Visual Information retrieval for the WWW (original) (raw)

Visual information retrieval for the web

2001

paper we present the conception and the evaluation of a visual information retrieval system for the Web. Our work has been motivated by the lack of good user interfaces assisting the user in searching the Web. The selected visualisations and the reasons why they have been chosen are explained in detail. An evaluation of these visualisa- tions as an add-on to the traditional result list is presented.

A visual information seeking system for Web search

2001

In this paper we present the conception and the evaluation of a visual information seeking system for the Web. Our work has been motivated by the lack of good user interfaces assisting the user in searching the Web. The selected visualisations and why they have been chosen are explained in detail. A focus of this paper is on the evaluation of these visualisations as an add-on to the traditional result list presentation.

INSYDER: a content-based visual-information-seeking system for the Web

International Journal on Digital Libraries, 2005

This paper presents INSYDER, a content-based visual-information-seeking system for the Web. The Web can be seen as one huge digital library offering a variety of very useful information for business analysts. INSYDER addresses these possibilities and offers powerful retrieval and visualisation functionalities. The main focus during the development was on the usability of the system. Therefore, a variety of well-established visualisation components were employed to support the user during the information-seeking process (e.g. visual query, result table, bar graph, segment view with tile bars, and scatterplot). Also, the retrieval aspects were developed with the goal of increasing the usability of the system (e.g. natural language search, content-based classification, relevance feedback). Extensive evaluations of the retrieval performance and the usability of the visualisation were conducted. The results of these evaluations offered many helpful insights into developing a new visual-information-seeking system called VisMeB.

Towards visual web search: Interactive query formulation and search result visualization

WSSP. Madrid, Spain, 2009

Search on today's Web is influenced by the early Web that was primarily text-based: search parameters are typically entered as text queries and the resulting resources are mostly displayed as textual lists. To gain an overview of the information space and the retrieved resources, the information seeker has to issue several search queries and skim many search results. In this paper we show how visualization widgets (VisGets) are a viable way to query and visualize multiple types of Web data. We have applied VisGets to three prominent resource types on the Web-hypertext, syndicated content, and Semantic Web data-and discuss the limitations of the VisGets prototype and the challenges of this approach.

A FRAMEWORK FOR VISUAL INFORMATION RETRIEVAL ON THE WEB

Citeseer

Today on the Internet there is a wide variety of text based search engines, however the same is not true for searching visual information placed in Internet Web pages. There is increased activity and research for querying such databases especially for content based visual querying. The heterogeneous, distributed and transient nature of visual information, lack of interoperable retrieval systems and the limited bandwidth of Web environment presents bottlenecks for such efforts. In this study the difficulties of visual information retrieval on the Web are highlighted and a visual information retrieval system in such an environment is presented.

Evaluating the effectiveness of visual user interfaces for information retrieval

International Journal of Human-Computer …, 2000

An integrated visual thesaurus and result browser to support information retrieval was designed using a task model of information searching. The system provided a hierarchical thesaurus with a results cluster display representing similarity between retrieved documents and relevance ranking using a bullseye metaphor. LSI (Latent Semantic Indexing) was used as the retrieval engine and to calculate the similarity between documents. The design was tested with two information retrieval tasks. User behaviour, performance and attitude were recorded as well as usability problems. The system had few usability problems and users liked the visualisations, but recall performance was poor. The reasons for poor/good performance were investigated by examining user behaviour and search strategies. Better searchers used the visualisations more effectively and spent longer on the task, whereas poorer performances were attributable to poor motivation, difficulty in assessing article relevance and poor use of system visualisations. Furthermore, the bullseye display appeared to encourage limited evaluation of article relevance on titles, leading to poor performance. The bullseye display metaphor for article relevance was understood by users; however, they were confused by the concept of similarity searching expressed as visual clusters. The conclusions from the study are that while visual user interfaces for information searching might seem to be usable, they may not actually improve performance. Extensive training and advisor facilities to propose effective search strategies need to be incorporated with visual information retrieval systems.

Case Study: A Combined Visualization Approach for WWW-Search Results

1999

The idea of Information Visualization is to get insights into great amounts of abstract data. Especially document sets found by searching the World Wide Web are a sp ecial challenge. The paper gives a short overview on the variety of possible visualizations for this application area. Crucial factors for the success of visualization s are discussed. A combined approach is presented to use alternative simple visualizations, grouped around the traditional result-list, for usage with a local meta web search engine.