Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41299
Title: Reasoning about ORA-SS data models using the semantic web
Authors: Li, Y.F. 
Sun, J.
Dobbie, G.
Wang, H.H.
Sun, J. 
Keywords: Formal verification
Ontology web language
ORA-SS
Semantic web
Semistructured data
Issue Date: 2006
Source: Li, Y.F.,Sun, J.,Dobbie, G.,Wang, H.H.,Sun, J. (2006). Reasoning about ORA-SS data models using the semantic web. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4244 LNCS : 219-241. ScholarBank@NUS Repository.
Abstract: There has been a rapid growth in the use of semistructured data in both web applications and database systems. Consequently, the design of a good semistructured data model is essential. In the relational database community, algorithms have been defined to transform a relational schema from one normal form to a more suitable normal form. These algorithms have been shown to preserve certain semantics during the transformation. The work presented in this paper is the first step towards representing such algorithms for semistructured data, namely formally defining the semantics necessary for achieving this goal. Formal semantics and automated reasoning tools enable us to reveal the inconsistencies in a semistructured data model and its instances. The Object Relationship Attribute model for Semistructured data (ORA-SS) is a graphical notation for designing and representing semistructured data. This paper presents a methodology of encoding the semantics of the ORA-SS notation into the Web Ontology Language (OWL) and automatically verifying the semistructured data design using the OWL reasoning tools. Our methodology provides automated consistency checking of an ORA-SS data model at both the schema and instance levels. © Springer-Verlag Berlin Heidelberg 2006.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41299
ISBN: 3540463291
ISSN: 03029743
Appears in Collections:Staff Publications

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