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Skolem preprocessing using WordNet and lexicon in building effective knowledge representation

We are in the information intensive environment in which various forms of digital contents have been growing exponentially. In this era of digital data, knowledge representation has been considered as a crucial component of any information retrieval system. It is also considered as a major problem e...

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Main Authors: Varathan, Kasturi Dewi, Tengku Sembok, Tengku Mohd, Abdul Kadir, Rabiah, Omar, Nazlia
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
Online Access:http://psasir.upm.edu.my/id/eprint/69502/1/Skolem%20preprocessing%20using%20WordNet%20and%20lexicon%20in%20building%20effective%20knowledge%20representation.pdf
http://psasir.upm.edu.my/id/eprint/69502/
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spelling my.upm.eprints.695022019-07-04T04:45:41Z http://psasir.upm.edu.my/id/eprint/69502/ Skolem preprocessing using WordNet and lexicon in building effective knowledge representation Varathan, Kasturi Dewi Tengku Sembok, Tengku Mohd Abdul Kadir, Rabiah Omar, Nazlia We are in the information intensive environment in which various forms of digital contents have been growing exponentially. In this era of digital data, knowledge representation has been considered as a crucial component of any information retrieval system. It is also considered as a major problem especially in representing the content of unstructured text in an effective way. Although the mission remains impossible to achieve 100% accuracy, many researchers are indulging themselves in documenting these data in many different techniques so that it can be communicated effectively and easily. Indexing is an important element that determines the success of retrieval. Since we are dealing with multiple documents, preprocessing of data is needed before the data gets indexed. Thus, this paper presents an approach on the preprocessing technique. The semantic data which have been represented in skolem clauses will be preprocessed with the help of automatic lexicon generator output and WordNet. This preprocessing plays an important role in getting rid of redundant data before it gets indexed into the semantic matrix. Besides redundancy, it also helps in dealing with common problem that exists in indexing multiple documents in which similar sentences with more or less the same meaning but have been constructed by using different sets of words. As a conclusion, the integration of WordNet and lexicon leads to better result in terms of building effective knowledge representation. IEEE 2011 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69502/1/Skolem%20preprocessing%20using%20WordNet%20and%20lexicon%20in%20building%20effective%20knowledge%20representation.pdf Varathan, Kasturi Dewi and Tengku Sembok, Tengku Mohd and Abdul Kadir, Rabiah and Omar, Nazlia (2011) Skolem preprocessing using WordNet and lexicon in building effective knowledge representation. In: International Conference on Electrical Engineering and Informatics (ICEEI 2011), 17-19 July 2011, Bandung, Indonesia. . 10.1109/ICEEI.2011.6021760
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description We are in the information intensive environment in which various forms of digital contents have been growing exponentially. In this era of digital data, knowledge representation has been considered as a crucial component of any information retrieval system. It is also considered as a major problem especially in representing the content of unstructured text in an effective way. Although the mission remains impossible to achieve 100% accuracy, many researchers are indulging themselves in documenting these data in many different techniques so that it can be communicated effectively and easily. Indexing is an important element that determines the success of retrieval. Since we are dealing with multiple documents, preprocessing of data is needed before the data gets indexed. Thus, this paper presents an approach on the preprocessing technique. The semantic data which have been represented in skolem clauses will be preprocessed with the help of automatic lexicon generator output and WordNet. This preprocessing plays an important role in getting rid of redundant data before it gets indexed into the semantic matrix. Besides redundancy, it also helps in dealing with common problem that exists in indexing multiple documents in which similar sentences with more or less the same meaning but have been constructed by using different sets of words. As a conclusion, the integration of WordNet and lexicon leads to better result in terms of building effective knowledge representation.
format Conference or Workshop Item
author Varathan, Kasturi Dewi
Tengku Sembok, Tengku Mohd
Abdul Kadir, Rabiah
Omar, Nazlia
spellingShingle Varathan, Kasturi Dewi
Tengku Sembok, Tengku Mohd
Abdul Kadir, Rabiah
Omar, Nazlia
Skolem preprocessing using WordNet and lexicon in building effective knowledge representation
author_facet Varathan, Kasturi Dewi
Tengku Sembok, Tengku Mohd
Abdul Kadir, Rabiah
Omar, Nazlia
author_sort Varathan, Kasturi Dewi
title Skolem preprocessing using WordNet and lexicon in building effective knowledge representation
title_short Skolem preprocessing using WordNet and lexicon in building effective knowledge representation
title_full Skolem preprocessing using WordNet and lexicon in building effective knowledge representation
title_fullStr Skolem preprocessing using WordNet and lexicon in building effective knowledge representation
title_full_unstemmed Skolem preprocessing using WordNet and lexicon in building effective knowledge representation
title_sort skolem preprocessing using wordnet and lexicon in building effective knowledge representation
publisher IEEE
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/69502/1/Skolem%20preprocessing%20using%20WordNet%20and%20lexicon%20in%20building%20effective%20knowledge%20representation.pdf
http://psasir.upm.edu.my/id/eprint/69502/
_version_ 1643839510073573376
score 13.211869

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