Paper Info
Title
SIM-NET: A View-Based Semantic Similarity Model for Ad Hoc Networks of Geospatial Databases
Abstract
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.
Year
DOI
Venue
2009
10.1111/j.1467-9671.2009.01172.x
TRANSACTIONS IN GIS
Field
DocType
Volume
Semantic integration,Data mining,Computer science,Explicit semantic analysis,Semantic interoperability,Artificial intelligence,Natural language processing,Semantic computing,Semantic data model,Semantic similarity,Information retrieval,Semantic equivalence,Semantic grid
Journal
13
Issue
ISSN
Citations 
5-6
1361-1682
2
PageRank 
References 
Authors
0.37
25
4
Name
Order
Citations
PageRank
Mohamed Bakillah116111.55
Yvan Bédard220222.80
Mir Abolfazl Mostafavi314416.75
Jean Brodeur4525.14