Title
Finding informative commonalities in concept collections
Abstract
The problem of finding commonalities characterizes several Knowledge Management scenarios involving collection of resources. The automatic extraction of shared features in a collection of resource descriptions formalized in accordance with a logic language has been in fact widely investigated in the past. In particular, with reference to Description Logics concept descriptions, Least Common Subsumers have been specifically introduced. Nevertheless, such studies focused on identifying features shared by the whole collection. The paper proposes instead novel reasoning services in Description Logics, aimed at identifying commonalities in a significant portion of the collection, rather than in the collection as a whole. In particular, common subsumers adding informative content to the one provided by the Least Common Subsumer are here investigated. The new services are useful in all scenarios where features are not required to be fully shared, like the one motivating our research: Core Competence extraction in knowledge intensive companies.
Year
DOI
Venue
2008
10.1145/1458082.1458190
CIKM
Keywords
DocType
Citations 
informative content,shared feature,concept collection,automatic extraction,core competence extraction,common subsumers,description logics concept description,whole collection,knowledge management scenario,common subsumer,informative commonality,description logics,information content,core competencies,knowledge management,description logic
Conference
4
PageRank 
References 
Authors
0.40
15
4
Name
Order
Citations
PageRank
Simona Colucci1104771.96
Eugenio Di Sciascio21733147.71
Francesco M. Donini33481452.47
Eufemia Tinelli49011.70