Taming news streams with linked data

Author

Ingvaldsen, Jon Espen ; Gulla, Jon Atle

Author_Institution

Dept. of Comput. & Inf. Sci., Norwegian Univ. of Sci. & Technol., Trondheim, Norway

fYear

2015

fDate

13-15 May 2015

Firstpage

536

Lastpage

537

Abstract

The use of smartphones and tablets has increased significantly in the past years and changed the way we consume news. In this paper, we will describe a news stream aggregating system that automatically recognize and disambiguate geo spatial and meaning bearing entities in news text. The system utilizes the entity definitions and associations in WikiData and Geonames to build a semantic representation of the underlying news text. Its mobile user interface allows users to explore news story clusters on an interactive map and retrieve local news streams for any region of the world.

Keywords

Web sites; information resources; mobile computing; notebook computers; smart phones; user interfaces; Geonames; WikiData; geo spatial entities; interactive map; linked data; meaning bearing entities; mobile user interface; news story clusters; news stream aggregating system; news streams; news text; smartphones; tablets; Internet; Knowledge based systems; Mobile communication; Pipelines; Recommender systems; Semantics; User interfaces; Recommender system; mobile; named entity disambiguation; natural language processing; news;

fLanguage

English

Publisher

ieee

Conference_Titel

Research Challenges in Information Science (RCIS), 2015 IEEE 9th International Conference on

Conference_Location

Athens

Type

conf

DOI

10.1109/RCIS.2015.7128926

Filename

7128926