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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TL;DR: The main goal of the challenge was to get insight into the strengths, capabilities, and current shortcomings of question answering systems as interfaces to query linked data sources, as well as benchmarking how these interaction paradigms can deal with the fact that the amount of RDF data available on the web is very large and heterogeneous with respect to the vocabularies and schemas used.
174 citations
TL;DR: A survey on ontology-based Question Answering (QA), which has emerged in recent years to exploit the opportunities offered by structured semantic information on the Web, and the potential of this technology to go beyond the current state of the art to support end-users in reusing and querying the SW content.
Abstract: . With the recent rapid growth of the Semantic Web (SW), the processes of searching and querying content that is both massive in scale and heterogeneous have become increasingly challenging. User-friendly interfaces, which can support end users in querying and exploring this novel and diverse, structured information space, are needed to make the vision of the SW a reality. We present a survey on ontology-based Question Answering (QA), which has emerged in recent years to exploit the opportunities offered by structured semantic information on the Web. First, we provide a comprehensive perspective by analyzing the general background and history of the QA research field, from influential works from the artificial intelligence and database communities developed in the 70s and later decades, through open domain QA stimulated by the QA track in TREC since 1999, to the latest commercial semantic QA solutions, before tacking the current state of the art in open userfriendly interfaces for the SW. Second, we examine the potential of this technology to go beyond the current state of the art to support end-users in reusing and querying the SW content. We conclude our review with an outlook for this novel research area, focusing in particular on the R&D directions that need to be pursued to realize the goal of efficient and competent retrieval and integration of answers from large scale, heterogeneous, and continuously evolving semantic sources.
174 citations
TL;DR: The Semantic Web portal MuseumFinland as mentioned in this paper is a semantic portal for publishing heterogeneous museum collections on the Semantic web, and it is shown how museums with their semantically rich and interrelated collection content can create a large, consolidated semantic collection portal together on the web.
174 citations
01 Jan 2006
TL;DR: This chapter presents an on-going research on developing a framework which augments and supplements the semantic web ontology language OWL for representing and reasoning with uncertainty based on Bayesian networks (BN), and its application in ontology mapping.
Abstract: It is always essential but di±cult to capture incomplete, partial or uncertain knowledge when using ontologies to conceptualize an application domain or to achieve semantic interoperability among heterogeneous systems. This chapter presents an on-going research on developing a framework which augments and supplements the semantic web ontology language OWL for representing and reasoning with uncertainty based on Bayesian networks (BN), and its application in ontology mapping.
174 citations
12 Jul 2011
TL;DR: This talk will discuss how the openness and self-descriptiveness of Linked Data provide for splitting data integration costs between data publishers, data consumers and third parties and thus might enable global-scale data integration in an evolutionary, pay-as-yougo fashion.
Abstract: Linked Data technologies provide for setting links between records in distinct databases and thus to connect these databases into a global data space Over the last years, Linked Data technologies have been adopted by an increasing number of data providers, including the US and UK governments as well as mayor players in the media and pharmaceutical industry, leading to the creation of a global Web of Data In his talk, Prof Christian Bizer will give an overview of theWeb of Data as well as the architecture of Linked Data applications that work on top of this data space Afterwards, he will discuss how the openness and self-descriptiveness of Linked Data provide for splitting data integration costs between data publishers, data consumers and third parties and thus might enable global-scale data integration in an evolutionary, pay-as-yougo fashion He will close with an overview of the research challenges that the Linked Data community currently faces
173 citations