Results 291 to 300 of about 1,176,214 (330)
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Proceedings of the 3rd international conference on Knowledge capture, 2005
Abstract: Managing multiple ontologies is now a core question in most of the applications that require semantic interoperability. The semantic web is surely the most significant application of this report: the current challenge is not to design, develop and deploy domain ontologies but to define semantic correspondences among multiple ontologies ...
Trichet, Francky, Furst, Frederic
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Abstract: Managing multiple ontologies is now a core question in most of the applications that require semantic interoperability. The semantic web is surely the most significant application of this report: the current challenge is not to design, develop and deploy domain ontologies but to define semantic correspondences among multiple ontologies ...
Trichet, Francky, Furst, Frederic
openaire +2 more sources
An evaluation of ontology matching techniques on geospatial ontologies
International Journal of Geographical Information Science, 2013In this paper, we evaluate if ontology matching techniques allow performing an automatic integration of geospatial information modeled from different viewpoints. In order to achieve this, an evaluation methodology was designed, and it was applied to the discovery of relationships between CityGML and ontologies coming from the building information ...
M Mercedes Martinez-Gonzalez +1 more
exaly +2 more sources
Ontology Matching with Large Language Models and Prioritized Depth-First Search
Information FusionOntology matching (OM) plays a key role in enabling data interoperability and knowledge sharing, but it remains challenging due to the need for large training datasets and limited vocabulary processing in machine learning approaches.
M. Taboada +3 more
semanticscholar +1 more source
GraphMatcher: a graph representation learning approach for ontology matching
OM@ISWCOntology matching is defined as finding a relationship or correspondence between two or more entities in two or more ontologies. To solve the interoperability problem of the domain ontologies, semantically similar entities in these ontologies must be ...
Sefika Efeoglu
semanticscholar +1 more source
A learning style-based Ontology Matching to enhance learning resources recommendation
2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), 2020Content-based recommender systems (CBRS) are widely used in various domains including the E-leaning. In the E-learning field, a content-based recommender system aims to represent and extract the knowledge about learners and the learning materials to ...
Ouafae El Aissaoui, L. Oughdir
semanticscholar +1 more source
An optimized system for sensor ontology meta‐matching using swarm intelligent algorithm
Internet Technology LettersIt is beneficial to annotate sensor data with distinct sensor ontologies in order to facilitate interoperability among different sensor systems. However, for this interoperability to be possible, comparable sensor ontologies are required since it is ...
S. AbdulLateefHaroonP. +4 more
semanticscholar +1 more source
A novel algorithm for ontology matching
Journal of Information Science, 2010Ontology matching is an essential aspect of the Semantic Web with a goal of finding alignments among the entities of given ontologies. Ontology matching is a necessary step for establishing interoperation and knowledge sharing among Semantic Web applications.
Mohammad Fathian
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Geographic Ontology Matching with iG-Match
2007To achieve accurate results when matching geographic ontologies, it is important to have clear what has to be compared, and just then start comparing them. In this paper we define a geographic ontology reference model and, from it, the set of heterogeneities that may occur when comparing two geographic ontologies is elaborated, at both the concept and ...
Guillermo Nudelman Hess +2 more
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Int. J. Medical Informatics, 2019
BACKGROUND AND OBJECTIVE Healthcare systems deal with multiple challenges in releasing information from data silos, finding it almost impossible to be implemented, maintained and upgraded, with difficulties ranging in the technical, security and human ...
Athanasios Kiourtis +3 more
semanticscholar +1 more source
BACKGROUND AND OBJECTIVE Healthcare systems deal with multiple challenges in releasing information from data silos, finding it almost impossible to be implemented, maintained and upgraded, with difficulties ranging in the technical, security and human ...
Athanasios Kiourtis +3 more
semanticscholar +1 more source
Semantic Enrichment in Ontologies for Matching
International Journal on Semantic Web and Information Systems, 2006Matching between heterogeneous ontologies becomes crucial for interoperability in distributed and intelligent environments. Although many efforts in ontology mapping have already been conducted, most of them rely heavily on the meaning of entity names, rather than the semantics defined in ontologies.
Nwe Ni Tun, Satoshi Tojo
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