LODeDeC: A Framework for Integration of Entity Relations from Knowledge Graphs


Govindapillai, Sini and Soon, Lay Ki and Haw, Su Cheng (2020) LODeDeC: A Framework for Integration of Entity Relations from Knowledge Graphs. In: Information Retrieval Technology. Lecture Notes in Computer Science (12004). Springer Nature, pp. 195-201. ISBN Print ISBN 978-3-030-42834-1, 978-3-030-42835-8

Full text not available from this repository.


Large knowledge graphs (KGs), which are part of Linked Open Data (LOD) serve as the primary source for retrieving structured data in many Semantic Web applications. In order for machines to efficiently process the data for different data mining, entity linking and information retrieval tasks, it is always beneficial to have as many reliable facts from KGs as possible. But none of the KGs is complete on its own with respect to the number of relations describing an entity. Moreover, large KGs like DBpedia, YAGO and Wikidata appear similar in nature, but do not fully merge in terms relations of the entities from different domains. The complementary nature of different KGs can be utilized to expand the coverage of relations of the an entity. In order to achieve this, a framework for integration of entity information from different KGs using LOD, semantic similarity approaches and RDF reification is proposed in this paper.

Item Type: Book Section
Uncontrolled Keywords: Linked data, Knowledge Graphs, Entity information integration, Linked Open Data
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 08 Dec 2020 17:03
Last Modified: 08 Dec 2020 17:03
URII: http://shdl.mmu.edu.my/id/eprint/7797


Downloads per month over past year

View ItemEdit (login required)