Ontology matching: A literature review

@article{OteroCerdeira2015OntologyMA,
  title={Ontology matching: A literature review},
  author={Lorena Otero-Cerdeira and Francisco Javier Rodr{\'i}guez-Mart{\'i}nez and Alma Mar{\'i}a G{\'o}mez-Rodr{\'i}guez},
  journal={Expert Syst. Appl.},
  year={2015},
  volume={42},
  pages={949-971}
}
We present a literature review regarding articles on ontology matching published in the last decade.It serves the purpose of offering an up-to-date review of the field and showing its evolution trends.Over 1600 papers have been sorted according to a classification framework that we have defined.This framework helps in identifying the distribution of the load work in the last decade.Practitioners have been consulted to contrast and validate the results of the review. The amount of research… Expand
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References

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TLDR
This paper serves as a presentation to the 2005 evaluation campaign and introduction to the results provided in the following papers. Expand
Ontology Matching with CIDER: Evaluation Report for the OAEI 2008
TLDR
A schema-based alignment algorithm compares each pair of ontology terms by extracting their ontological contexts up to a certain depth and combining different elementary ontology matching techniques, which shows a very good behaviour in terms of precision, while preserving an acceptable recall. Expand
Using multiple ontologies as background knowledge in ontology matching
TLDR
An exploration about how the matching performance behaves when multiple background ontologies are used cumulatively and the impact that dierent types of background ontology have to the matching perfor- mance is analyzed. Expand
Opening the Black Box of Ontology Matching
TLDR
An empirical study of the interaction between these components working together inside an ontology matching system and revealing the advantage of using global methods vs. local ones is proposed. Expand
IF-Map: An Ontology-Mapping Method Based on Information-Flow Theory
TLDR
A theory and method for automated ontology mapping based on channel theory, a mathematical theory of semantic information flow is presented and successfully applied to a large-scale scenario involving the mapping of several different ontologies of computer-science departments from various UK universities. Expand
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TLDR
The state of the art is not restricted to any discipline and consider as some form of ontology alignment the work made on schema matching within the database area for instance. Expand
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TLDR
In this new approach, the burden of manual selection of weights has been definitely eliminated, while preserving the performance with respect to CIDER’s previous participation in the benchmark track (at OAEI’08), and areas of potential improvement are discovered. Expand
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TLDR
It is conjecture that significant improvements can be obtained only by addressing important challenges for ontology matching and presents such challenges with insights on how to approach them, thereby aiming to direct research into the most promising tracks and to facilitate the progress of the field. Expand
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TLDR
Two novel evaluation measures to evaluate stability of matching methods and one measure to evaluate credibility of matching confidence values are designed, which help answer the above two questions. Expand
On Ontology Matching Problems - for Building a Corporate Semantic Web in a Multi-Communities Organization
TLDR
A new algorithm for matching two ontologies based on all the information available about the given ontologies (e.g. their concepts, relations, information about the structure of each hierarchy of concepts, or of relations) is proposed. Expand
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