Ontology mapping: the state of the art

By Yannis Kalfoglou, Marco Schorlemmer. 2003

1,557 citations recorded by the source corpus.

Ontology mapping is seen as a solution provider in today's landscape of ontology research. As the number of ontologies that are made publicly available and accessible on the Web increases steadily, so does the need for applications to use them. A single ontology is no longer enough to support the tasks envisaged by a distributed environment like the Semantic Web. Multiple ontologies need to be accessed from several applications. Mapping could provide a common layer from which several ontologies could be accessed and hence could exchange information in semantically sound manners. Developing such mappings has been the focus of a variety of works originating from diverse communities over a number of years. In this article we comprehensively review and present these works. We also provide insights on the pragmatics of ontology mapping and elaborate on a theoretical approach for defining ontology mapping.

Subfields: Artificial Intelligence, Information Systems, Molecular Biology, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Information Systems

In Molecular Biology

In Natural Language Processing

Citations in the corpus

SIGMa: simple greedy matching for aligning large knowledge bases (2012, background): “A significant amount of research has been done in this area – particularly under the umbrella term of ontology matching [7, 16, 12].”
On the Ontology Instance Matching Problem (2008, background): “For ontologies, most of the existing work on ontology matching is focused at the schema level [4], [5].”
A survey on ontology mapping (2006, background): “Ontology merging, integration, and alignment can be considered as an ontology reuse process.(2,24)”
Ontology matching: A literature review (2015, background): “IF-MAP (Kalfoglou & Schorlemmer, 2003a) is a matching system that lies its foundations on the mathematical theory of semantic information flow.”
MASON: A Proposal For An Ontology Of Manufacturing Domain (2006, neutral): “That issue has been summarized and main approaches for ontologies' mapping have been presented in [9].”
Ten Challenges for Ontology Matching (2008, background): “Many diverse solutions of matching have been proposed so far, see [49, 67] for some contributions of the last decades and [14, 46, 64, 68, 73] for recent surveys(2).”
Semantic integration: a survey of ontology-based approaches (2004, methodology): “[14] Y. Kalfoglou and M. Schorlemmer.”
Ontology Mapping: An Information Retrieval and Interactive Activation Network Based Approach (2007, background): “More comprehensive surveys of ontology mapping approache s an be found in [9][14].”
Multi-Agent Systems for Power Engineering Applications—Part II: Technologies, Standards, and Tools for Building Multi-agent Systems (2007, background): “Part of the problem may be that the state-of-the-art in ontology mapping [22] falls short of what is required to automate services 3–5 above.”
Schema and ontology matching with COMA++ (2005, methodology): “To reduce the manual effort required, many techniques and prototypes have been developed to semi-automatically solve the match problem [6], [11].”