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Erschienen in: Journal on Data Semantics 2-3/2013

01.06.2013 | Original Article

Grounding Ontologies with Social Processes and Natural Language

verfasst von: Christophe Debruyne, Trung-Kien Tran, Robert Meersman

Erschienen in: Journal on Data Semantics | Ausgabe 2-3/2013

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Abstract

Ontologies for enabling semantic interoperability is one of the branches in which agreement between a heterogeneous group of stakeholders is of vital importance. As agreements are the result of interactions, appropriate methods should take into account the natural language used by the community during those interactions. In this article, we first extend a fact-oriented formalism for the construction of so-called hybrid ontologies. In hybrid ontologies, concepts are described both formally and informally and the agreements are being grounded in community interactions. We furthermore present GOSPL, a collaborative ontology engineering method on top of this extension and describe how agreements on formal and informal descriptions are complementary and interplay. We show how the informal descriptions can drive the ontology construction process and how commitments from the ontology to the application are exploited to steer the agreement processes. All of the ideas presented in this article have been implemented in a tool and used in an experiment involving 40+ users, of which a discussion is presented.

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Fußnoten
1
There are only fact types, no distinction between relations and attributes. The constraints on roles in these fact types determine the “attributeness” of a fact type.
 
2
We do, however, capture what part of the conceptualization and its axiomatization should be present in all commitments to ensure proper semantic interoperation between the different systems (we refer to Sect. 3.1 for more details).
 
3
Developing Ontology Guided Methods and Applications.
 
5
Semantic tableaux are an efficient and convenient means to test whether a formula \(\phi \) is a logical consequence of a set of formulas \(\Sigma \) in FOL. This is done by trying to make \(\phi \) false with respect to \(\Sigma \) by looking for counterexamples for the sequent \(\Sigma \circ \phi \). A sequent are two sets of formulas \(\phi _1,\ldots ,\phi _n\) and \(\psi _1,\ldots ,\psi _m\) separated by the symbols \(\circ \). A evaluation \(V\) is called a counterexample of a sequent \(\phi _1,\ldots ,\phi _n \circ \psi _1,\ldots ,\psi _m\) if \(V(\phi _1) = \cdots = V(\phi _n) = 1\) and \(V(\psi _1) =\cdots = V(\psi _m) = 1\). When a formula \(\phi \) occurs on both sides of the sequent, the evaluation of \(\phi \) returns both 1 and 0. In that case, the sequent contains a contradiction and thus has no counterexample.
Formulas on the LHS of a sequent have to be made true and formulas on the RHS of a sequent false. For instance, in \(\Sigma ,\alpha \wedge \beta \circ \Pi ,\alpha \wedge \beta \) is true if and only if both \(\alpha \) and \(\beta \) are true, which then yields the subproblem \(\Sigma ,\alpha ,\beta \circ \Pi \) (using the \(\wedge L\) rule, where the ‘L’ stands for left). A branch is considered closed if it contains the same formula both on the LHS and RHS in one of the sequents of a branch. Otherwise the branch is open and a counterexample is found. A counterexample is a model that makes the LHS of the top sequent true, but the RHS false.
 
6
Franconi and Mosca published a technical paper containing more information entitled “The formalisation of ORM2 and its encoding in OWL2”. Available from https://​www.​inf.​unibz.​it/​krdb/​pub/​TR/​KRDB12-2.​pdf
 
7
The first version of her paper was published in 2007 in the Computer Research Repository. Later on, she provided a second version of her paper with corrections, more extensive related work, etc. in 2009. Both versions of the paper can be found here: http://​arxiv.​org/​abs/​cs.​LO/​0702089
 
8
Which is only true for only certain types of applications.
 
10
Or a part of the community that felt the need to participate in a particular discussion.
 
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Metadaten
Titel
Grounding Ontologies with Social Processes and Natural Language
verfasst von
Christophe Debruyne
Trung-Kien Tran
Robert Meersman
Publikationsdatum
01.06.2013
Verlag
Springer-Verlag
Erschienen in
Journal on Data Semantics / Ausgabe 2-3/2013
Print ISSN: 1861-2032
Elektronische ISSN: 1861-2040
DOI
https://doi.org/10.1007/s13740-013-0023-3

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