Focused Categorization Power of Ontologies: General Framework and Study on Simple Existential Concept Expressions

Tracking #: 3401-4615

Vojtěch Svátek
Ondřej Zamazal
Viet Bach Nguyen1
Jiří Ivánek
Ján Kluka
Miroslav Vacura

Responsible editor: 
Axel Polleres

Submission type: 
Full Paper
When reusing existing ontologies for publishing a dataset in RDF (or developing a new ontology), preference may be given to those providing extensive subcategorization for important classes (denoted as focus classes). The subcategories may consist not only of named classes but also of compound class expressions. We define the notion of focused categorization power of a given ontology, with respect to a focus class and a concept expression language, as the (estimated) weighted count of the categories that can be built from the ontology’s signature, conform to the language, and are subsumed by the focus class. For the sake of tractable initial experiments we then formulate a restricted concept expression language based on existential restrictions, and heuristically map it to syntactic patterns over ontology axioms (so-called FCE patterns). The characteristics of the chosen concept expression language and associated FCE patterns are investigated using three different empirical sources derived from ontology collections: first, the concept expression pattern frequency in class definitions; second, the occurrence of FCE patterns in the Tbox of ontologies; and last, for class expressions generated from the Tbox of ontologies (through the FCE patterns); their ‘meaningfulness’ was assessed by different groups of users, yielding a ‘quality ordering’ of the concept expression patterns. The complementary analyses are then compared and summarized. To allow for further experimentation, a web-based prototype was also implemented, which covers the whole process of ontology reuse from keyword-based ontology search through the FCP computation to the selection of ontologies and their enrichment with new concepts built from compound expressions.
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Review #1
Anonymous submitted on 25/May/2023
Review Comment:

The revision addresses all comments I had in my previous review. The answer letter additionally provides a detailed answer to all concerns I raised such that I can follow the arguments of the authors. I would like to thank the authors for their patience answering my questions and apologize for the long time this last review took. I think that the paper is an interesting read and I am convinced that many people will use (and appreciate) OReCaP.