Abstract
In the process of knowledge acquisition it is often necessary to solve the problem of ambiguous entities. The problem occurs when the same names refer to different entities in the knowledge database. We propose a method for resolving some of the ambiguities by means of the constraint calculus, namely RCC-5. We discuss the properties of our algorithm. Then we show that the algorithm can be extended to handle other types of relations. By applying a disambiguation algorithm in the process of knowledge acquisition we are able to increase the quality of the knowledge database acquired from the variety of data resources. The database is used in the prototype of our QA system, Hipisek [11].
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Notes
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- 4.
The parameter \(\epsilon \) is used to set a level of tolerance when comparing two values.
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\(ONE'\) is the short form of: \(\{EC, PO, TPP, NTPP, TPPI , NTPPI\}\). The name refers to the RCC3 relation \(ONE\).
- 6.
Remark that the precise meaning of approximate relation is: approximate or equal.
- 7.
Hence if the source contains value for the quantitative relation, which is already stored in the knowledge database, the new value is used only for disambiguation.
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Walas, M., Jassem, K. (2014). An Algorithm for Inconsistency Management in Spatial Knowledge Integration. In: Vetulani, Z., Mariani, J. (eds) Human Language Technology Challenges for Computer Science and Linguistics. LTC 2011. Lecture Notes in Computer Science(), vol 8387. Springer, Cham. https://doi.org/10.1007/978-3-319-08958-4_12
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