2009
DOI: 10.1111/j.1467-9671.2009.01172.x
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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 ba… Show more

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Cited by 7 publications
(7 citation statements)
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References 40 publications
(51 reference statements)
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“…As a result, only a few studies on change detection in virtual semantic 3D city models have been published so far, some of the earliest include (Bakillah et al, 2009) and (Redweik and Becker, 2015). Recently, (Nguyen et al, 2017) was one of the first to introduce graphs as a means to represent, store and compare CityGML datasets.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, only a few studies on change detection in virtual semantic 3D city models have been published so far, some of the earliest include (Bakillah et al, 2009) and (Redweik and Becker, 2015). Recently, (Nguyen et al, 2017) was one of the first to introduce graphs as a means to represent, store and compare CityGML datasets.…”
Section: Introductionmentioning
confidence: 99%
“…Progress or change detection in virtual semantic 3D city models (mostly encoded in CityGML) is not new but due to its technical difficulties, only a few studies have been published so far, such as by (Bakillah et al, 2009) and (Redweik and Becker, 2015). The technical challenge of this problem can basically be explained by understanding the key concepts and characteristics of CityGML itself.…”
Section: Introductionmentioning
confidence: 99%
“…As explained in previous work [50], to be efficient and have a wide scope, the matchmaker component should include different levels of matching, including syntactic, lexical, structural, and semantic matching. It is also desirable that the matchmaking mechanism produces both qualitative and quantitative results (i.e., a semantic relation and a semantic similarity), such as in Bakillah et al [60], to improve the interpretation of the relation between a query and a capability description. On the other hand, the reasoning services include an inference service that uses rules to infer new facts from existing facts.…”
Section: Requests Advertisesmentioning
confidence: 99%