摘要谷歌知识图谱技术近年来引起了广泛关注, 由于公开披露的技术资料较少,
使人一时难以看清该技术的内涵和价值. 从知识图谱的定义和技术架构出发 …

Entity alignment is the task of finding entities in two knowledge bases (KBs) that represent
the same real-world object. When facing KBs in different natural languages, conventional …

Cross-lingual Entity Alignment (CEA) aims at identifying entities with their counterparts in
different language knowledge graphs. Knowledge embedding alignment plays an important …

Wikipedia becomes one of the largest knowledge bases on the Web. It has attracted 513
million page views per day in January 2012. However, one critical issue for Wikipedia is that …

Ontology matching is an integral part for establishing semantic interoperability. One of the
main challenges within the ontology matching operation is semantic heterogeneity, ie …

In this paper we present the MultiFarm dataset, which has been designed as a benchmark
for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies …

The amount of multilingual data on the Web proliferates; therefore, developing ontologies in
various natural languages is attracting considerable attention. In order to achieve semantic …

Abstract The Entity Linking (EL) task identifies entity mentions in a text corpus and
associates them with corresponding entities in a given knowledge base. While traditional EL …

Ontology matching is one of the key solutions for solving the heterogeneity problem in the
Semantic Web. Nowadays, the increasing amount of multilingual data on the Web and the …

Interoperability is a feature required by the Semantic Web. It is provided by the ontology
matching methods and algorithms. But now ontologies are presented not only in English, but …