Abstract
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.
Original language | English |
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Title of host publication | 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 |
Pages | 53-56 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2011 |
Event | 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 - Putrajaya Duration: 28 Jun 2011 → 29 Jun 2011 |
Other
Other | 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011 |
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City | Putrajaya |
Period | 28/6/11 → 29/6/11 |
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Keywords
- indexing
- question answering
- semantic matrix
- semantic retrieval
- skolem clauses
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Information Systems
Cite this
Retrieving answers from multiple documents using semantic skolem indexing. / Varathan, Kasturi Dewi; Sembok, Tengku Mohd Tengku; Omar, Nazlia; Rabiah, Abdul Kadir.
2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011. 2011. p. 53-56 5995764.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Retrieving answers from multiple documents using semantic skolem indexing
AU - Varathan, Kasturi Dewi
AU - Sembok, Tengku Mohd Tengku
AU - Omar, Nazlia
AU - Rabiah, Abdul Kadir
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - indexing
KW - question answering
KW - semantic matrix
KW - semantic retrieval
KW - skolem clauses
UR - http://www.scopus.com/inward/record.url?scp=80052603226&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052603226&partnerID=8YFLogxK
U2 - 10.1109/STAIR.2011.5995764
DO - 10.1109/STAIR.2011.5995764
M3 - Conference contribution
AN - SCOPUS:80052603226
SN - 9781612843537
SP - 53
EP - 56
BT - 2011 International Conference on Semantic Technology and Information Retrieval, STAIR 2011
ER -