• DocumentCode
    162493
  • Title

    FKG.js: A Plug-in Based on Freebase for a Knowledge Card Service

  • Author

    Qi Huang ; Jing Zhou ; Zhongzhi Shi ; Wei Yan

  • Author_Institution
    Sch. of Comput. Sci. Commun., Univ. of China, Beijing, China
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    124
  • Lastpage
    127
  • Abstract
    For better understanding user information needs, Google proposed the Knowledge Graph as supplements to the results returned by its search engine. Many search engines have also developed their own knowledge graph services. However, although there are many freely accessible structured datasets, such as Freebase, developers have to build the knowledge graph from scratch without any support from open source initiatives. Recently, in our preliminary work, we were trying to develop an open source Java Script plug-in, namely FKG.js (Free Knowledge Graph), for HTML5-based applications to easily extend their potential knowledge graph modules. In the plug-in, we also provided a visualization solution using freely accessible structured datasets from the Internet. In addition, we managed to propose server-side APIs for collecting user behavior patterns in order to optimize the display of the knowledge graph.
  • Keywords
    Internet; Java; application program interfaces; data visualisation; graphs; hypermedia markup languages; information needs; public domain software; search engines; FKG.js; Google; HTML5-based applications; Internet; free knowledge graph; freely accessible structured datasets; information needs; knowledge graph services; open source JavaScript plug-in; search engine; server-side API; user behavior patterns; visualization solution; Data mining; Educational institutions; Feature extraction; Google; Motion pictures; Optimization; Servers; JavaScript; Knowledge Graph; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grids (SKG), 2014 10th International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/SKG.2014.19
  • Filename
    6964676