Triplifying equivalence set graphs

Autor: Asprino, Luigi, Beek, Wouter, Ciancarini, Paolo, van Harmelen, Frank, Presutti, Valentina, Suárez-Figueroa, Mari Carmen, Cheng, Gong, Gentile, Anna Lisa, Guéret, Christophe, Keet, Maria, Bernstein, Abraham

Publikováno v: ISWC 2019 Satellites: Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 26-30, 2019, 253-256
STARTPAGE=253;ENDPAGE=256;TITLE=ISWC 2019 Satellites

In order to conduct large-scale semantic analyses, it is necessary to calculate the deductive closure of very large hierarchical structures. Unfortunately, contemporary reasoners cannot be applied at this scale, unless they rely on expensive hardware

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::75b9410eb3f0e71ba4b8318e55d10af8
https://research.vu.nl/en/publications/d61224ba-26cc-49b3-afac-19b663ceaf3a

Report on the 2nd ACM SIGIR/SIGKDD Africa school on machine learning for data mining and search.

Autor: Berger-Wolf, Tanya¹ (AUTHOR) berger-wolf.1@osu.edu, Carterette, Ben² (AUTHOR) carteret@acm.org, Elsayed, Tamer³ (AUTHOR) telsayed@qu.edu.qa, Keet, Maria⁴ (AUTHOR) mkeet@cs.uct.ac.za, Sebastiani, Fabrizio⁵ (AUTHOR) fabrizio.sebastiani@isti.cnr.it, Suleman, Hussein⁴ (AUTHOR) hussein@cs.uct.ac.za

Publikováno v: SIGIR Forum. Jun2020, Vol. 54 Issue 1, p1-6. 6p.

FalCon: An entity and relation linking framework over dbpedia

Autor: Sakor, Ahmad, Singh, Kuldeep, Vidal, Maria-Esther, Suárez-Figueroa, Mari Carmen, Cheng, Gong, Gentile, Anna Lisa, Guéret, Christophe, Keet, Maria, Bernstein, Abraham

Publikováno v: Scopus-Elsevier
CEUR workshop proceedings ; 2456

We tackle the problem of entity and relation linking and present FALCON, a rule-based tool able to accurately map entities and relations in short texts to resources in a knowledge graph. FALCON resorts to fundamental principles of the English morphol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cd102c8407d353abc8087b23c96302f
http://www.scopus.com/inward/record.url?eid=2-s2.0-85073210548&partnerID=MN8TOARS

Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature

Autor: Angioni, Simone, Salatino, Angelo, Osborne, Francesco, Birukou, Aliaksandr, Reforgiato Recupero, Diego, Motta, Enrico

Publikováno v: The Semantic Web – ISWC 2022

Research publishing companies need to constantly monitor and compare scientific journals and conferences in order to inform critical business and editorial decisions. Semantic Web and Knowledge Graph technologies are natural solutions since they allo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::d0ce2a73544815682f66f1626e65c3af
http://oro.open.ac.uk/84363/1/ISWC_2022___In_Use___Dashboard_v__2.pdf

Leolani

Autor: Vossen, Piek, Baez, Selene, Bajčetić, Lenka, Bašić, Suzana, Kraaijeveld, Bram

Publikováno v: Vossen, P, Baez, S, Bajčetić, L, Bašić, S & Kraaijeveld, B 2019, Leolani : A robot that communicates and learns about the shared world . in M C Suárez-Figueroa, G Cheng, A L Gentile, C Guéret, M Keet & A Bernstein (eds), ISWC 2019 Satellites : Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 26-30, 2019 . CEUR Workshop Proceedings, vol. 2456, CEUR-WS, pp. 181-184, 2019 ISWC Satellite Tracks (Posters and Demonstrations, Industry, and Outrageous Ideas), ISWC 2019-Satellites, Auckland, New Zealand, 26/10/19 . < http://ceur-ws.org/Vol-2456/paper47.pdf >

People and robots make mistakes and should therefore recognize and communicate about their “imperfectness” when they collaborate. In previous work [3, 2], we described a female robot model Leolani(L) that supports open-domain learning through nat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a992395945a4986e1ba3fe8cd822c9c8
https://hdl.handle.net/1871.1/c521ddb2-5b66-4eac-8ebb-20e65abcef6e