Lattice Based Data Access (LBDA): An Approach for Organizing and Accessing Linked Open Data in Biology

Mehwish Alam 1 Melisachew Wudage Chekol 1 Adrien Coulet 1 Amedeo Napoli 1 Malika Smaïl-Tabbone 1
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : In the recent years, web has turned into a ''Web of Data'' with a significant increase in the number of users looking for direct access to the data embedded in web pages. At the same time, a large amount of Linked Open Data (LOD) is available on line which allows effective exploration and navigation. However, there are still needs to bridge the gap between different data sources and formats, for improving data analysis, data integration and information retrieval. This paper focuses on Lattice Based Data Access (LBDA), a framework following the lines of Ontology Based Data Access (OBDA) and which is based on Formal Concept Analysis (FCA) and Relational Concept Analysis (RCA). In this way, operations such as query answering on data are carried out on concept lattices which are acting a representation and an indexing of data. The LBDA framework provides a view over LOD with reference to data and constraints provided by a user, and it helps in information retrieval and knowledge discovery thanks to FCA and RCA.
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Mehwish Alam, Melisachew Wudage Chekol, Adrien Coulet, Amedeo Napoli, Malika Smaïl-Tabbone. Lattice Based Data Access (LBDA): An Approach for Organizing and Accessing Linked Open Data in Biology. DMoLD'13 - Data Mining on Linked Data Workshop (ECML/PKDD, 2013), Sep 2013, Prague, Czech Republic. ⟨hal-00903450⟩

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