Results 71 to 80 of about 618 (178)
Ontology Merging Using the Weak Unification of Concepts
Big Data and Cognitive ComputingKnowledge representation and manipulation in knowledge-based systems typically rely on ontologies. The aim of this work is to provide a novel weak unification-based method and an automatic tool for OWL ontology merging to ensure well-coordinated task ...
Norman Kuusik, Jüri Vain
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OAEI 2018 results of POMap++. [PDF]
, 2018 Ontology matching is the process of finding a set of corre-spondences between the entities of two or more ontologies representing asimilar domain. POMap++ is an ontology matching system associatingontology partitioning to the machine learning techniques. This associ-ation delivers a local matching learning.
Laadhar, Amir +5 more
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DLinker results for OAEI 2022. [PDF]
, 2022 DLinker is a system for matching instances of two RDF data sources. Its performance is mainly based on the deep comparison of literals. The main comparison algorithm is based on the search for the longest common subsequence (LCS) present in the literals. The validation of the similarity between two literals is performed by a mathematical formula.
Happi Happi, Bill Gates +3 more
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Wiktionary matcher results for OAEI 2020 [PDF]
, 2020 This paper presents the results of the Wiktionary Matcher in the Ontology Alignment Evaluation Initiative(OAEI) 2020.Wiktionary Matcher is an ontology matching tool that exploits Wiktionary as external background knowledge source.
Paulheim, Heiko, Portisch, Jan
core
Inconsistency Repair to Improve the Alignment Results of Ontology Matchers
International Journal of Information and Communication Technology Research, 2017 Ontology inconsistency is one of the most important topics in the field of ontology matching. Until now many matchers are introduced but most of them suffer from inconsistencies.
Bahareh Behkamal, Mahmoud Naghibzadeh
doaj
LYAM++ Results for OAEI 2015 [PDF]
, 2015 The paper presents a novel technique for aligning cross-lingual ontologies that does not rely on machine translation, but uses the large multilingual semantic network BabelNet as a source of background knowledge. In addition, our approach applies a novel orchestration of the components of the matching workflow.
Tigrine, Abdel Nasser +2 more
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CroMatcher - results for OAEI 2016 [PDF]
, 2016 Ontology matching plays an important role in the integration of heterogeneous data sources that are described by ontologies. In order to find correspondences between entities of different ontolog ies, a matching system has to be built. CroMatcher is an ontology matching system that consists of several string and structural basic matchers. As individual
Gulić, Marko +2 more
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LogMap family participation in the OAEI 2023. [PDF]
, 2023 We present the participation of LogMap and its variants in the OAEI 2023 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching ...
Jimenez-Ruiz, E.
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CroMatcher - results for OAEI 2015 [PDF]
, 2015 CroMatcher is an ontology matching system based on parallel composition of basic ontology matchers. There are two fundamental parts of the system: first, automated weighted aggregation of correspondences produced by different basic matchers in the parallel composition ; second, an iterative final alignment method. This is the second time CroMatcher has
Vrdoljak, Boris +2 more
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Bayesian Evaluation and Comparison of Ontology Alignment Systems
IEEE Access, 2019 Ontology alignment systems are evaluated by various performance scores, which are usually computed by a ratio related directly to the frequency of the true positives.
Majid Mohammadi
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