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1860799809552646144
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INTELEK Repository
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Online Access
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https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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2011-12-27 14:04:57
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Restricted Document
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7482
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UniSZA
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[1] B. Velez et al. Fast and effective query refinement, in: Proceeding of the 20th annual international ACM SIGIR Conference on Research Development in Information Retrieval, 1997, pp. 6-15. [2] Carole Goble, Robert Stevens. State of the Nation in Data Integration for Bioinformatics. Journal of Informatics 41(2008), 687 – 693. [3] Eui Kyu Park, Dong Yul Ra, Myung Gil Jang. Techniques for Imrpoving Web Retrieval Effectiveness. Information Processing and Management 41(2005), 1207 – 1233. [4] J.Hartman et. al. Ontology based query refinement for semantic portal, in: integrated publication and information system to virtual information and knowledge environment 2005, 2005, pp. 41-50 [5] Jia Lang Seng, I.L Kong. A Schema and Ontology Aided Intelligent Information Integration. Expert System with Application 36(2009), 10538 – 10550. [6] Jie Cao, Wen Hou, Tingyou Cai. Research of Heterogeneous Database Integration System Based on E�Business, IEEE 2008, 186-189. [7] Jordi Coness, Veda C.Storey, Vijayan Sugumaran. Improving web-query processing through semantic web knowledge. Data & Knowledge Engineering 66 (2008), 18-34. [8] Matthias Butenuth, Guido V. Gosseln, Michael Tiedge, Christian Heipke, Udo Lipeck, Monika Sester. Integration of Heterogeneous Geospatial Data in a Federated Database. Journal of Photogrammetry & Remote Sensing 62(2007), 328 – 346. [9] M. Bright, A. Hurson, S. Pakzad. A taxanomy and current issues in multidatabase system, IEEE Computer 25(3) (1992), 50-60. [10] Mostafa E.Saleh. Semantic-Based Query in Relational Database Using Ontology, Canadian Journal on Data, Information and Knowledge Engineering, Vol. 2, No 1, January 2011, pp: 1-16. [11] Samuel Robert Collins, Shamkant Navathe, Leo Mark. XML schema mapping for heteregeneous database access. Information and Software Technology 44(2002), 251-257. [12] Shi Ming Huang, Tung-Hsiang Chou, Jia-Lang Seng. Data warehouse enhancement: A semantic cube model approach. Information Science 177 (2007), 2238 – 2254. [13] Timothy J. Miles-Board. Everything Integrated: A Framework for Associative Writing in the Web”, February 2004, University of Southampton [14] Walter Sujansky. Heterogeneous Database Integration in Biomedicine. Journal of Biomedical Informatics 34(2001), 285 – 298. [15] Mohd Kamir Yusof, Ahmad Faisal Amri Abidin, Sufian Mat Deris and Surayati Usop. Implementing of XML and Intelligent Algorithm for Imrpoving Web Query Processing in Heterogeneous Database Access. International Journal of Database Theory and Application, Vol 4, No 2, June 2011.
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2963-01-FH02-FIK-14-00444.pdf
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oai_dc
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7482 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=7482 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal application/pdf 12 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in SERSC 2011-12-27 14:04:57 2963-01-FH02-FIK-14-00444.pdf UniSZA Private Access Ontology and semantic web approaches for heterogeneous database access International Journal of Database Theory and Application This paper presents about implementation of ontology and semantic approaches for accessing data from heterogeneous database. The purpose of this implementation is to retrieve relevant data and give relevant information to web users. The process of ontology and semantic are related. Two major processes in ontology are semantic mapping and extracting wrapper ontology. The main process for semantic web is to manipulate data into meaningful information. In this research, simple application was develop by using JAVA technology. JAVA technology was chosen because this technology have Jena library. This library is provide API and support SPARQL. After that, several experiments were done, and the results indicate implementation of ontology and semantic web approaches able to show relevant information to web users. 4 4 13-23 [1] B. Velez et al. Fast and effective query refinement, in: Proceeding of the 20th annual international ACM SIGIR Conference on Research Development in Information Retrieval, 1997, pp. 6-15. [2] Carole Goble, Robert Stevens. State of the Nation in Data Integration for Bioinformatics. Journal of Informatics 41(2008), 687 – 693. [3] Eui Kyu Park, Dong Yul Ra, Myung Gil Jang. Techniques for Imrpoving Web Retrieval Effectiveness. Information Processing and Management 41(2005), 1207 – 1233. [4] J.Hartman et. al. Ontology based query refinement for semantic portal, in: integrated publication and information system to virtual information and knowledge environment 2005, 2005, pp. 41-50 [5] Jia Lang Seng, I.L Kong. A Schema and Ontology Aided Intelligent Information Integration. Expert System with Application 36(2009), 10538 – 10550. [6] Jie Cao, Wen Hou, Tingyou Cai. Research of Heterogeneous Database Integration System Based on E�Business, IEEE 2008, 186-189. [7] Jordi Coness, Veda C.Storey, Vijayan Sugumaran. Improving web-query processing through semantic web knowledge. Data & Knowledge Engineering 66 (2008), 18-34. [8] Matthias Butenuth, Guido V. Gosseln, Michael Tiedge, Christian Heipke, Udo Lipeck, Monika Sester. Integration of Heterogeneous Geospatial Data in a Federated Database. Journal of Photogrammetry & Remote Sensing 62(2007), 328 – 346. [9] M. Bright, A. Hurson, S. Pakzad. A taxanomy and current issues in multidatabase system, IEEE Computer 25(3) (1992), 50-60. [10] Mostafa E.Saleh. Semantic-Based Query in Relational Database Using Ontology, Canadian Journal on Data, Information and Knowledge Engineering, Vol. 2, No 1, January 2011, pp: 1-16. [11] Samuel Robert Collins, Shamkant Navathe, Leo Mark. XML schema mapping for heteregeneous database access. Information and Software Technology 44(2002), 251-257. [12] Shi Ming Huang, Tung-Hsiang Chou, Jia-Lang Seng. Data warehouse enhancement: A semantic cube model approach. Information Science 177 (2007), 2238 – 2254. [13] Timothy J. Miles-Board. Everything Integrated: A Framework for Associative Writing in the Web”, February 2004, University of Southampton [14] Walter Sujansky. Heterogeneous Database Integration in Biomedicine. Journal of Biomedical Informatics 34(2001), 285 – 298. [15] Mohd Kamir Yusof, Ahmad Faisal Amri Abidin, Sufian Mat Deris and Surayati Usop. Implementing of XML and Intelligent Algorithm for Imrpoving Web Query Processing in Heterogeneous Database Access. International Journal of Database Theory and Application, Vol 4, No 2, June 2011.
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| spellingShingle |
Ontology and semantic web approaches for heterogeneous database access
|
| summary |
This paper presents about implementation of ontology and semantic approaches for accessing data from heterogeneous database. The purpose of this implementation is to retrieve relevant data and give relevant information to web users. The process of ontology and semantic are related. Two major processes in ontology are semantic mapping and extracting wrapper ontology. The main process for semantic web is to manipulate data into meaningful information. In this research, simple application was develop by using JAVA technology. JAVA technology was chosen because this technology have Jena library. This library is provide API and support SPARQL. After that, several experiments were done, and the results indicate implementation of ontology and semantic web approaches able to show relevant information to web users.
|
| title |
Ontology and semantic web approaches for heterogeneous database access
|
| title_full |
Ontology and semantic web approaches for heterogeneous database access
|
| title_fullStr |
Ontology and semantic web approaches for heterogeneous database access
|
| title_full_unstemmed |
Ontology and semantic web approaches for heterogeneous database access
|
| title_short |
Ontology and semantic web approaches for heterogeneous database access
|
| title_sort |
ontology and semantic web approaches for heterogeneous database access
|