L. Bölöni and D. Turgut. Partial Merging of Semi-structured Knowledgebases. In Proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems KES 2004, Part II, pp. 1121–1127, Springer, September 2004.
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.
@inproceedings{Boloni-2004-KES,
author = "L. B{\"o}l{\"o}ni and D. Turgut",
title = "Partial Merging of Semi-structured Knowledgebases",
year = "2004",
month = "September",
location = "Wellington, New Zealand",
pages = {1121-1127},
booktitle = {Proceedings of the 8th International Conference on
Knowledge-Based Intelligent Information and Engineering Systems KES 2004, Part II},
editor = {M.Gh. Negoita and
R.J. Howlett and
L.C. Jain},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {3214},
year = {2004},
isbn = {3-540-23206-0},
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. },
}
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