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Abstract
Linked Data semantic sources, in particular DBpedia, can be used to answer many user queries. PowerAqua is an open multi-ontology Question Answering (QA) system for the Semantic Web (SW). However, the emergence of Linked Data, characterized by its openness, heterogeneity and scale, introduces a new dimension to the Semantic Web scenario, in which exploiting the relevant information to extract answers for Natural Language (NL) user queries is a major challenge. In this paper we discuss the issues and lessons learned from our experience of integrating PowerAqua as a front-end for DBpedia and a subset of Linked Data sources. As such, we go one step beyond the state of the art on end-users interfaces for Linked Data by introducing mapping and fusion techniques needed to translate a user query by means of multiple sources. Our first informal experiments probe whether, in fact, it is feasible to obtain answers to user queries by composing information across semantic sources and Linked Data, even in its current form, where the strength of Linked Data is more a by-product of its size than its quality. We believe our experiences can be extrapolated to a variety of end-user applications that wish to scale, open up, exploit and re-use what possibly is the greatest wealth of data about everything in the history of Artificial Intelligence.
Original language | English |
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Title of host publication | Knowledge engineering and management by the masses |
Subtitle of host publication | 17th International Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010. Proceedings |
Editors | Philipp Cimiano, H. Sofia Pinto |
Place of Publication | Berlin (DE) |
Publisher | Springer |
Pages | 193-210 |
Number of pages | 18 |
ISBN (Electronic) | 978-3-642-16438-5 |
ISBN (Print) | 978-3-642-16437-8 |
DOIs | |
Publication status | Published - 2010 |
Event | 17th international conference Knowledge Engineering and Knowledge - Lisbon, Portugal Duration: 11 Oct 2010 → 15 Oct 2010 |
Publication series
Name | Lecture notes in computer science |
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Publisher | Springer |
Volume | 6317 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 17th international conference Knowledge Engineering and Knowledge |
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Abbreviated title | EKAW-2010 |
Country/Territory | Portugal |
City | Lisbon |
Period | 11/10/10 → 15/10/10 |
Other | Management by the Masses |
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Dive into the research topics of 'Scaling up question-answering to linked data'. Together they form a unique fingerprint.Activities
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Semantic Search: Ready to use?
Uren, V. (Speaker)
Nov 2011Activity: Talk or presentation types › Invited talk
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Supervising Doctoral Students
Uren, V. (Member)
2002 → 2012Activity: Other activity types › Types of External academic engagement - Research and Teaching at External Organisation