Linked Open Data, Web crawling

Huang, Hai ORCID: https://orcid.org/0000-0003-1412-0567 and Gandon, Fabien (2019) Learning URI selection criteria to improve the crawling of linked open data. In: The Semantic Web: 16th International Conference, ESWC 2019, Portorož, Slovenia, June 2–6, 2019, Proceedings. Lecture Notes in Computer Science, 11503 . Springer, Cham, Switzerland, pp. 194-208. ISBN 978-3030213473 ISSN 0302-9743 (Print), 1611-3349 (Online) (doi:10.1007/978-3-030-21348-0_13)

linked RDF data; crawling; FTRL

Huang, Hai ORCID: https://orcid.org/0000-0003-1412-0567 and Gandon, Fabien (2021) Learning URI selection criteria to improve the crawling of linked open data (extended abstract). In: JCAI'20: Twenty-Ninth International Joint Conference on Artificial Intelligence Yokohama Yokohama, Japan January 7 - 15, 2021. International Joint Conferences on Artificial Intelligence, Yokohama, Japan, pp. 4730-4734. ISBN 978-0999241165 (doi:10.24963/ijcai.2020/655)

query suggestion, query reformulation and keyword recommendation

Huang, Hai ORCID: https://orcid.org/0000-0003-1412-0567, Chen, Zonghai, Liu, Chengfei, Huang, He and Zhang, Xiangliang (2016) An effective suggestion method for keyword search of databases. World Wide Web, 20 (4). pp. 729-747. ISSN 1386-145X (Print), 1573-1413 (Online) (doi:10.1007/s11280-016-0413-1)