Results 71 to 80 of about 42,984 (264)

Matching biomedical ontologies based on formal concept analysis

open access: yesJournal of Biomedical Semantics, 2018
Background The goal of ontology matching is to identify correspondences between entities from different yet overlapping ontologies so as to facilitate semantic integration, reuse and interoperability.
Mengyi Zhao   +3 more
doaj   +1 more source

Interchanging lexical resources on the Semantic Web [PDF]

open access: yes, 2012
Lexica and terminology databases play a vital role in many NLP applications, but currently most such resources are published in application-specific formats, or with custom access interfaces, leading to the problem that much of this data is in ‘‘data ...
Aguado de Cea, G.   +10 more
core   +3 more sources

Results of the Ontology Alignment Evaluation Initiative 2024

open access: yesISSN: 1613-0073
The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities. The OAEI 2024 campaign offered 13 tracks and was attended by 13 participants.
Pour, Mina Abd Nikooie   +33 more
openaire   +6 more sources

A Concept of a Digital and Traceable Manufacturing Documentation Based on Formalized Process Description Applied on Composite Aircraft Moveable

open access: yesAdvanced Engineering Materials, EarlyView.
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker   +4 more
wiley   +1 more source

Interactive biomedical ontology matching.

open access: yesPLoS ONE, 2019
Due to continuous evolution of biomedical data, biomedical ontologies are becoming larger and more complex, which leads to the existence of many overlapping information.
Xingsi Xue, Zhi Hang, Zhengyi Tang
doaj   +1 more source

Access to recorded interviews: A research agenda [PDF]

open access: yes, 2008
Recorded interviews form a rich basis for scholarly inquiry. Examples include oral histories, community memory projects, and interviews conducted for broadcast media.
Heeren, W.F.L.   +3 more
core   +3 more sources

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi   +4 more
wiley   +1 more source

Comparison of ontology alignment systems across single matching task via the McNemar's test

open access: yes, 2018
Ontology alignment is widely-used to find the correspondences between different ontologies in diverse fields.After discovering the alignments,several performance scores are available to evaluate them.The scores typically require the identified alignment ...
Atashin, Amir Ahooye   +3 more
core   +1 more source

Results of the Ontology Alignment Evaluation Initiative 2012

open access: yes, 2012
Ontology matching consists of finding correspondences between semantically related entities of two ontologies. OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases. These test cases can use ontologies of different nature (from simple thesauri to expressive OWL ontologies) and use different modalities, e.g., blind ...
Aguirre, José Luis   +15 more
openaire   +4 more sources

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

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