Viewpoints: a framework for object oriented database modelling and distribution

Benchikha, Fouzia; Boufaïda, Mahmoud; Seinturier, Lionel

doi:10.2481/dsj.4.92

Cited by 3 publications

(1 citation statement)

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“…Several researchers have shown interest in the view paradigm, both in the database domain (Debrauwer 1998, Bédard and Bernier 2002, Benchikha et al. 2005, Parent et al.…”

Section: Sim‐net Semantic Similarity Modelmentioning

confidence: 99%

SIM‐NET: A View‐Based Semantic Similarity Model for Ad Hoc Networks of Geospatial Databases

Bakillah

Bédard

Mostafavi

et al. 2009

Transactions in GIS

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Semantic similarity is a fundamental notion in GIScience for achieving semantic interoperability among geospatial data. Until now, several semantic similarity models have been proposed; however, few of these models address the issues related to the assessment of semantic similarity in ad hoc networks. Also, several models are based on a definition of concepts where features are independent, an assumption that reduces the richness of the geospatial concept representation. This article presents the conceptual basis for Sim-Net, a novel semantic similarity model for ad hoc networks based on Description Logics (DL). Sim-Net is based on the multi-view paradigm. This paradigm is used to include inferential knowledge in semantic similarity, that is, the knowledge about implicit dependencies between features of concepts. In Sim-Net, assessing semantic similarity relies on the notions of Semantic Reference Systems and Formal Concept Analysis (FCA), which are combined to establish a common semantic reference frame for ontologies of the ad hoc network called the view lattice. The Sim-Net semantic similarity measure distinguishes concepts that belong to different or similar domains and takes into account the neighbours of a concept in the network. An application example is used to show the positive impact of the properties of Sim-Net.

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“…Several researchers have shown interest in the view paradigm, both in the database domain (Debrauwer 1998, Bédard and Bernier 2002, Benchikha et al. 2005, Parent et al.…”

Section: Sim‐net Semantic Similarity Modelmentioning

confidence: 99%