Cover Image

Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi

Information Extraction is a process that extracts information from existing system source and stores into a database. Previous researchers had focus on information extraction for HTML data using wrapper approach. The drawback from this approach is resiliency where wrapper fails to function when the...

Full description

Saved in:
Bibliographic Details
Main Author: Abd. Hamid, Ahmad Ghadaffi
Format: Thesis
Language:English
Published: 2005
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/2943/1/AhmadGhadaffiAbdHamidMFC2005.pdf
http://eprints.utm.my/id/eprint/2943/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.2943
record_format eprints
spelling my.utm.29432018-06-25T00:42:55Z http://eprints.utm.my/id/eprint/2943/ Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi Abd. Hamid, Ahmad Ghadaffi QA75 Electronic computers. Computer science Information Extraction is a process that extracts information from existing system source and stores into a database. Previous researchers had focus on information extraction for HTML data using wrapper approach. The drawback from this approach is resiliency where wrapper fails to function when the file of interest’s structure changes. Ontology based information extraction is an alternative solution for this problem. In this research, ontology based information extraction used hydrological data from Jabatan Pengairan dan Saliran (JPS) as the case study. Ontology based information extraction for hydrology domain or also known as ‘EkstrakPro’ is divided into three main processes; which are ontology parser process, keyword and sequences recognition process, and a data mapping process. ‘EkstrakPro’ used two inputs; the hydrology data and ontology extraction. An important feature in ‘EkstrakPro’ is that ontology extraction, where unit object is introduced to simplify the ontology maintenance. The sequential recognition algorithm is to solve the time consuming issues for extracting sequential data. Five types of hydrological data are used in the experiment. These data are divided into three categories; (i) original data taken from gauging machine, (ii) the altered data and (iii) the different sizes of data. Based on these categories, the information extraction resiliency and time taken have been measured using a precise equation and O-notation. The results show that prototype ‘EkstrakPro’ can extract different structure hydrology data correctly by using only one algorithm. Using sequential recognition algorithm can also further reduce the time required for extraction of information. The result of the research proves that information extraction can be solved using ontology approach 2005-12 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/2943/1/AhmadGhadaffiAbdHamidMFC2005.pdf Abd. Hamid, Ahmad Ghadaffi (2005) Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Abd. Hamid, Ahmad Ghadaffi
Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi
description Information Extraction is a process that extracts information from existing system source and stores into a database. Previous researchers had focus on information extraction for HTML data using wrapper approach. The drawback from this approach is resiliency where wrapper fails to function when the file of interest’s structure changes. Ontology based information extraction is an alternative solution for this problem. In this research, ontology based information extraction used hydrological data from Jabatan Pengairan dan Saliran (JPS) as the case study. Ontology based information extraction for hydrology domain or also known as ‘EkstrakPro’ is divided into three main processes; which are ontology parser process, keyword and sequences recognition process, and a data mapping process. ‘EkstrakPro’ used two inputs; the hydrology data and ontology extraction. An important feature in ‘EkstrakPro’ is that ontology extraction, where unit object is introduced to simplify the ontology maintenance. The sequential recognition algorithm is to solve the time consuming issues for extracting sequential data. Five types of hydrological data are used in the experiment. These data are divided into three categories; (i) original data taken from gauging machine, (ii) the altered data and (iii) the different sizes of data. Based on these categories, the information extraction resiliency and time taken have been measured using a precise equation and O-notation. The results show that prototype ‘EkstrakPro’ can extract different structure hydrology data correctly by using only one algorithm. Using sequential recognition algorithm can also further reduce the time required for extraction of information. The result of the research proves that information extraction can be solved using ontology approach
format Thesis
author Abd. Hamid, Ahmad Ghadaffi
author_facet Abd. Hamid, Ahmad Ghadaffi
author_sort Abd. Hamid, Ahmad Ghadaffi
title Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi
title_short Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi
title_full Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi
title_fullStr Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi
title_full_unstemmed Pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi
title_sort pengekstrakan data berasaskan pendekatan ontologi: kes data jujukan hidrologi
publishDate 2005
url http://eprints.utm.my/id/eprint/2943/1/AhmadGhadaffiAbdHamidMFC2005.pdf
http://eprints.utm.my/id/eprint/2943/
_version_ 1643643696886841344
score 13.211869

Similar Items