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 …

Abstract Information on the Internet is fragmented and presented in different data sources,
which makes automatic knowledge harvesting and understanding formidable for machines …

With the rapid development and popularization of Internet and mobile communication
technologies, text data mining has attracted much attention. In particular, with the wide use …

Entity Linking (EL) is the task of linking name mentions in Web text with their referent entities
in a knowledge base. Traditional EL methods usually link name mentions in a document by …

Integrating the extracted facts with an existing knowledge base has raised an urgent need to
address the problem of entity linking. Specifically, entity linking is the task to link the entity …

Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other
networking sites, the social media shared by users and the associated metadata are …

Name ambiguity problem has raised an urgent demand for efficient, high-quality named
entity disambiguation methods. The key problem of named entity disambiguation is to …

Linking entities with knowledge base (entity linking) is a key issue in bridging the textual
data with the structural knowledge base. Due to the name variation problem and the name …

Current food traceability systems have a number of problems, such as data being easily
tampered with and a lack of effective methods to intuitively analyze the causes of risks …

This paper address the problem of entity linking. Specifically, given an entity mentioned in
unstructured texts, the task is to link this entity with an entry stored in the existing knowledge …