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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06 Nov 2005
TL;DR: This work extends the traditional bipartite model of ontologies with the social dimension, leading to a tripartite modelof actors, concepts and instances, and demonstrates the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation.
Abstract: In our work we extend the traditional bipartite model of ontologies with the social dimension, leading to a tripartite model of actors, concepts and instances We demonstrate the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation We illustrate ontology emergence by two case studies, an analysis of a large scale folksonomy system and a novel method for the extraction of community-based ontologies from Web pages
815 citations
TL;DR: This paper proposes a class of applications called collective knowledge systems, which unlock the ''collective intelligence'' of the Social Web with knowledge representation and reasoning techniques of the Semantic Web.
802 citations
TL;DR: The present article details this new approach to build mashups of bioinformatics data and illustrates the building of a mashup used to explore the implication of four transcription factor genes in Parkinson's disease.
800 citations
TL;DR: Four key issues for Web service composition are described, which offer developers reuse possibilities and users seamless access to a variety of complex services.
Abstract: Web service composition lets developers create applications on top of service-oriented computing's native description, discovery, and communication capabilities. Such applications are rapidly deployable and offer developers reuse possibilities and users seamless access to a variety of complex services. There are many existing approaches to service composition, ranging from abstract methods to those aiming to be industry standards. The authors describe four key issues for Web service composition.
770 citations
Proceedings Article•
01 Jul 1998TL;DR: The goal of the research described here is to automatically create a computer understandable world wide knowledge base whose content mirrors that of the World Wide Web, and several machine learning algorithms for this task are described.
Abstract: The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a computer understandable world wide knowledge base whose content mirrors that of the World Wide Web. Such a knowledge base would enable much more effective retrieval of Web information, and promote new uses of the Web to support knowledge-based inference and problem solving. Our approach is to develop a trainable information extraction system that takes two inputs: an ontology defining the classes and relations of interest, and a set of training data consisting of labeled regions of hypertext representing instances of these classes and relations. Given these inputs, the system learns to extract information from other pages and hyperlinks on the Web. This paper describes our general approach, several machine learning algorithms for this task, and promising initial results with a prototype system.
766 citations