Time-Aware Entity Search in DBpedia

被引：0

作者：

Zhang, Lei ^{[1
]}

Chen, Wentao ^{[1
]}

Thanh Tran ^{[2
]}

Rettinger, Achim ^{[1
]}

机构：

[1] Karlsruhe Inst Technol, Inst AIFB, D-76021 Karlsruhe, Germany

[2] San Jose State Univ, San Jose, CA 95192 USA

来源：

SEMANTIC WEB: ESWC 2015 SATELLITE EVENTS | 2015年 / 9341卷

关键词：

D O I：

10.1007/978-3-319-25639-9_34

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Searching for entities is a common user activity on the Web. There is an increasing effort in developing entity search techniques in the research community. Existing approaches are usually based on static measures that do not reflect the time-awareness, which is a factor that should be taken into account in entity search. In this paper, we propose a novel approach to time-aware entity search in DBpedia, which takes into account both popularity and temporality of entities. The experimental results show that our approach can significantly improve the performance of entity search with temporal focus compared with the baselines.

引用

页码：175 / 179

页数：5