Next Generation Search Interfaces – Interactive Data Exploration and Hypothesis Formulation

Abstract

Abstract. To date, the majority of Web search engines have provided simple keyword search interfaces that present the results as a ranked list of hyperlinks. More recently researchers have been investigating interactive, graphical and multimedia approaches which use ontologies to model the knowledge space. Such systems use the semantic relationships to structure the assimilated search results into interactive semantic graphs or hypermedia presentations which enable the user to quickly and easily explore the results and detect previously unrecognized associations. More recently, the proliferation of eResearch communities has led to a demand for search interfaces which automate the discovery, analysis and assimilation of multiple information sources in order to prove or disprove a particular scientific theory or hypothesis. We believe that such semiautomated analysis, assimilation and hypothesis-driven approaches represent the next generation of search engines. In this paper we describe and evaluate such a search interface which we have developed for a particular eScience application.

Digital libraries

“…Of course, digital libraries do not pose unique interface challenges (Hunter, Falkovych, & Little, 2004). Even when articles on interface design directly reference digital libraries, they are not the only application: For example, advice on page icons for digital library catalogs applies equally to other interfaces displaying page icons (Janssen, 2004).…”

Context aware guidance for multimedia authoring: harmonizing domain and discourse knowledge

“…Established work closest to our work has been carried out by Bailey [4], Gibbins [12] and Hunter [16].…”

“…The FUSION system [16] investigates various approaches to facilitating data exploration by allowing user involvement in a directed browsing process. The system also supports the process of multimedia presentation building by allowing a user to define a sequencing of a particular parameter in numeric data and different presentation formats and modes.…”

Une perspective analytique pour la recherche d'information. Application : conception et évaluation de Tissue Microarrays

“…?4+:E67ED24FC68B4ABB5,445694AC5694564397AED 56437694+1376C?7ED4/6AC59441?/,4+D6D967 4FC68B4ABBE, 4/2E94B69 AC569 4 9*2AA2BC6DA 4 6 4 8 4 327E963 4 7*63A 4 56 4 B27E92AED DB6992E36 4 8 4 72 397AED4543764FE49*2364ED5E96D927645947394F6456429A694692B69 ED32AEDD67949DA4BD9E539 4!69497AED9484B64376466DA43A2DA4"A36 A36946D49*ED9E32DA45694A6BCDEF6945646BC63BC645D32AED 4 FD 4 B726 4 569 4 56 4 23BC69 4 2 4 96ED 4 56 4 B6 4 FE 4 332EA 4 "A36 4 267 346BC63BC645D32AED40D27AEF644469A45DB439452D94B6A423AEB76 4Guelques tentatives dans ce sens sont déjà décrites dans la littérature. Par exemple, un moteur de recherche qui permet l'interaction de chercheurs avec une base de données expérimentale est présenté dans (Hunter, 2004). Ce système orienté hypothèse combine exploration, intégration, recherche et inférence sur les données.…”