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Is question answering fit for the Semantic Web? A survey

Lopez, Vanessa; Uren, Victoria; Sabou, Marta and Motta, Enrico (2011). Is question answering fit for the Semantic Web? A survey. Semantic Web, 2(2) pp. 125–155.

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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.

Item Type: Journal Item
Copyright Holders: 2011 IOS Press and the authors
ISSN: 2210-4968
Keywords: question answering survey; natural language; Semantic Web; ontology
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 29573
Depositing User: Kay Dave
Date Deposited: 26 Sep 2011 08:16
Last Modified: 09 Dec 2018 16:43
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