Slide 1Objective of the UnitOutline of the UnitSemantic web technologies discussed so farTypes of ApplicationRevisiting OntologyWhat is Ontology Engineering?Manual Constructiob of OntologuesReuseing Exitsing OntologiesSemi/Automatics Methods for Ontology GenerationWhat is Knowledge Management?DirectionsDr. Bhavani ThuraisinghamSeptember 25, 2006Building Trustworthy Semantic WebsLecture #11: Ontology Engineering11-201/15/19 04:25 Objective of the Unit0This unit will provide an overview of the software engineering aspects of ontologies. The field is called Ontology Engineering11-301/15/19 04:25 Outline of the Unit0Summary of semantic web technologies discussed so far0Applications discussed so far0Ontology Engineering0Directions11-401/15/19 04:25 Semantic web technologies discussed so far0XML, XML Schema0RDF, RDF Schema0Ontology, OWL0Logic, Rules, Inference0Some discussion of security issues for each technology-Policy specification, Securing documents11-501/15/19 04:25 Types of Application0Horizontal Information Products at Elsevier: Integration0Data integration at Audi: Integration0Skill finding at Swiss Life: Search0Think Tank Portal at EnterSearch: Knowledge man agent0E-Learning: Knowledge management0Web Services: Web services (for any of the other applications discussed)0Multimedia Collection at Scotland Yard: Searching0Online Procurement at Daimler Chrysler: E-Business0Device Interoperability at Nokia: Interoperability11-601/15/19 04:25 Revisiting Ontology0Common definitions for any entity, person or thing0Several ontologies have been defined and available for use0Defining common ontology for an entity is a challenge0Mappings have to be developed for multiple ontologies0Specific languages have been developed for ontologies-RDF, OWL, DAML+OIL, etc.11-701/15/19 04:25 What is Ontology Engineering?0Tools and Techniques to-Create Ontologies-Specify Ontologies-Maintain Ontologies-Query Ontologies-Evolve Ontologies-Reuse Ontologies-Incorporate features such as security, data quality, integrity11-801/15/19 04:25 Manual Constructiob of Ontologues0Determine Scope0Consider Reuse0Enumerate Terms0Define Taxonomy0Define Properties0Define facets0Define Instances0Check for Anomalies11-901/15/19 04:25 Reuseing Exitsing Ontologies0The goal is not to reinvent the wheel0Several ontologies have been developed for different domains0Codieid Bodies of Expert Knowledge0Integrated Vocabularies0Upper Level Ontologies0Topic Hierarchies0Linguistic Resources0Ontology Libraries11-1001/15/19 04:25 Semi/Automatics Methods for Ontology Generation0Much of the research is focusing on developing ontologies using tools from multiple heterogeneous data sources0Essentially extracting concepts and expanding on concepts from the data sources0Uses combination of data integration, metadata extraction, and machine learning techniques0E.g. Clustering of concepts, Classification of concepts etc.0Text Book describes Semantic Web Knowledge Management Architecture11-1101/15/19 04:25 What is Knowledge Management?0Knowledge management, or KM, is the process through which organizations generate value from their intellectual property and knowledge-based assets0 KM involves the creation, dissemination, and utilization of knowledge0Ontologies are a form of Knowledge?0Reference: http://www.commerce-database.com/knowledge-management.htm?source=google11-1201/15/19 04:25 Directions0Need tools for developing semantic web technologies-XML documents, RDF documents, Ontologies, etc.0How to integrate the multiple ontologjes and tools?0Role of Agents – agents are processes that reasons with semantic web technologies0Semantic web services, data mining, knowledge management
View Full Document
Unlocking...