Work Out the Semantic Web Search: The Cooperative Way. (2nd August 2012)
- Record Type:
- Journal Article
- Title:
- Work Out the Semantic Web Search: The Cooperative Way. (2nd August 2012)
- Main Title:
- Work Out the Semantic Web Search: The Cooperative Way
- Authors:
- Melo, Dora
Rodrigues, Irene Pimenta
Nogueira, Vitor Beires - Other Names:
- Stanojević Mladen Academic Editor.
- Abstract:
- Abstract : We propose a Cooperative Question Answering System that takes as input natural language queries and is able to return a cooperative answer based on semantic web resources, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answers and is independent of prior knowledge of the semantic resources by the user. The natural language question is translated into its semantic representation and then answered by consulting the semantics sources of information. The system is able to clarify the problems of ambiguity and helps finding the path to the correct answer. If there are multiple answers to the question posed (or to the similar questions for which DBpedia contains answers), they will be grouped according to their semantic meaning, providing a more cooperative and clarified answer to the user.
- Is Part Of:
- Advances in artificial intelligence. Volume 2012(2012)
- Journal:
- Advances in artificial intelligence
- Issue:
- Volume 2012(2012)
- Issue Display:
- Volume 2012, Issue 2012 (2012)
- Year:
- 2012
- Volume:
- 2012
- Issue:
- 2012
- Issue Sort Value:
- 2012-2012-2012-0000
- Page Start:
- Page End:
- Publication Date:
- 2012-08-02
- Subjects:
- Artificial intelligence -- Periodicals
Artificial intelligence
Periodicals
Electronic journals
006.3 - Journal URLs:
- https://www.hindawi.com/journals/aai/ ↗
- DOI:
- 10.1155/2012/867831 ↗
- Languages:
- English
- ISSNs:
- 1687-7470
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 16115.xml