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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
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Journal ArticleDOI
TL;DR: A framework for aligning and merging biomedical ontologies (SAMBO), a first step towards a general framework that can be used for comparative evaluations of alignment strategies and their combinations and compared SAMBO with two other systems.

251 citations

Journal ArticleDOI
TL;DR: This article summarizes the SWSA committee's findings, emphasizing its review of requirements gathered from several different environments, and identifies the scope and potential requirements for a semantic Web services architecture.
Abstract: The semantic Web services initiative architecture (SWSA) committee has created a set of architectural and protocol abstractions that serve as a foundation for semantic Web service technologies. This article summarizes the committee's findings, emphasizing its review of requirements gathered from several different environments. We also identify the scope and potential requirements for a semantic Web services architecture.

250 citations

Proceedings Article
30 Jul 2001
TL;DR: The design rationale of RuleML, a rule markup language for the Semantic Web, and the modular syntax and semantics and the current RuleML 0.8 DTDs are presented.
Abstract: This paper lays out the design rationale of RuleML, a rule markup language for the Semantic Web. We give an overview of the RuleML Initiative as a Web ontology effort. Subsequently, the modular syntax and semantics of RuleML and the current RuleML 0.8 DTDs are presented (focusing on the Datalog and URI sublanguages). Then we discuss negation handling, priorities/evidences, as well as agents and RuleML. We next proceed to RuleML implementations via XSLT and rule engines. In our conclusions, we continue to explore the bigger picture of ontologies and discuss some requirements for a future RuleML. An appendix shows our Semantic Web scenario in the insurance industry.

249 citations

Book ChapterDOI
05 Oct 2004
TL;DR: An algorithm for generating locally-calculated reputation ratings from a Semantic Web Social Network is described and results that show the effectiveness of this algorithm to accurately infer the reputation of a node are presented.
Abstract: While most research on the topic of trust on the semantic web has focused largely on digital signatures, certificates, and authentication, more social notions of trust which are reputation-based are starting to gain attention. In this paper, we describe an algorithm for generating locally-calculated reputation ratings from a Semantic Web Social Network. We present mathematical and experimental results that show the effectiveness of this algorithm to accurately infer the reputation of a node. We then describe TrustMail, an application that uses the network for rating email.

249 citations

Proceedings Article
30 Jul 2005
TL;DR: HEX programs are introduced, which are nonmonotonic logic programs admitting higher-order atoms as well as external atoms, and the well-known answer-set semantics are extended to this class of programs.
Abstract: We introduce HEX programs, which are nonmonotonic logic programs admitting higher-order atoms as well as external atoms, and we extend the well-known answer-set semantics to this class of programs. Higher-order features are widely acknowledged as useful for performing meta-reasoning, among other tasks. Furthermore, the possibility to exchange knowledge with external sources in a fully declarative framework such as Answer-Set Programming (ASP) is nowadays important, in particular in view of applications in the Semantic Web area. Through external atoms, HEX programs can model some important extensions to ASP, and are a useful KR tool for expressing various applications. Finally, complexity and implementation issues for a preliminary prototype are discussed.

249 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023116
2022348
2021412
2020612
2019782
2018881