Abstract
Performance on a question answering system is reflected by the number of correct answers that is produce from a list of alternate choices. However, many answers would appear in documents and passages laden with terms from the query. It becomes more difficult and eventually impossible to make a precise answer to a query. The aim of this study is to determine the keyword of the precise answer to a specific query and illustrate the answer in visual expression. In this paper we propose a method to translate text into visual expression, closest to the correct answer. To achieve a significant illustration capability it is necessary to develop methods of dealing with knowledge base. Firstly, we must consider the real world and the visual expression of key information that can be extracted from the words. The proposed system will analyse and match them using visual semantic simplification description based on logical representation.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 58-65 |
| Number of pages | 8 |
| Volume | 5857 LNCS |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 1st International Visual Informatics Conference, IVIC 2009 - Kuala Lumpur Duration: 11 Nov 2009 → 13 Nov 2009 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 5857 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 1st International Visual Informatics Conference, IVIC 2009 |
|---|---|
| City | Kuala Lumpur |
| Period | 11/11/09 → 13/11/09 |
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Keywords
- Logical representation
- Precision answer extraction
- Question answering system
- Visual expression
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Generating 3D visual expression using semantic simplification description based on logical representation. / Rabiah, Abdul Kadir; Sembok, T. M T; Badioze Zaman, Halimah.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5857 LNCS 2009. p. 58-65 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5857 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Generating 3D visual expression using semantic simplification description based on logical representation
AU - Rabiah, Abdul Kadir
AU - Sembok, T. M T
AU - Badioze Zaman, Halimah
PY - 2009
Y1 - 2009
N2 - Performance on a question answering system is reflected by the number of correct answers that is produce from a list of alternate choices. However, many answers would appear in documents and passages laden with terms from the query. It becomes more difficult and eventually impossible to make a precise answer to a query. The aim of this study is to determine the keyword of the precise answer to a specific query and illustrate the answer in visual expression. In this paper we propose a method to translate text into visual expression, closest to the correct answer. To achieve a significant illustration capability it is necessary to develop methods of dealing with knowledge base. Firstly, we must consider the real world and the visual expression of key information that can be extracted from the words. The proposed system will analyse and match them using visual semantic simplification description based on logical representation.
AB - Performance on a question answering system is reflected by the number of correct answers that is produce from a list of alternate choices. However, many answers would appear in documents and passages laden with terms from the query. It becomes more difficult and eventually impossible to make a precise answer to a query. The aim of this study is to determine the keyword of the precise answer to a specific query and illustrate the answer in visual expression. In this paper we propose a method to translate text into visual expression, closest to the correct answer. To achieve a significant illustration capability it is necessary to develop methods of dealing with knowledge base. Firstly, we must consider the real world and the visual expression of key information that can be extracted from the words. The proposed system will analyse and match them using visual semantic simplification description based on logical representation.
KW - Logical representation
KW - Precision answer extraction
KW - Question answering system
KW - Visual expression
UR - http://www.scopus.com/inward/record.url?scp=76549122018&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=76549122018&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-05036-7_7
DO - 10.1007/978-3-642-05036-7_7
M3 - Conference contribution
AN - SCOPUS:76549122018
SN - 3642050352
SN - 9783642050350
VL - 5857 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 58
EP - 65
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -