Results 61 to 70 of about 814 (138)

MultiFarm: A benchmark for multilingual ontology matching

, 2012
In this paper we present the MultiFarm dataset, which has been designed as a benchmark for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies translated in different languages and the corresponding alignments ...
Andrei Tamilin, Christian Meilicke, Cássia Trojahn, Elena Montiel-Ponsoda, Euzenat, Euzenat, Fred Freitas, Fu, García-Castro, Giunchiglia, Heiner Stuckenschmidt, Jung, Neches, Niepert, Ondřej Šváb-Zamazal, Raúl García-Castro, Ryan Ribeiro de Azevedo, Shenghui Wang, Vojtěch Svátek, Wang, Willem Robert van Hage   +20 more
core   +3 more sources

We divide, you conquer: From large-scale ontology alignment to manageable subtasks with a lexical index and neural embeddings [PDF]

, 2018
Large ontologies still pose serious challenges to state-of-the-art on-tology alignment systems. In this paper we present an approach that combines alexical index, a neural embedding model and locality modules to effectively di-vide an input ontology ...
Agibetov, A., Cross, V., Jimenez-Ruiz, E., Samwald, M.   +3 more
core  

Evaluating Ontology Matching Systems on Large, Multilingual and Real-world Test Cases [PDF]

In the field of ontology matching, the most systematic evaluation of matching systems is established by the Ontology Alignment Evaluation Initiative (OAEI), which is an annual campaign for evaluating ontology matching systems organized by different ...
Aguirre, J-L., Grau, B. C., Jimenez-Ruiz, E., Meilicke, C., Stuckenschmidt, H., Sváb-Zamazal, O., Trojahn, C.   +6 more
core  

Introducing fuzzy trust for managing belief conflict over semantic web data [PDF]

, 2008
Interpreting Semantic Web Data by different human experts can end up in scenarios, where each expert comes up with different and conflicting ideas what a concept can mean and how they relate to other concepts. Software agents that operate on the Semantic
Motta, Enrico, Nagy, Miklos, Vargas-Vera, Maria   +2 more
core   +1 more source

Results of the ontology alignment evaluation initiative 2023 [PDF]

, 2023
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.
Algergawy, A, Buche, P, Castro, Lj, Chen, J, Coulet, A, Cufi, J, Dong, H, Fallatah, O, Faria, D, Fundulaki, I, He, Yuan, Hertling, S, Horrocks, Ian, Huschka, M, Ibanescu, L, Jain, S, Jiménez-Ruiz, E, Karam, N, Lambrix, P, Li, H, Li, Y, Monnin, P, Nasr, E, Paulheim, H, Pesquita, C, Pour, Man, Saveta, T, Shvaiko, P, Sousa, G, Trojahn, C, Vatascinova, J, Wu, M, Yaman, B, Zamazal, O, Zhou, L   +34 more
core   +1 more source

SL-CMTGP: An Effective Knowledge Interaction Matching Model Between Multitasks for Large-Scale Biomedical Ontologies

Big Data Mining and Analytics
Biomedical ontologies encapsulate the vast knowledge within the medical domain, facilitating communication and data exchange. However, the heterogeneity of these ontologies often impedes knowledge exchange, especially in large-scale biomedical ontologies.
Donglei Sun, Qing Lv, Pei−Wei Tsai, Xingsi Xue, Kai Zhang, Ketao Dai   +5 more
doaj   +1 more source

Improving approximation of domain-focused, corpus-based, lexical semantic relatedness [PDF]

, 2017
Semantic relatedness is a measure that quantifies the strength of a semantic link between two concepts. Often, it can be efficiently approximated with methods that operate on words, which represent these concepts.
Rybinski, Maciej
core   +1 more source

Dealing with Semantic Heterogeneity Issues on the Web [PDF]

, 2011
The Semantic Web is an extension of the traditional Web in which meaning of information is well defined, thus allowing a better interaction between people and computers.
Gracia del Río, Jorge, Mena, Eduardo
core   +2 more sources

The state of semantic technology today - overview of the first SEALS evaluation campaigns [PDF]

, 2011
This paper describes the first five SEALS Evaluation Campaigns over the semantic technologies covered by the SEALS project (ontology engineering tools, ontology reasoning tools, ontology matching tools, semantic search tools, and semantic web service
García-Castro, Raúl, Nixon, Lindon, Wrigley, Stuart N.   +2 more
core  

Performance assessment of ontology matching systems for FAIR data. [PDF]

J Biomed Semantics, 2022
van Damme P, Fernández-Breis JT, Benis N, Miñarro-Gimenez JA, de Keizer NF, Cornet R.   +5 more
europepmc   +1 more source