Visual Exploratory Search Of Relationship Graphs On Screen Limited Smartphones

Facing the explosion of information and knowledge, people are eager to search what hewant by selecting, browsing with trial and error strategy in the process of informationretrieval. With some information displayed people could revise information need during theprocess of information retrieval. That is composed of three major components: inference andrepresentation of semantic relationship graphs on the Web via meta-search, visual exploratorysearch of relationship graphs through both querying and browsing strategies, andhuman-computer interactions via the multi-touch interface and mobile Internet onsmartphones.There are three innovations in this paper.1) It infers rich semantic relationships between the querying keywords and other relatedconcepts from large-scale meta-search results from Google, Yahoo! and Bing searchengines, and represents semantic relationships via graphs; the exploratory searchapproach empowers users to naturally and effectively explore, adventure and discoverknowledge in a rich information world of interlinked relationship graphs in apersonalized fashion; it effectively takes the advantages of smartphones’ user-friendlyinterfaces and ubiquitous Internet connection and portability.2) There are limits to display big graph in the intelligent device screen such as iPhone.This paper design a display and interaction method which support to display big graphon small screen.3) This paper develops a knowledge-based search engine prototype system. Firstly, Thispaper proposes an scalable parallel relation extract method, then builds a scalableknowledge with the relation extract method.