Topic
Semantic Web
About: Semantic Web is a research topic. Over the lifetime, 26987 publications have been published within this topic receiving 534275 citations. The topic is also known as: Sem Web & SemWeb.
Papers published on a yearly basis
Papers
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01 Jan 2001
TL;DR: This second editionsystematically introduces the notion of ontologies to the non-expert reader and demonstrates in detail how to apply this conceptual framework for improved intranet retrieval of corporate information and knowledge and for enhanced Internet-based electronic commerce.
Abstract: This second editionsystematically introduces the notion of ontologies to the non-expert reader and demonstrates in detail how to apply this conceptual framework for improved intranet retrieval of corporate information and knowledge and for enhanced Internet-based electronic commerce He also describes ontology languages (XML, RDF, and OWL) and ontology tools, and the application of ontologies In addition to structural improvements, the second edition covers recent developments relating to the Semantic Web, and emerging web-based standard languages
1,469 citations
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TL;DR: This work describes the method for benchmarking Semantic Web knowledge base systems with respect to use in large OWL applications and presents the Lehigh University Benchmark (LUBM) as an example of how to design such benchmarks.
1,446 citations
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03 Nov 1997TL;DR: This paper defines Web mining and presents an overview of the various research issues, techniques, and development efforts, and briefly describes WEBMINER, a system for Web usage mining, and concludes the paper by listing research issues.
Abstract: Application of data mining techniques to the World Wide Web, referred to as Web mining, has been the focus of several recent research projects and papers. However, there is no established vocabulary, leading to confusion when comparing research efforts. The term Web mining has been used in two distinct ways. The first, called Web content mining in this paper, is the process of information discovery from sources across the World Wide Web. The second, called Web usage mining, is the process of mining for user browsing and access patterns. We define Web mining and present an overview of the various research issues, techniques, and development efforts. We briefly describe WEBMINER, a system for Web usage mining, and conclude the paper by listing research issues.
1,365 citations
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01 Apr 2007
1,260 citations
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14 Mar 2004TL;DR: An OWL encoded context ontology (CONON) is proposed for modeling context in pervasive computing environments, and for supporting logic-based context reasoning, and provides extensibility for adding domain-specific ontology in a hierarchical manner.
Abstract: Here we propose an OWL encoded context ontology (CONON) for modeling context in pervasive computing environments, and for supporting logic-based context reasoning. CONON provides an upper context ontology that captures general concepts about basic context, and also provides extensibility for adding domain-specific ontology in a hierarchical manner. Based on this context ontology, we have studied the use of logic reasoning to check the consistency of context information, and to reason over low-level, explicit context to derive high-level, implicit context. By giving a performance study for our prototype, we quantitatively evaluate the feasibility of logic based context reasoning for nontime-critical applications in pervasive computing environments, where we always have to deal carefully with the limitation of computational resources.
1,236 citations