Results 51 to 60 of about 1,174,184 (329)
Multimatcher Model to Enhance Ontology Matching Using Background Knowledge
Information, 2021 Ontology matching is a rapidly emerging topic crucial for semantic web effort, data integration, and interoperability. Semantic heterogeneity is one of the most challenging aspects of ontology matching.
Sohaib Al-Yadumi +4 more
doaj +1 more source
Semantic-Driven e-Government: Application of Uschold and King Ontology Building Methodology for Semantic Ontology Models Development [PDF]
International Journal of Web & Semantic Technology (IJWesT) Vol.
2, No. 4, October 2011, 1-20, 2011 Electronic government (e-government) has been one of the most active areas of ontology development during the past six years. In e-government, ontologies are being used to describe and specify e-government services (e-services) because they enable easy composition, matching, mapping and merging of various e-government services.
arxiv +1 more source
MaF: An Ontology Matching Framework
Journal of Universal Computer Science, 2012 In this work, we present our experience when developing the Matching Framework (MaF), a framework for matching ontologies that allows users to configure their own ontology matching algorithms and it allows developers to perform research on new complex algorithms.
Martinez-Gil, Jorge +2 more
openaire +4 more sources
The Form of Organization for Small Business [PDF]
, 1945 Matching and integrating ontologies has been a desirable technique in areas such as data fusion, knowledge integration, the Semantic Web and the development of advanced services in distributed system.
Breckenridge, M. S.
core +3 more sources
Advances in Ontology Matching [PDF]
, 2008 Matching of concepts describing the meaning of data in heterogeneous distributed information sources, such as database schemas and other metadata models, grouped here under the heading of an ontology, is one of the basic operations of semantic heterogeneity reconciliation. The aim of this chapter is to motivate the need for ontology matching, introduce
Gal, Avigdor, Shvaiko, Pavel
openaire +3 more sources
Automatic Conversion of Relational Databases into Ontologies: A Comparative Analysis of Protégé Plug-ins Performances [PDF]
International Journal of Web and Semantic Technology (IJWesT),
2016, 2016 Constructing ontologies from relational databases is an active research topic in the Semantic Web domain. While conceptual mapping rules/principles of relational databases and ontology structures are being proposed, several software modules or plug-ins are being developed to enable the automatic conversion of relational databases into ontologies ...
arxiv +1 more source
Accurate Identification of Ontology Alignments at Different Granularity Levels
IEEE Access, 2017 As more and more ontologies are defined with different terms, ontology matching plays a crucial role in addressing the semantic heterogeneity problem in many different disciplines.
Xiaocao Hu +5 more
doaj +1 more source
Exploring Wasserstein Distance across Concept Embeddings for Ontology Matching [PDF]
arXiv, 2022 Measuring the distance between ontological elements is fundamental for ontology matching. String-based distance metrics are notorious for shallow syntactic matching. In this exploratory study, we investigate Wasserstein distance targeting continuous space that can incorporate various types of information.
arxiv
Generation and matching of ontology data for the semantic web in a peer-to-peer framework [PDF]
, 2007 The abundance of ontology data is very crucial to the emerging semantic web. This paper proposes a framework that supports the generation of ontology data in a peer-to-peer environment.
A. Doan +11 more
core +1 more source
Towards more Challenging Problems for Ontology Matching Tools [PDF]
, 2011 We motivate the need for challenging problems in the evaluation of ontology matching tools. To address this need, we propose mapping sets between well-known biomedical ontologies that are based on the UMLS Metathesaurus. These mappings could be used as a
Bernardo Cuenca Grau +1 more
core +3 more sources