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pro vyhledávání: '"Jorge Martinez-Gil"'
Autor:
Jorge Martinez-Gil
Publikováno v:
Machine Learning with Applications, Vol 10, Iss , Pp 100423- (2022)
This article presents a comprehensive review of stacking methods commonly used to address the challenge of automatic semantic similarity measurement in the literature. Since more than two decades of research have left various semantic similarity meas
Externí odkaz:
https://doaj.org/article/a2b077747c4344d0a781560318729ba0
Publikováno v:
IEEE Access, Vol 9, Pp 55537-55554 (2021)
Knowledge graphs in manufacturing and production aim to make production lines more efficient and flexible with higher quality output. This makes knowledge graphs attractive for companies to reach Industry 4.0 goals. However, existing research in the
Externí odkaz:
https://doaj.org/article/63ab2212a6eb4828a71c78529a8ee8e9
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-13
Recently, transfer learning strategies have become ideal for reusing acquired knowledge through a training phase. The key idea is that reusing such knowledge brings advantages such as increased accuracy and considerable resource savings. In this work
Autor:
Jorge Martinez Gil
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 33:289-312
The challenge of assessing semantic similarity between pieces of text through computers has attracted considerable attention from industry and academia. New advances in neural computation have developed very sophisticated concepts, establishing a new
Publikováno v:
Journal of Data Intelligence. 3:316-332
The problem of ontology matching consists of finding the semantic correspondences between two ontologies that, although belonging to the same domain, have been developed separately. Ontology matching methods are of great importance today since they a
Autor:
Jorge Martinez-Gil, Georg Buchgeher, David Gabauer, Bernhard Freudenthaler, Dominik Filipiak, Anna Fensel
Publikováno v:
Procedia Computer Science, 200, 944-953
Procedia Computer Science 200 (2022)
Procedia Computer Science 200 (2022)
In the industrial domain, developing solutions that allow the identification, understanding, and correction of faults is essential due to the cost of handling such situations. However, to date, there are not many solutions capable of facilitating the
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Publikováno v:
Progress in Artificial Intelligence. 11:93-104
In recent times, the use of knowledge graphs has been massively adopted so that many of these graphs can even be found publicly on the Web. This makes that solutions for solving interoperability problems among them might be in high demand. The reason
Publikováno v:
Data & Knowledge Engineering. 145:102155
Autor:
Jorge Martinez-Gil, Mario Pichler, Gianluca Lentini, Valerio Mazzeschi, Guillaume Doukhan, Claire Belet
Publikováno v:
Journal of Information & Knowledge Management. 21
This work shows how we have designed and implemented a digital platform for Smart Villages, which can serve as a knowledge management and decision support system for rural stakeholders, including planners, administrative staff, and decision-makers. O