Results 31 to 40 of about 40,724 (255)

An ontology for software component matching [PDF]

open access: yesInternational Journal on Software Tools for Technology Transfer, 2003
The Web is likely to be a central platform for software development in the future. We investigate how Semantic Web technologies, in particular ontologies, can be utilised to support software component development in a Web environment. We use description logics, which underlie Semantic Web ontology languages such as DAML+OIL, to develop an ontology for ...
openaire   +5 more sources

Hybrid Ontology for Semantic Information Retrieval Model Using Keyword Matching Indexing System

open access: yesThe Scientific World Journal, 2015
Ontology is the process of growth and elucidation of concepts of an information domain being common for a group of users. Establishing ontology into information retrieval is a normal method to develop searching effects of relevant information users ...
K. R. Uthayan, G. S. Anandha Mala
doaj   +1 more source

DAEOM: A Deep Attentional Embedding Approach for Biomedical Ontology Matching

open access: yesApplied Sciences, 2020
Ontology Matching (OM) is performed to find semantic correspondences between the entity elements of different ontologies to enable semantic integration, reuse, and interoperability.
Jifang Wu   +3 more
doaj   +1 more source

Multimatcher Model to Enhance Ontology Matching Using Background Knowledge

open access: yesInformation, 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

Ontology Alignment for Accurate Ontology Matching: A Survey

open access: yes, 2023
AbstractEdge computing, a distributed computing architecture within the knowledge-defined network (KDN), faces challenges due to the significant disparities and data heterogeneity among its nodes, hindering their interaction. Ontology, a solution within the Semantic Web, is well-suited for addressing data heterogeneity and matching ontologies ...
Hasham Khan   +4 more
openaire   +1 more source

Using NSGA-III for optimising biomedical ontology alignment

open access: yesCAAI Transactions on Intelligence Technology, 2019
To support semantic inter-operability between the biomedical information systems, it is necessary to determine the correspondences between the heterogeneous biomedical concepts, which is commonly known as biomedical ontology matching. Biomedical concepts
Xingsi Xue   +3 more
doaj   +1 more source

Complex Ontology Matching Based on Path Feature [PDF]

open access: yesJisuanji gongcheng, 2017
The complex ontology matching methods are mainly classified into correspondence pattern based methods and machine learning based ones.The former are heuristic ones that are designed with some knowledge about the ontologies to be aligned and the latter ...
WANG Hanbo,SUN Qilin
doaj   +1 more source

Accurate Identification of Ontology Alignments at Different Granularity Levels

open access: yesIEEE Access, 2017
As more and more ontologies are defined with different terms, ontology matching plays a crucial role in addressing the semantic heterogeneity problem in many different disciplines.
Xiaocao Hu   +5 more
doaj   +1 more source

Schema and ontology matching with COMA++

open access: yesProceedings of the 2005 ACM SIGMOD international conference on Management of data, 2005
We demonstrate the schema and ontology matching tool COMA++. It extends our previous prototype COMA utilizing a composite approach to combine different match algorithms [3]. COMA++ implements significant improvements and offers a comprehensive infrastructure to solve large real-world match problems.
David Aumueller   +3 more
openaire   +3 more sources

MaF: An Ontology Matching Framework

open access: yesJ. Univers. Comput. Sci., 2012
In this work, we present our experience when developing the Matching Framework (MaF), a framework for matching ontologies that allows users to configure their own ontology matching algorithms and it allows developers to perform research on new complex algorithms.
Martinez-Gil, Jorge   +2 more
openaire   +3 more sources

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