Data Access Based on Faceted Queries over Ontologies

Pankowski, Tadeusz; Brzykcy, Grażyna

doi:10.1007/978-3-319-44406-2_21

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Hence, the current experiment shows that the annotation based on LinkedMDR is the most concise since it provides the highest f 2 -score (0.94) with a relatively small number of annotation elements, all in a single annotation file, and without any redundancy. [14]) which, so far, are not adopted in our prototype. As for Corpus m [xLinks].rdf , one can see that the GATE java API is reliable in automatically extracting explicit inter and intra-document references from regular expressions encountered in the textual documents.…”

Section: Resultsmentioning

confidence: 99%

LinkedMDR: A Collective Knowledge Representation of a Heterogeneous Document Corpus

Charbel

Sallaberry

Laborie

et al. 2017

Lecture Notes in Computer Science

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The ever increasing need for extracting knowledge from heterogeneous data has become a major concern. This is particularly observed in many application domains where several actors, with different expertise, exchange a great amount of information at any stage of a large-scale project. In this paper, we propose LinkedMDR: a novel ontology for Linked Multimedia Document Representation that describes the knowledge of a heterogeneous document corpus in a semantic data network. LinkedMDR combines existing standards and introduces new components that handle the connections between these standards and augment their capabilities. It is generic and offers a pluggable layer that makes it adaptable to different domain-specific knowledge. Experiments conducted on construction projects show that LinkedMDR is applicable in real-world scenarios.

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Section: Resultsmentioning

confidence: 99%

LinkedMDR: A Collective Knowledge Representation of a Heterogeneous Document Corpus

Charbel

Sallaberry

Laborie

et al. 2017

Lecture Notes in Computer Science

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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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Exploring Ontology-Enhanced Bibliography Databases Using Faceted Search

Pankowski

2017

Research and Advanced Technology for Digital Libraries

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Data Access Based on Faceted Queries over Ontologies

Cited by 4 publications

References 11 publications

LinkedMDR: A Collective Knowledge Representation of a Heterogeneous Document Corpus

LinkedMDR: A Collective Knowledge Representation of a Heterogeneous Document Corpus

Ontological databases with faceted queries

Exploring Ontology-Enhanced Bibliography Databases Using Faceted Search

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