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FAIRnets search - A prototype search service to find neural networks

Nguyen, Anna; Weller, Tobias

Abstract:
Research on neural networks has gained significant momen- tum over the past few years. A vast number of neural networks is current- ly being developed and trained on available data in research as well as in industry. As the number of neural network architectures increases, we want to support people in the field of machine learning by making existing architectures easier to find and reuse. In this Demo, we support the findability and reusability of Neural Net- works by using the FAIRnets Search. Attendees will learn how to use the FAIRnets Search web service to search the FAIRnets dataset. The FAIRnets dataset is an RDF dataset containing information about alrea- dy modeled neural networks. By applying RDF and OWL, our system can be queried using SPARQL queries indicating the desired character- istics of the neural network. As a result, all neural networks fulfilling the search query are returned to the user. The returned search results support users to gain insights into existing neural networks. Furthermore, we give the possibility to get more detailed information about the archi- tecture of the networks, as well as further links. The demo is available at http://km.aifb.kit.edu/services/fairnets/.

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Verlagsausgabe §
DOI: 10.5445/IR/1000100176
Veröffentlicht am 03.12.2019
Scopus
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000100176
Erschienen in Posters and Demos at SEMANTiCS 2019: Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems, co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, September 9th to 12th, 2019. Ed.: M. Alam
Veranstaltung 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Deutschland, 09.09.2019 – 12.09.2019
Serie CEUR Workshop Proceedings ; 2451
Schlagwörter Neural network; ontology; reusability; FAIR
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