01859nas a2200217   4500008004100000245006500041210006500106260000900171300001200180490000600192520116800198653002701366653002601393653002601419653001801445100001701463700001401480700001701494700001301511856011701524       2009                        eng d00aDesign and development of a Query Graph Visualization system0 aDesign and development of a Query Graph Visualization system  c2009  a21 - 290 v73 aCollaborative querying is a technique that harnesses the collective search experiences of users to assist in query formulation. We present the Query Graph Visualizer (QGV), a visual collaborative querying system that recommends related queries to a user's submitted query through a network visualization scheme. Users are able to explore the query network and select queries for execution on an information retrieval (IR) system. the QGV is not meant to be a replacement for IR systems but as a value-added module to help users search more effectively. Consequently, the QGV is not an IR system but works in tandem with existing IR systems. the design of the QGV is discussed, focusing on its architecture, the interaction between the QGV's main components and the implementation of the user interface. An evaluation of the QGV was also conducted to assess the performance of the system against to a conventional search engine. Results indicate that the evaluators who used the QGV completed their tasks much faster compared to those using a search engine alone. A usability evaluation also showed that the system complied with standard user interface heuristics.10aCollaborative querying10aInformation retrieval10aQuery Graph Visualize10aQuery network1 aGoh, D.H.-L.1 aLee, C.S.1 aChua, A.Y.K.1 aLuyt, B.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-70350660828&partnerID=40&md5=33ccaf28cf0dad32e0b47d01f84a8707