Full Citation

Title: MayBMS: A Possible Worlds Base Management System

Citation Type: Miscellaneous

Publication Year: 2006

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Abstract: Incomplete information is frequent in real-world applications. This is often the case in data integration scenarios, in scientific data collections, or whenever the information is acquired using human interaction and is erroneous or imperfect. The different interpretations of incomplete information yield different possible worlds. A system for managing incomplete data faces the challenge of being able to represent large sets of possible worlds compactly, while at the same time supporting efficient processing of the data. Nevertheless, there has been little research so far into expressive yet scalable systems for managing incomplete information. Most current representation models have at least one of two flaws; some of them (such as or-set relations and v-tables) are not strong enough to represent query answers within the same formalism...

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Authors: Koch, Christoph; Olteanu, Dan; Antova, Lyublena

Publisher: Cornell University

Data Collections: IPUMS USA

Topics: Methodology and Data Collection

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