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Ontologies for the Semantic Web Prepared By: Tseliso Molukanele Rapelang Rabana Supervisor: Associate Professor Sonia Burman 20 July 2005
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Overview Introduce the Field of Ontologies Approaches to Ontological Engineering Inspirational Toolkit Synthetic Toolkit Resources Required Work Allocation Milestones
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What are Ontologies? “Ontology is a negotiated, agreed conceptualization of reality that is arrived at by consensus involving all stakeholders” An agreed upon description of information: -definition of terms - ‘is-a’ hierachy -‘has-a’ hierachy
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Who uses ontologies? Philosophy AI WWW Library Science Office
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Why use ontologies? A better WWW Automatic Machine processing Faster browsing/searching Realize difference/similarity of concepts
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Evolution of OWL HTML XML RDF (Resource Description Framework ) OWL (Web Ontology Language)
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Project Objectives Develop toolkits that aids the non- Computer Science user: - to create ontologies - to manage/use ontologies
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Ontological Engineering Creating ontologies Inspirational Approach Synthetic Approach
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The Inspirational Approach Own creativity/imagination Personal view of domain No prior constructs From scratch
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Extensions to OWL UCT PhD Student Daniel Semwayo Extra features Granularity Realise niche of entity
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Inspirational Toolkit Build ontologies from users specification Adhere fully to OWL Incorporate Daniel Semwayo’s Extension Be usable
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Questions tackled Does a tool for building usable ontologies exist? Are simple specifications better then more constructs? Is Daniel Semwayo’s extension enforceable?
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Success Factors Complete implementation that adheres to OWL Improved productivity in creation of ontologies Enforcement of extra methodology Improved productivity in the use of ontologies by extra methodology
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The Synthetic Approach Identification of an ontology or set of ontologies Manipulation and merging of ontologies SYNTHESIS of ontologies
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How is this approach useful? Embraces multiple ontologies Opportunity for interaction and sharing
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Related Work ‘Ontology Applications & Design’ -Gruninger and Lee ‘OIL: Ontology Infrastructure to Enable the Semantic Web’ -Fensel and Horrocks
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Gruninger & Lee Approach A Use consortia and standards organizations to develop comprehensive ontology requires collaborative design which is time- consuming and expensive Approach B Develop lots of lightweight and then merge them requires ontology mapping and merging, so ontologies must follow one standard
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Objectives of Synthetic Toolkit Facilitate integrated usage of existing ontologies to produce a customized, more relevant ontology Be usable by non-Computer Scientists
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The Synthetic Toolkit Allow for a base of ontologies to be selected and imported into Toolkit Provide supportive functions: browsing, modifying, manipulating, organising and merging Allow resultant ontology to be exported to an application to be used for a particular purpose, eg: search application
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Limitations of Synthetic Toolkit Synthesis of ontologies built in compliance with a single web ontology language, OWL Merging cannot be fully automated
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Major design Challenges Standardise presentation of diverse and/or large ontologies Importing and merging differing ontologies Ensuring ease of use for non-computer scientists
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How will Toolkit be evaluated? Require: users with some expertise in a particular subjects Users select and synthesize ontologies to suit their needs Users export resultant ontology to search application to ascertain impact on search results
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General Resources Required OWL Parsers Collection of ontologies Database for search application Test subjects
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Work Allocation Inspirational Toolkit & Extensions: Tseliso Molukanele Synthetic Toolkit & Search Application: Rapelang Rabana
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Major Milestones MilestoneDate of Completion Background & Literature Survey26 Aug Ontologies imported to Synthetic Toolkit and Search Engine Implemented Sept 7 Core functionality of Inspirational Toolkit Implemented Sept 12 Supportive Functions of Synthetic Toolkit & Extensions of Inspirational Toolkit Implemented Sept 22 TestingOct 3 Final ReportOct 7
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Conclusion Ontologies play a key role in Knowledge Management Must provide better support for their creation and use Inspirational and Synthetic approaches adopted, explore the possibilities of greater support
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