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Journal ArticleDOI

Survey on complex ontology matching

Elodie Thiéblin, +3 more
- 09 Oct 2019 - 
- Vol. 11, Iss: 4, pp 689-727
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TLDR
An overview of the different complex matching approaches is provided and a classification of thecomplex matching approaches based on their specificities (i.e., type of correspondences, guiding structure) is proposed.
Abstract
Simple ontology alignments, largely studied in the literature, link a single entity of a source ontology to a single entity of a target ontology. One of the limitations of these alignments is, however, their lack of expressiveness which can be overcome by complex alignments. While diverse state-of-the-art surveys mainly review the matching approaches in general, to the best of our knowledge, there is no study about the specificities of the complex matching problem. In this paper, an overview of the different complex matching approaches is provided. It proposes a classification of the complex matching approaches based on their specificities (i.e., type of correspondences, guiding structure). The evaluation aspects and the limitations of these approaches are also discussed. Insights for future work in the field are provided.

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Citations
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TL;DR: An alternative ontology matching framework called Deep Attentional Embedded Ontology Matching (DAEOM), which models the matching process by embedding techniques with jointly encoding ontology terminological description and network structure, and is competitive with several OAEI top-ranked systems in terms of F-measure.
References
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OWL Web ontology language overview

TL;DR: This document provides an introduction to OWL by informally describing the features of each of the sublanguages of OWL, the Web Ontology Language by providing additional vocabulary along with a formal semantics.
Journal ArticleDOI

A survey of approaches to automatic schema matching

TL;DR: A taxonomy is presented that distinguishes between schema-level and instance-level, element- level and structure- level, and language-based and constraint-based matchers and is intended to be useful when comparing different approaches to schema matching, when developing a new match algorithm, and when implementing a schema matching component.
Journal ArticleDOI

A guided tour to approximate string matching

TL;DR: This work surveys the current techniques to cope with the problem of string matching that allows errors, and focuses on online searching and mostly on edit distance, explaining the problem and its relevance, its statistical behavior, its history and current developments, and the central ideas of the algorithms.
Book

Ontology Matching

TL;DR: The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content.