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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18 Jun 2007TL;DR: This paper provides an explanation of digital ecosystems, their analogy to ecological systems, architecture, swarm intelligence, and comparison to existing networked architecture, and describes how digital ecosystems can benefit from semantic Web ontologies and rules.
Abstract: Digital ecosystems transcend the traditional, rigorously defined, collaborative environments from centralised, distributed or hybrid models into an open, flexible, domain cluster, demand-driven, interactive environment. A digital ecosystem is a newly networked architecture and collaborative environment that addresses the weakness of client-server, peer-to-peer, grid, and Web services. In this paper we provide an explanation of digital ecosystems, their analogy to ecological systems, architecture, swarm intelligence, and comparison to existing networked architecture. We then describe how digital ecosystems can benefit from semantic Web ontologies and rules. Finally, we discuss issues in the collaboration between semantically neighbouring digital ecosystems.
198 citations
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21 Sep 2015TL;DR: The paper provides a taxonomy of PCG algorithms and introduces a framework for PCG driven by computational models of user experience, which is generic and applicable to various subareas of HCI.
Abstract: Procedural content generation is an increasingly important area of technology within modern human-computer interaction with direct applications in digital games, the semantic web, and interface, media and software design. The personalization of experience via the modeling of the user, coupled with the appropriate adjustment of the content according to user needs and preferences are important steps towards effective and meaningful content generation. This paper introduces a framework for procedural content generation driven by computational models of user experience we name Experience-Driven Procedural Content Generation. While the framework is generic and applicable to various subareas of human computer interaction, we employ games as an indicative example of content-intensive software that enables rich forms of interaction.
197 citations
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29 May 2005TL;DR: This paper argues that the full richness of the Grid vision, with its application in e-Science, e-Research, or e-Business, requires the Semantic Grid, an extension of the current Grid in which information and services are given well-defined meaning.
Abstract: Grid computing offers significant enhancements to our capabilities for computation, information processing and collaboration, and has exciting ambitions in many fields of endeavour. This talk will explain why the full richness of the Grid vision, with its application in e-Science, e-Research or e-Business, requires the combination of Semantic Web and Grid – giving us the “Semantic Grid”, an extension of the current Grid in which information and services are given well-defined meaning, better enabling computers and people to work in cooperation. The history and state of the art in Semantic Grid will be presented, and future trends discussed.
197 citations
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TL;DR: DL-Learner is a framework for learning in description logics and OWL, a cross-platform framework implemented in Java that allows easy programmatic access and provides a command line interface, a graphical interface as well as a WSDL-based web service.
Abstract: In this paper, we introduce DL-Learner, a framework for learning in description logics and OWL. OWL is the official W3C standard ontology language for the Semantic Web. Concepts in this language can be learned for constructing and maintaining OWL ontologies or for solving problems similar to those in Inductive Logic Programming. DL-Learner includes several learning algorithms, support for different OWL formats, reasoner interfaces, and learning problems. It is a cross-platform framework implemented in Java. The framework allows easy programmatic access and provides a command line interface, a graphical interface as well as a WSDL-based web service.
197 citations
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TL;DR: This article proposes a distributed technique to perform materialization under the RDFS and OWL ter Horst semantics using the MapReduce programming model and shows that it scales linearly and vastly outperforms current systems in terms of maximum data size and inference speed.
197 citations