Exploring Ontology-Enhanced Bibliography Databases Using Faceted Search

Pankowski, Tadeusz

doi:10.1007/978-3-319-67008-9_3

Cited by 3 publications

(1 citation statement)

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“…The considerations in the paper are based on the DAFO (Data Access based on Faceted queries over Ontologies), that was implemented on the top of a commercial relational database engine and ensures high efficiency of query answering. Some details of the implementation as well as the high efficiency of query answering are reported in our previous work [55,56,58].…”

Section: Discussionmentioning

confidence: 99%

Ontological databases with faceted queries

Pankowski

2022

The VLDB Journal

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The success of the use of ontology-based systems depends on efficient and user-friendly methods of formulating queries against the ontology. We propose a method to query a class of ontologies, called facet ontologies (fac-ontologies), using a faceted human-oriented approach. A fac-ontology has two important features: (a) a hierarchical view of it can be defined as a nested facet over this ontology and the view can be used as a faceted interface to create queries and to explore the ontology; (b) the ontology can be converted into an ontological database, the ABox of which is stored in a database, and the faceted queries are evaluated against this database. We show that the proposed faceted interface makes it possible to formulate queries that are semantically equivalent to $${\mathcal {SROIQ}}^{Fac}$$ SROIQ Fac , a limited version of the $${\mathcal {SROIQ}}$$ SROIQ description logic. The TBox of a fac-ontology is divided into a set of rules defining intensional predicates and a set of constraint rules to be satisfied by the database. We identify a class of so-called reflexive weak cycles in a set of constraint rules and propose a method to deal with them in the chase procedure. The considerations are illustrated with solutions implemented in the DAFO system (data access based on faceted queries over ontologies).

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Section: Discussionmentioning

confidence: 99%