Title

Partial Merging Of Semi-Structured Knowledgebases

Abstract

Automatizing the merging of knowledgebases is an important step towards more efficient knowledge management. The cases when two knowledgebases need to be merged completely into a monolithic result, however, are relatively rare. Most often, some of the information is irrelevant, not trusted, or needs special treatment as a belief, opinion or preference. This paper presents an approach for partial merging of semi-structured knowledgebases. The merging scheme is based on the partitioning of the knowledgebases through the use of swimlines and the application of specific primitive merging algorithms in the partitions thus created. This approach allows the participants of the merging operation to specify their intentions in the merging process in an efficient and intuitive way. © Springer-Verlag 2004.

Publication Date

1-1-2004

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

3214

Number of Pages

1121-1127

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-540-30133-2_149

Socpus ID

35048864423 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/35048864423

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