Issue No.09 - Sept. (2012 vol.18)
B. Froehlich , Virtual Reality Syst. Group, Bauhaus-Univ. Weimar, Weimar, Germany
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.96
The WORDGRAPH helps writers in visually choosing phrases while writing a text. It checks for the commonness of phrases and allows for the retrieval of alternatives by means of wildcard queries. To support such queries, we implement a scalable retrieval engine, which returns high-quality results within milliseconds using a probabilistic retrieval strategy. The results are displayed as WORDGRAPH visualization or as a textual list. The graphical interface provides an effective means for interactive exploration of search results using filter techniques, query expansion, and navigation. Our observations indicate that, of three investigated retrieval tasks, the textual interface is sufficient for the phrase verification task, wherein both interfaces support context-sensitive word choice, and the WORDGRAPH best supports the exploration of a phrase's context or the underlying corpus. Our user study confirms these observations and shows that WORDGRAPH is generally the preferred interface over the textual result list for queries containing multiple wildcards.
probability, data visualisation, information retrieval, underlying corpus, WORDGRAPH, keyword-in-context visualization, NETSPEAK wildcard search, visually choosing phrases, wildcard queries, scalable retrieval engine, probabilistic retrieval strategy, graphical interface, interactive exploration, filter techniques, query expansion, query navigation, phrase context, Visualization, Google, Navigation, Engines, Layout, Indexes, wildcard search., Information visualization, visual queries, text visualization, information retrieval, Web n-grams
B. Froehlich, "WORDGRAPH: Keyword-in-Context Visualization for NETSPEAK's Wildcard Search", IEEE Transactions on Visualization & Computer Graphics, vol.18, no. 9, pp. 1411-1423, Sept. 2012, doi:10.1109/TVCG.2012.96