TY - JOUR
T1 - Structure-Based Partitioning of Large Concept Hierarchies
AU - Stuckenschmidt, Heiner
AU - Klein, Michel
PY - 2004
Y1 - 2004
N2 - The increasing awareness of the benefits of ontologies for information processing has lead to the creation of a number of large ontologies about real-world domains. The size of these ontologies and their monolithic character cause serious problems in handling them. In other areas, e.g. software engineering, these problems are tackled by partitioning monolithic entities into sets of meaningful and mostly self-contained modules. In this paper, we suggest a similar approach for ontologies. We propose a method for automatically partitioning large ontologies into smaller modules based on the structure of the class hierarchy. We show that the structure-based method performs surprisingly well on real-world ontologies. We support this claim by experiments carried out on real-world ontologies including SUMO and the NCI cancer ontology. The results of these experiments are available online at http: //swserver. cs .vu.nl/partitioning/.
AB - The increasing awareness of the benefits of ontologies for information processing has lead to the creation of a number of large ontologies about real-world domains. The size of these ontologies and their monolithic character cause serious problems in handling them. In other areas, e.g. software engineering, these problems are tackled by partitioning monolithic entities into sets of meaningful and mostly self-contained modules. In this paper, we suggest a similar approach for ontologies. We propose a method for automatically partitioning large ontologies into smaller modules based on the structure of the class hierarchy. We show that the structure-based method performs surprisingly well on real-world ontologies. We support this claim by experiments carried out on real-world ontologies including SUMO and the NCI cancer ontology. The results of these experiments are available online at http: //swserver. cs .vu.nl/partitioning/.
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U2 - 10.1007/978-3-540-30475-3_21
DO - 10.1007/978-3-540-30475-3_21
M3 - Article
AN - SCOPUS:35048890068
SN - 0302-9743
VL - 3298
SP - 289
EP - 303
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
ER -