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Do we need the closed-world assumption in knowledge representation?

MPG-Autoren
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Hustadt,  Ullrich
Programming Logics, MPI for Informatics, Max Planck Society;

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Zitation

Hustadt, U. (1994). Do we need the closed-world assumption in knowledge representation? In F. Baader, M. Buchheit, M. A. Jeusfeld, & W. Nutt (Eds.), Reasoning about Structured Objects: Knowledge Representation Meets Databases (KRDB '94) (pp. 24-26). Aachen, Germany: CEUR.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0014-AD75-4
Zusammenfassung
In this paper I want to focus on some principal differences between data models of database systems and knowledge representation languages. The data manipulation languages of data models are based on the closed-world, unique-name, and domain-closure assumption. Data manipulation languages and query languages of knowledge representation formalisms differ considerably in their underlying assumptions. They are based on the open-world, unique-name, and open-domain assumption. That means, that even if the data definition language and the data manipulation language of a database management system and a knowledge base management system would coincide, the results of data manipulations would differ. I present some examples that show the usefulness of closed-world inferences in natural language processing. Thus knowledge representation languages sticking to the open-world assumption seem to be insufficient for natural language processing.