Results 51 to 60 of about 201 (160)
, 2020 Education Research International, Volume 2020, Issue 1, 2020.
Felix Bongomin +4 more
wiley +1 more source
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
doaj +1 more source
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
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
doaj +1 more source
, 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
openaire +1 more source
CEUR Workshop Proceedings, 2012 This paper presents ASE (Aligning Smart Entities) tool for the automated alignment of OWL domain ontology definitions in the context of Internet of Things (IoT). The effort is based on experience gained by the development of AUTOMSv2 for OAEI 2012. The development process of this tool has been driven by our motivation to use the ontology alignment ...
Katasonov Artem +2 more
openaire +3 more sources
YAM++ -- Results for OAEI 2011
, 2011 The YAM++ system is a self configuration, flexible and extensible ontology matching system. The key idea behind YAM++ system is based on machine learning and similarity flooding approaches. In this paper, we briefly present the YAM++ and its results on Benchmark and Conference tracks on OAEI 2011 campaign.
Ngo, Duy Hoa +2 more
openaire +1 more source
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.
openaire +2 more sources
CroMatcher - results for OAEI 2016
, 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
openaire +2 more sources
, 2016 This paper presents the results obtained by LPHOM (Linear Program for Holistic Ontology Matching) system in the OAEI 2016 campaign. This is the first participation of our system in the OAEI campaigns. It has participated in four tracks (Benchmark, Anatomy, Conference, and Multifarm).
Megdiche-Bousarsar, Imen +2 more
openaire +2 more sources