Results 21 to 30 of about 618 (178)
AROMA Results for OAEI 2008. [PDF]
, 2008 This paper presents the results obtained by AROMA for its first participation to OAEI. AROMA is an hybrid, extensional and asymmetric ontology alignment method which makes use of the association paradigm and a statistical interstingness measure, the implication intensity.
David, Jérôme
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LogMap family participation in the OAEI 2017 [PDF]
, 2017 We present the participation of LogMap and its variants in the OAEI 2017 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system. This is our seventh participation in the OAEI and the experience has so far been very positive.
Jimenez-Ruiz, E., Grau, B. C., Cross, V.
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Results of CMatch in OAEI 2025. [PDF]
This paper presents CMatch (Complex Matcher), an LLM-based ontology matching approach designed for the Complex Track of the Ontology Alignment Evaluation Initiative (OAEI) 2025. CMatch addresses two core challenges in complex ontology matching: the combinatorial explosion of candidate subgraph pairs and the generation of expressive, logic-based ...
Santos Sousa, Guilherme +2 more
core +4 more sources
Logmap family participation in the OAEI 2019 [PDF]
, 2019 We present the participation of LogMap and its variants in the OAEI 2019 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system. This is the ninth participation in the OAEI and the experience has so far been very positive.
Jimenez-Ruiz, E., Jimenez-Ruiz, Ernesto
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TaxoMap in the OAEI 2007 alignment contest [PDF]
, 2007 This paper presents our first participation in the OAEI 2007 campaign. It describes an approach to align taxonomies which relies on terminological and structural techniques applied sequentially. We per- formed our method with various taxonomies using our prototype, Tax- oMap.
Zargayouna, Haifa +2 more
openaire +2 more sources
YAM-BIO – Results for OAEI 2017 [PDF]
, 2017 The YAM-BIO ontology alignment system is an extension of YAM++ but dedicated to aligning biomedical ontologies. YAM++ has successfully participated in several editions of the Ontology Alignment Evaluation Initiative (OAEI) between 2011 and 2013, but this is the first participation of YAM-BIO.
Annane, Amina +3 more
core +3 more sources
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
Hybridizing Fuzzy String Matching and Machine Learning for Improved Ontology Alignment
Future Internet, 2023 Ontology alignment has become an important process for identifying similarities and differences between ontologies, to facilitate their integration and reuse.
Mohammed Suleiman Mohammed Rudwan +1 more
doaj +1 more source
An ontology matching approach for semantic modeling: A case study in smart cities
Computational Intelligence, Volume 38, Issue 3, Page 876-902, June 2022., 2022 Abstract This paper investigates the semantic modeling of smart cities and proposes two ontology matching frameworks, called Clustering for Ontology Matching‐based Instances (COMI) and Pattern mining for Ontology Matching‐based Instances (POMI). The goal is to discover the relevant knowledge by investigating the correlations among smart city data based
Youcef Djenouri +4 more
wiley +1 more source
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 In recent years, knowledge representation in the Artificial Intelligence (AI) domain is able to help people understand the semantics of data and improve the interoperability between diverse knowledge‐based applications. Semantic Web (SW), as one of the methods of knowledge representation, is the new generation of World Wide Web (WWW), which integrates ...
Yikun Huang +3 more
wiley +1 more source