Although search over World Wide Web pages has recently received much academic and commercial attention, surprisingly little research has been done on how to search the web pages within large, diverse intranets. Intranets contain the information associated with the internal workings of an organization. A standard search engine retrieves web pages that fall within a widely diverse range of information contexts, but presents these results uniformly, in a ranked list. As an alternative, the Cha-Cha system organizes web search results in such a way as to reflect the underlying structure of the intranet. In our approach, an “outline ” or “table of contents ” is created by first recording the shortest paths in hyperlinks from root pages to every page within the web intranet. After the user issues a query, these shortest paths are dynamically combined to form a hierarchical outline of the context in which the search results occur. The system is designed to be helpful for users with a wide range of computer skills. Preliminary user study and survey results suggest that some users find the resulting structure more helpful than the standard retrieval results display for intranet search. 1

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Information retrieval, global visualisation, 3D representation, multidimensional visualisation and analysis This paper presents a novel user interface that provides global visualisations of large document sets in order to help users to formulate the query that corresponds to their information needs and to access the corresponding documents. An important element of the approach we introduce is the use of concept hierarchies (CHs) in order to structure the document collection. Each CH corresponds to a facet of the documents users can be interested in. Users browse these CHs in order to specify and refine their information needs. Additionally the interface is based on OLAP principles and multi-dimensional analysis operators are provided to users in order to allow them to explore a document collection. 1 KEY-WORDS DocCube: multi-dimensional analysis of documents Information retrieval, global visualisation, 3D representation, multidimensional analysis 1.

A key to the Web's success is the power of search. The elegant way in which search results are returned is usually remarkably effective. However, for exploratory search in which users need to learn, discover, and understand novel or complex topics, there is substantial room for improvement. Human computer interaction researchers and web browser designers have developed novel strategies to improve Web search by enabling users to conveniently visualize, manipulate, and organize their Web search results. This monograph offers fresh ways to think about search-related cognitive processes and describes innovative design approaches to browsers and related tools. For instance, while key word search presents users with results for specific information (e.g., what is the capitol of Peru), other methods may let users see and explore the contexts of their requests for information (related or previous work, conflicting information), or the properties that associate groups of information assets (group legal decisions by lead attorney).

guidelines for categorized overviews

This paper introduces a new interface that integrates document mining. A key point is the co-operation of different modules with which the user interacts in order to visualise in a global way a document set. This visualisation is done according to different point of views, given by the different document dimensions. The graphical visualisations are animated and 4-Dimensional. The general mining process follows the framework of a Knowledge Discovery in Databases process. We present the several phases implied by document mining and show how this technique can be used based on a document set.

Time is an important dimension of any information space and can be very useful in information retrieval tasks such as document exploration, similarity search, and clustering. As search applications keep gathering new and diverse information sources, presenting relevant information anchored in time becomes more important for exploration purposes. Temporal information is available in every document either explicitly, e.g., in the form of temporal expressions, or implicitly in the form of metadata. Recognizing such information and exploiting it for document retrieval and presentation purposes are important features that can significantly improve the functionality of search applications. In this research, we introduce a temporal document analysis framework for analyzing document collections from a temporal perspective in support of diverse information retrieval and exploration tasks. Our analysis is not based on document

The hierarchical abstraction of a Web site is useful in organising information and reducing the number of alternatives that must be considered at any one time when browsing the site. We present such an abstraction, which is computed from a user’s query and a Web site. A Web site is viewed as a directed graph with Web nodes and Web arcs, where the Web nodes correspond to HTML files (i.e., Web pages) and the Web arcs correspond to hyperlinks. The abstraction is based on computing semantic weights for the hyperlinks within the site. We have developed a pilot system, called Anchor Woman, for displaying a map representing the abstraction of a Web site. This map helps a user to avoid the feeling of being “lost in space’ ’ and makes it easier for him/her to browse the site effectively and efficiently.