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Title:
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TOWARD A SEMANTIC DATA RETRIEVAL IN DISTRUIBUTED RELATIONAL DATABASE |
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Author(s):
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A.chella , M.liotta , N.ingraffia , G.pilato , G.vassallo |
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ISBN:
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978-972-8924-40-9 |
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Editors:
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Jörg Roth, Jairo Gutiérrez and Ajith P. Abraham (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen) |
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Year:
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2007 |
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Edition:
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Single |
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Keywords:
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Latent Semantic Analysis, retrieval on database. |
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Type:
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Full Paper |
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First Page:
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33 |
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Last Page:
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41 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Given the growing use and complexity of databases, a fine data retrieval is necessary. Current databases languages rely
on rigid linguistic rules based on hard links among data. In this work, LSA (Latent Semantic Analysis), a deeply
investigated method for intelligent information retrieval of unstructured data, is applied to structured data in databases.
This paper introduces a data retrieval approach based on subsymbolic and algebraic techniques, that uses also soft
relationships among data to retrieve not only results obtained by a traditional SQL query but also results semantically
similar to them: in this sense, it opens a way toward a semantic SQL. A first step toward the extension on distributed data
on peer to peer network is also introduced. |
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