Paper http://www.poolparty.biz Table of Contents Introduction... 3 PoolParty Technical Overview... 3 PoolParty Components Overview...
More information