MAPSOM: User Involvement in Ontology Matching

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00218711" target="_blank" >RIV/68407700:21230/13:00218711 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-06826-8_26" target="_blank" >http://dx.doi.org/10.1007/978-3-319-06826-8_26</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-06826-8_26" target="_blank" >10.1007/978-3-319-06826-8_26</a>

Result language
angličtina
Original language name
MAPSOM: User Involvement in Ontology Matching
Original language description
This paper presents a semi-automatic similarity aggregating system for ontology matching problem. The system consists of two main parts. The first part is aggregation of similarity measures with the help of self-organizing map. The second part incorporates user feedback for refining self-organizing map outcomes. The system calculates different similarity measures (e.g., string-based similarity measure, WordNet-based similarity measure...) to cover different causes of semantic heterogeneity. The next step is similarity aggregation by means of the self-organizing map and the ward clustering. The final step is the active learning phase for results tuning. We implemented this idea as MAPSOM framework. Our experimental results show that MAPSOM framework canbe used for problems where the highest precision is needed.
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Sementic Technology - Third Joint International Conference
ISBN
978-3-319-06825-1
ISSN
0302-9743
e-ISSN
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Number of pages
16
Pages from-to
348-363
Publisher name
Springer
Place of publication
Heidelberg
Event location
Soul
Event date
Nov 28, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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