Retrieving answers from multiple documents using semantic skolem indexing

The representation of document content is very important factors in retrieval process. The failure to create a good knowledge representation will definitely lead to failure in terms of its retrieval no matter how good the retrieval engine is. Therefore, this research focused on creating a reliable k...

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Main Authors: Varathan, Kasturi Dewi, Tengku Sembok, Tengku Mohd, Omar, Nazlia, Abdul Kadir, Rabiah
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
Online Access:http://psasir.upm.edu.my/id/eprint/69503/
http://psasir.upm.edu.my/id/eprint/69503/1/Retrieving%20answers%20from%20multiple%20documents%20using%20semantic%20skolem%20indexing.pdf
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author Varathan, Kasturi Dewi
Tengku Sembok, Tengku Mohd
Omar, Nazlia
Abdul Kadir, Rabiah
author_facet Varathan, Kasturi Dewi
Tengku Sembok, Tengku Mohd
Omar, Nazlia
Abdul Kadir, Rabiah
author_sort Varathan, Kasturi Dewi
building UPM Institutional Repository
collection Online Access
description The representation of document content is very important factors in retrieval process. The failure to create a good knowledge representation will definitely lead to failure in terms of its retrieval no matter how good the retrieval engine is. Therefore, this research focused on creating a reliable knowledge representation for our retrieval engine. We are using skolem to capture the information conveyed by multiple text documents and used skolem as an index language. This research also focuses on utilizing the skolem index as its knowledge representation in its question answering system. The system is capable of retrieving the answer as well as states the exact document in which the answer is derived from.
first_indexed 2025-11-15T11:41:28Z
format Conference or Workshop Item
id upm-69503
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T11:41:28Z
publishDate 2011
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling upm-695032019-07-04T04:45:46Z http://psasir.upm.edu.my/id/eprint/69503/ Retrieving answers from multiple documents using semantic skolem indexing Varathan, Kasturi Dewi Tengku Sembok, Tengku Mohd Omar, Nazlia Abdul Kadir, Rabiah The representation of document content is very important factors in retrieval process. The failure to create a good knowledge representation will definitely lead to failure in terms of its retrieval no matter how good the retrieval engine is. Therefore, this research focused on creating a reliable knowledge representation for our retrieval engine. We are using skolem to capture the information conveyed by multiple text documents and used skolem as an index language. This research also focuses on utilizing the skolem index as its knowledge representation in its question answering system. The system is capable of retrieving the answer as well as states the exact document in which the answer is derived from. IEEE 2011 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69503/1/Retrieving%20answers%20from%20multiple%20documents%20using%20semantic%20skolem%20indexing.pdf Varathan, Kasturi Dewi and Tengku Sembok, Tengku Mohd and Omar, Nazlia and Abdul Kadir, Rabiah (2011) Retrieving answers from multiple documents using semantic skolem indexing. In: 2011 International Conference on Semantic Technology and Information Retrieval (STAIR'11), 28-29 June 2011, Putrajaya, Malaysia. (pp. 53-56). 10.1109/STAIR.2011.5995764
spellingShingle Varathan, Kasturi Dewi
Tengku Sembok, Tengku Mohd
Omar, Nazlia
Abdul Kadir, Rabiah
Retrieving answers from multiple documents using semantic skolem indexing
title Retrieving answers from multiple documents using semantic skolem indexing
title_full Retrieving answers from multiple documents using semantic skolem indexing
title_fullStr Retrieving answers from multiple documents using semantic skolem indexing
title_full_unstemmed Retrieving answers from multiple documents using semantic skolem indexing
title_short Retrieving answers from multiple documents using semantic skolem indexing
title_sort retrieving answers from multiple documents using semantic skolem indexing
url http://psasir.upm.edu.my/id/eprint/69503/
http://psasir.upm.edu.my/id/eprint/69503/
http://psasir.upm.edu.my/id/eprint/69503/1/Retrieving%20answers%20from%20multiple%20documents%20using%20semantic%20skolem%20indexing.pdf