ICSC 2008
Second IEEE International Conference on Semantic ComputingSanta Clara, CA, USA - August 4-7, 2008
Introduction to Ontology, RDF, and OWL
Instructors: Lalana Kagal and Anupam Joshi
People become "smarter" by using web search engines like Google to obtain relevant and useful information from the World Wide Web. The Semantic Web aims at making such knowledge more accessible to computer programs, i.e. building "a web of data" as suggested by Tim Berners- Lee. This tutorial gives an overview of Semantic Web technologies and their utility. In particular, Semantic Web languages (e.g. RDF, RDFS and OWL) support sharing and integrating data across application, enterprise, and community boundaries; moreover, Semantic Web ontologies enable "semantic interoperability" and logical inference capability. In information systems, an ontology is an explicit formal specification of how to represent the objects, concepts and other entities relevant to some domain and the relationships that hold among them. An ontology provides a conceptualization of information to be represented in the computer and a vocabulary of terms to use in this representation. This tutorial will cover the basics of the semantic web languages and available tools for building ontologies. It will also show the applications of the semantic web languages in a variety of domains such as such as pervasive computing, policy management, social network analysis, information integration, provenance annotation, and proof sharing.
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Short Bios:
Lalana Kagal is a Research Scientist at the MIT Computer Science and Artificial Intelligence Laboratory and is part of the Decentralized Information Group. Her research interests include policy languages and frameworks, knowledge representation, behavior and knowledge management in dynamic and distributed environments, and privacy and trust in information systems. She received her PhD and M.S. degrees from the University of Maryland, Baltimore County where she worked with the Ebiquity group on various aspects of trust, security, and general policy management in dynamic distributed environments such as the Semantic Web, multi-agent systems, and pervasive computing systems.
Anupam Joshi is a Professor of Computer Science and Electrical Engineering at UMBC. Earlier, he was an Assistant Professor in the CECS department at the University of Missouri, Columbia. He obtained a B. Tech degree in Electrical Engineering from IIT Delhi in 1989, and a Masters and Ph.D. in Computer Science from Purdue University in 1991 and 1993 respectively. His research interests are in the broad area of networked computing and intelligent systems. His primary focus has been on data management and security for mobile, pervasive, and sensor systems. His other focus is in the web space -- Semantic Web, Social Media, and Data/Web Mining. He has published over 150 technical papers, and has obtained research support from a variety of federal and industrial sources.
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Instructors: Lalana Kagal and Anupam Joshi
People become "smarter" by using web search engines like Google to obtain relevant and useful information from the World Wide Web. The Semantic Web aims at making such knowledge more accessible to computer programs, i.e. building "a web of data" as suggested by Tim Berners- Lee. This tutorial gives an overview of Semantic Web technologies and their utility. In particular, Semantic Web languages (e.g. RDF, RDFS and OWL) support sharing and integrating data across application, enterprise, and community boundaries; moreover, Semantic Web ontologies enable "semantic interoperability" and logical inference capability. In information systems, an ontology is an explicit formal specification of how to represent the objects, concepts and other entities relevant to some domain and the relationships that hold among them. An ontology provides a conceptualization of information to be represented in the computer and a vocabulary of terms to use in this representation. This tutorial will cover the basics of the semantic web languages and available tools for building ontologies. It will also show the applications of the semantic web languages in a variety of domains such as such as pervasive computing, policy management, social network analysis, information integration, provenance annotation, and proof sharing.
===============================================
Short Bios:
Lalana Kagal is a Research Scientist at the MIT Computer Science and Artificial Intelligence Laboratory and is part of the Decentralized Information Group. Her research interests include policy languages and frameworks, knowledge representation, behavior and knowledge management in dynamic and distributed environments, and privacy and trust in information systems. She received her PhD and M.S. degrees from the University of Maryland, Baltimore County where she worked with the Ebiquity group on various aspects of trust, security, and general policy management in dynamic distributed environments such as the Semantic Web, multi-agent systems, and pervasive computing systems.
Anupam Joshi is a Professor of Computer Science and Electrical Engineering at UMBC. Earlier, he was an Assistant Professor in the CECS department at the University of Missouri, Columbia. He obtained a B. Tech degree in Electrical Engineering from IIT Delhi in 1989, and a Masters and Ph.D. in Computer Science from Purdue University in 1991 and 1993 respectively. His research interests are in the broad area of networked computing and intelligent systems. His primary focus has been on data management and security for mobile, pervasive, and sensor systems. His other focus is in the web space -- Semantic Web, Social Media, and Data/Web Mining. He has published over 150 technical papers, and has obtained research support from a variety of federal and industrial sources.
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