Effective online knowledge graph fusion

Haofen Wang*, Zhijia Fang, Le Zhang, Jeff Z. Pan, Tong Ruan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

20 Citations (Scopus)


Recently, Web search engines have empowered their search with knowledge graphs to satisfy increasing demands of complex information needs about entities. Each engine offers an online knowledge graph service to display highly relevant information about the query entity in form of a structured summary called knowledge card. The cards from different engines might be complementary. Therefore, it is necessary to fuse knowledge cards from these engines to get a comprehensive view. Such a problem can be considered as a new branch of ontology alignment, which is actually an on-the-fly online data fusion based on the users’ needs. In this paper, we present the first effort to work on knowledge cards fusion. We propose a novel probabilistic scoring algorithm for card disambiguation to select the most likely entity a card should refer to. We then design a learning-based method to align properties from cards representing the same entity. Finally, we perform value deduplication to group equivalent values of the aligned properties as value clusters. The experimental results show that our approach outperforms the state of the art ontology alignment algorithms in terms of precision and recall.

Original languageEnglish
Title of host publicationThe Semantic Web – ISWC 2015 - 14th International Semantic Web Conference, Proceedings
Number of pages17
ISBN (Print)9783319250069
Publication statusPublished - 2015
Event14th International Semantic Web Conference, ISWC 2015 - Bethlehem, United States
Duration: 11 Oct 201515 Oct 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


Conference14th International Semantic Web Conference, ISWC 2015
Country/TerritoryUnited States


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