Results 21 to 30 of about 1,176,214 (330)
Springer Berlin Heidelberg, 2007 No abstract available.
J. Euzenat, P. Shvaiko
semanticscholar +8 more sources
Ontology and instance matching
, 2011 The growing need of sharing data and digital resources within and across organizations has produced a novel attention on issues related to ontology and instance matching.
Alfio Ferrara +7 more
core +3 more sources
Building an effective and efficient background knowledge resource to enhance ontology matching
Web Semantics, 2018 Ontology matching is critical for data integration and interoperability. Original ontology matching approaches relied solely on the content of the ontologies to align.
Amina Annane +2 more
exaly +2 more sources
Journal of King Saud University: Computer and Information Sciences, 2014 Hierarchical ontologies play a key role in organizing documents in a repository. While matching the ontologies, the relationships among the concepts are considered to be a major aspect.
Sharifullah Khan, Muhammad Safyan
doaj +2 more sources
Reverse ontology matching [PDF]
ACM SIGMOD Record, 2011 Ontology Matching aims to find the semantic correspondences between ontologies that belong to a single domain but that have been developed separately. However, there are still some problem areas to be solved, because experts are still needed to supervise the matching processes and an efficient way to reuse the alignments has not yet been found.
Jorge Martinez-Gil +1 more
openaire +3 more sources
Deep Embedding Learning With Auto-Encoder for Large-Scale Ontology Matching
International Journal on Semantic Web and Information Systems (IJSWIS), 2022 Ontology matching is an efficient method to establish interoperability among heterogeneous ontologies. Large-scale ontology matching still remains a big challenge for its long time and large memory space consumption.
Meriem Ali Khoudja +2 more
semanticscholar +1 more source
Matching Ontologies through Multi-Objective Evolutionary Algorithm with Relevance Matrix
Mathematics, 2022 The ultimate goal of semantic web (SW) is to implement mutual collaborations among ontology-based intelligent systems. To this end, it is necessary to integrate those domain-independent and cross-domain ontologies by finding the correspondences between ...
Hai Zhu, Xingsi Xue, Hongfeng Wang
doaj +1 more source
Ontology Matching: State of the Art, Future Challenges, and Thinking Based on Utilized Information
IEEE Access, 2021 Information used in existing ontology matching solutions are usually grouped into four categories: lexical information, structural information, semantic information, and external information, respectively.
Xiulei Liu +3 more
semanticscholar +1 more source
An ontology matching approach for semantic modeling: A case study in smart cities
International Conference on Climate Informatics, 2021 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).
Y. Djenouri +4 more
semanticscholar +1 more source
IEEE Access, 2021 Ontology applies commonly to solve the problem of heterogeneity of data in the Semantic Web, but the heterogeneity problem between two ontologies seriously affects their communication.
Qing Lv, Chengcai Jiang, He Li
doaj +1 more source