Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Petar Ristoski"'
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Autor:
Petar Ristoski, Aritra Mandal, Simon Becker, Anu Mandalam, Ethan Hart, Sanjika Hewavitharana, Zhe Wu, Qunzhi Zhou
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Autor:
Axel Schulz, Petar Ristoski
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 7:11-14
Microblogs are increasingly gaining attention as an important information source in emergency management. In this case, state-of-the-art has shown that many valuable situational information is shared by citizens and official sources. However, current
Publikováno v:
Proceedings of the Annual Hawaii International Conference on System Sciences.
Publikováno v:
K-CAP
Entity linking is a fundamental task for a successful use of knowledge graphs in many information systems. It maps textual mentions to their corresponding entities in a given knowledge graph. However, with the rapid evolution of knowledge graphs, a l
Autor:
Anna Lisa Gentile, Ismini Lourentzou, Alfredo Alba, Steve Welch, Muntasir Wahed, Daniel Gruhl, Petar Ristoski, Deluca Chad
Publikováno v:
CIKM
Recent advances in text representation have shown that training on large amounts of text is crucial for natural language understanding. However, models trained without predefined notions of topical interest typically require careful fine-tuning when
Autor:
Pieter Bonte, Heiko Paulheim, Bram Steenwinckel, Filip De Turck, Michael Weyns, Gilles Vandewiele, Petar Ristoski, Femke Ongenae
Publikováno v:
DATABASE AND EXPERT SYSTEMS APPLICATIONS-DEXA 2021 WORKSHOPS
Communications in Computer and Information Science ISBN: 9783030871000
DEXA Workshops
Communications in Computer and Information Science ISBN: 9783030871000
DEXA Workshops
As KGs are symbolic constructs, specialized techniques have to be applied in order to make them compatible with data mining techniques. RDF2Vec is an unsupervised technique that can create task-agnostic numerical representations of the nodes in a KG
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d3f38a6f506d1e6e0c579d5f4ea2e38
https://hdl.handle.net/1854/LU-8724157
https://hdl.handle.net/1854/LU-8724157
Autor:
Pierre-Antoine Champin, Heiko Paulheim, Mehwish Alam, Katja Hose, Maria Maleshkova, Petar Ristoski, Oscar Corcho, Ruben Verborgh
Publikováno v:
Verborgh, R, Hose, K, Paulheim, H, Champin, P A, Maleshkova, M, Corcho, O, Ristoski, P & Alam, M (eds) 2021, The Semantic Web-18th International Conference, ESWC 2021, Virtual Event, June 6-10, 2021, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. 12731, Subseries: Information Systems and Applications, incl. Internet/Web, and HCI, Springer . https://doi.org/10.1007/978-3-030-77385-4
Lecture Notes in Computer Science ISBN: 9783030773847
Lecture Notes in Computer Science ISBN: 9783030773847
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ef6fd8d45640b17d4af50e00792e507
https://vbn.aau.dk/da/publications/e4f8b6c8-e20c-41f8-9447-c62acc32f0c9
https://vbn.aau.dk/da/publications/e4f8b6c8-e20c-41f8-9447-c62acc32f0c9
This book explains the ideas behind one of the most well-known methods for knowledge graph embedding of transformations to compute vector representations from a graph, known as RDF2vec. The authors describe its usage in practice, from reusing pre-tra