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IJSTR >> Volume 3- Issue 11, November 2014 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Mapping Between RDBMS And Ontology: A Review

[Full Text]



Vishal Jain, Dr. S. V. A. V. Prasad



Index Terms: WWW, Semantic Web, Ontology, Ontology Mapping, OWL, RDBMS



Abstract: Today Semantic web is playing a key role in the intelligent retrieval of information. It is the new-generation Web that tries to represent information such that it can be used by machines not just for display purposes, but for automation, integration, and reuse across applications. It allows the representation and exchange of information in a meaningful way. Ontologies form the backbone of the Semantic Web; they allow machine understanding of information through the links between the information resources and the terms in the ontologies. Ontology describes basic concepts in a domain and defines relations among them. An ontology together with a set of individual instances of classes constitutes a knowledge base. An effort has been made by the Semantic Web community to apply its semantic techniques in open, distributed and heterogeneous Web environments, and for sharing the knowledge in the semantic web. For sharing the knowledge ontologies were introduced, and have grown considerably in number. Building ontology for a specific domain may be start from scratch or by modifying or using an existing ontology. The term Semantic Web (SW) given by Tim Berners Lee is considered as vast concept within itself. Semantic Web (SW) is defined as collection of information linked in a way so that it can be easily processed by machines. It is information in machine form. It contains Semantic Web Documents (SWD’s) that are written in RDF or OWL languages. They contain relevant information regarding user’s query. Crawlers play vital role in accessing information from SWD’s.



[1]. Sakthi Murugan R, P. Shanthi Bala and Dr. G. Aghila, “ Ontology Based Information Retrieval - An Analysis”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 10, October 2013, page no. 486 to 493.

[2]. Swathi Rajasurya , Tamizhamudhu Muralidharan , Sandhiya Devi and Dr. S. Swamynathan, “Semantic Information Retrieval Using Ontology In University Domain”, International Journal of Web & Semantic Technology (IJWesT), Taiwan, Vol.3, No.4, October 2012.

[3]. Zhanjun Li, Victor Raskin and Karthik Ramani, A Methodology Of Engineering Ontology Development For Information Retrieval”, International Conference On Engineering Design, ICED’07, 28 - 31 August 2007, Cite Des Sciences Et De L'industrie, Paris, France.

[4]. Dongpo Deng, “Building Ontology of Place Name for Spatial Information Retrieval”, http://www.gisdevelopment.net/technology/gis/ma07259pf.html

[5]. Christopher S.G. Khoo, Jin-Cheon Na, Vivian Wei Wang, and Syin Chan, “Developing an Ontology for Encoding Disease Treatment Information in Medical Abstracts”, DESIDOC Journal of Library & Information Technology, Vol. 31, No. 2, March 2011, pp. 103-115.

[6]. Valentina Cordi, Viviana Mascardi, Maurizio Martelli, Leon Sterling, “Developing an Ontology for the Retrievalof XML Documents: A Comparative Evaluation of Existing Methodologies”,

[7]. Naveen Malviya, Nishchol Mishra, Santosh Sahu, “Developing University Ontology using protégé OWL Tool: Process and Reasoning”, International Journal of Scientific & Engineering Research Volume 2, Issue 9, September-2011.

[8]. Lakshmi Palaniappan, N. Sambasiva Rao, G. V. Uma, “Development of Dining Ontology Based On Image Retrieval”, International Journal of Scientific Engineering and Technology (ISSN : 2277-1581), Volume No.2, Issue No.6, pp : 560-566

[9]. Norasykin Mohd Zaid and Sim Kim Lau, “Development of OntologyInformation Retrieval System for Novice Researchers in Malaysia”, IBIMA Publishingn Journal of Software and Systems Development, Vol. 2011 (2011), Article ID 611355, 11 pagesDOI: 10.5171/2011.611355 ttp://www.ibimapublishing.com/journals/JSSD/jssd.html

[10]. Sanjay K. Dwivedi and Anand Kumar, “Development of University Ontology for a SPOCMS”, Journal Of Emerging Technologies In Web Intelligence, Vol. 5, No. 3, August 2013, Page no 213-221.

[11]. Michael Wick, Khashayar Rohanimanesh, Andrew McCallum, AnHai Doan, “A Discriminative Approach to Ontology Mapping” VLDB ‘08, August 2430, 2008, Auckland, New Zealand.

[12]. Yuan An, Alex Borgida and John Mylopoulos, “Building Semantic Mappings from Databases to Ontologies”, American Association for Artificial Intelligence, Year 2006.

[13]. Raji Ghawi and Nadine Cullot, “Database-to-Ontology Mapping Generation for Semantic Interoperability”, VLDB ’07, September 23-28, 2007, Vienna, Austria.

[14]. Nadine Cullot, Raji Ghawi, and Kokou Yétongnon, " DB2OWL: A Tool for Automatic Database-to-Ontology Mapping”, Laboratoire LE2I, Université de Bourgogne, Dijon, FRANCE

[15]. 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

[16]. Wei Hu and Yuzhong Qu, “Discovering Simple Mappings Between Relational Database Schemas and Ontologies”, School of Computer Science and Engineering, Southeast University, Nanjing 210096, P.R. China

[17]. Man Li, Xiao-Yong Du, Shan Wang, “Learning Ontology from Relational Database”, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005.

[18]. Guntars Bumans, “Mapping between Relational Databases and OWL Ontologies: an Example”, Scientific Papers, University of Latvia , Computer Science and Information Technologies, 2010. Vol. 756.

[19]. Noreddine Gherabi, Khaoula Addakiri, “Mapping Relational Database into OWL Structure with Data Semantic Preservation”, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 10, No. 1, January 2012.

[20]. Fuad Mire Hassan, Imran Ghani, Muhammad Faheem, Abdirahman Ali Hajji “ Ontology Matching Approaches for eRecruitment”, International Journal of Computer Applications (0975 – 8887), Volume 51– No.2, August 2012.

[21]. Marc Ehrig and Steffen Staab, “QOM - Quick Ontology Mapping”, Institute AIFB, University of Karlsruhe.

[22]. Jesús Barrasa, Óscar Corcho, Asunción Gómez-Pérez, “R2O, an Extensible and Semantically Based Databaseto-ontology Mapping Language”, Ontology Engineering Group, Departamento de Inteligencia Artificial, Facultad de Informática, Universidad Politécnica de Madrid, Spain

[23]. Michal Laclavık, “RDB2Onto: Relational Database Data to Ontology Individuals Mapping”, Institute of Informatics, Slovak Academy of Sciences, D´ubravsk´a cesta 9, 845 07 Bratislava, Slovakia.

[24]. Carlos Eduardo Pires, Damires Souza, Thiago Pachêco, Ana Carolina Salgado, “SemMatcher: A Tool for Matching Ontology-based Schemas”.

[25]. Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos, Michael Chalas, Emmanuel Solidakis and Nikolas Mitrou, “VisAVis: An Approach to an Intermediate Layer between Ontologies and Relational Database Contents References”, Web Information Systems Modeling, Page no. 1050-1062.