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.
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20 Oct 2003
TL;DR: This paper compares three approaches to policy representation, reasoning, and enforcement, highlighting similarities and differences between Ponder, KAoS, and Rei, and sketch out some general criteria and properties for more adequate approach to policy semantics in the future.
Abstract: Policies are being increasingly used for automated system management and controlling the behavior of complex systems. The use of policies allows administrators to modify system behavior without changing source code or requiring the consent or cooperation of the components being governed. Early approaches to policy representation have been restrictive in many ways. However semantically-rich policy representations can reduce human error, simplify policy analysis, reduce policy conflicts, and facilitate interoperability. In this paper, we compare three approaches to policy representation, reasoning, and enforcement. We highlight similarities and differences between Ponder, KAoS, and Rei, and sketch out some general criteria and properties for more adequate approaches to policy semantics in the future.
344 citations
07 May 2002
TL;DR: By ranking words and phrases in the citing documents according to expected entropy loss, this work is able to accurately name clusters of web pages, even with very few positive examples.
Abstract: The structure of the web is increasingly being used to improve organization, search, and analysis of information on the web. For example, Google uses the text in citing documents (documents that link to the target document) for search. We analyze the relative utility of document text, and the text in citing documents near the citation, for classification and description. Results show that the text in citing documents, when available, often has greater discriminative and descriptive power than the text in the target document itself. The combination of evidence from a document and citing documents can improve on either information source alone. Moreover, by ranking words and phrases in the citing documents according to expected entropy loss, we are able to accurately name clusters of web pages, even with very few positive examples. Our results confirm, quantify, and extend previous research using web structure in these areas, introducing new methods for classification and description of pages.
341 citations
TL;DR: The authors investigate the following areas concerning social networks: how to exploit their unprecedented wealth of data and how to mine social networks for purposes such as marketing campaigns; social networks as a particular form of influence; the way that people agree on terminology and this phenomenon's implications for the way the authors build ontologies and the Semantic Web.
Abstract: Social networks have interesting properties. They influence our lives enormously without us being aware of the implications they raise. The authors investigate the following areas concerning social networks: how to exploit our unprecedented wealth of data and how we can mine social networks for purposes such as marketing campaigns; social networks as a particular form of influence, i.e.., the way that people agree on terminology and this phenomenon's implications for the way we build ontologies and the Semantic Web; social networks as something we can discover from data; the use of social network information to offer a wealth of new applications such as better recommendations for restaurants, trustworthy email senders, or (maybe) blind dates; investigation of the richness and difficulty of harvesting FOAF (friend-of-a-friend) information; and by looking at how information processing is bound to social context, the resulting ways that network topology's definition determines its outcomes.
341 citations
26 Jun 2006
TL;DR: The architecture and design principles of IkeWiki, a semantic Wiki developed at Salzburg research, are described, which has been developed primarily as a tool for ontology engineering, but can be used in a variety of application scenarios.
Abstract: This article describes the architecture and design principles of IkeWiki, a Semantic Wiki we developed at Salzburg Research. Outstanding features of IkeWiki are its support for collaborative knowledge engineering, its ease of use, its support for different levels of formalisation ranging from informal texts to formal ontologies, and its sophisticated, interactive user interface. While IkeWiki has been developed primarily as a tool for ontology engineering, it can be used in a variety of application scenarios. We briefly present some of these at the end of the article.
341 citations