Topic
Semantic similarity
About: Semantic similarity is a research topic. Over the lifetime, 14605 publications have been published within this topic receiving 364659 citations. The topic is also known as: semantic relatedness.
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TL;DR: It is found that an information-theoretical redefinition of well-known semantic measures and similarity coefficients, and an intrinsic estimation of concept IC result in noticeable improvements in their accuracy, resulting in new semantic similarity measures expressed in terms of concept Information Content.
157 citations
157 citations
TL;DR: In this article, an ontology-based method for assessing similarity between FCA concepts is proposed, which is intended to support the ontology engineer in difficult activities that are becoming fundamental in the development of the Semantic Web, such as us ontology merging and ontology mapping.
157 citations
22 Oct 2001
TL;DR: This paper develops a domain-independent approach for developing semantic portals, viz.
Abstract: The core idea of the Semantic Web is to make information accessible to human and software agents on a semantic basis. Hence, Web sites may feed directly from the Semantic Web exploiting the underlying structures for human and machine access. We have developed a domain-independent approach for developing semantic portals, viz. SEAL (SEmantic portAL), that exploits semantics for providing and accessing information at a portal as well as constructing and maintaining the portal. In this paper we focus on semantics-based means that make semantic Web sites accessible from the outside, i.e. semantics-based browsing, semantic querying, querying with semantic similarity, and machine access to semantic information. In particular, we focus on methods for acquiring and structuring community information as well as methods for sharing information.As a case study we refer to the AIFB portal - a place that is increasingly driven by Semantic Web technologies. We also discuss lessons learned from the ontology development of the AIFB portal..
156 citations
TL;DR: This article focuses on three aspects of comparison that are central in structure-mapping theory: first, comparison involves structured representations, second, the comparison process is driven by a preference for connected relational structure and third, the mapping between domains is rooted in semantic similarity between the relations that characterize the domains.
Abstract: Carrying out similarity and analogy comparisons can be modeled as the alignment and mapping of structured representations. In this article we focus on three aspects of comparison that are central in structure-mapping theory. All three are controversial. First, comparison involves structured representations. Second, the comparison process is driven by a preference for connected relational structure. Third, the mapping between domains is rooted in semantic similarity between the relations that characterize the domains. For each of these points, we review supporting evidence and discuss some challenges raised by other researchers. We end with a discussion of the role of structure mapping in other cognitive processes.
156 citations