Amid the rapid growth of information today is the increasing challenge for people to survive and navigate its magnitude. Dynamics and heterogeneity of large information spaces such as the Web challenge information retrieval in these environments. Collection of information in advance and centralization of IR operations are hardly possible because…

Purpose: The purpose of this paper is to make a scientific contribution to web information retrieval (IR). Design/methodology/approach: A multiagent system for web IR is proposed based on new technologies: Hierarchical Small-Worlds (HSW) and Possibilistic Networks (PN). This system is based on a possibilistic qualitative approach which extends the…

With the advent of the World Wide Web, many business applications that utilize data mining and text mining techniques to extract useful business information on the Web have evolved from Web searching to Web mining. It is important for students to acquire knowledge and hands-on experience in Web mining during their education in information systems…

Investigates how to improve the performance of an Arabic Information Retrieval System (Arabic-IRS) by imposing the retrieval method, Mixed Stemming, over individual words of a query depending on the importance of the word, the stem or the root of the query terms in the database. This method computes term importance using a Term Frequency and…

Focuses on human behavior in the information-seeking process, and identifies behaviors influencing the design of information retrieval system interfaces. Discusses the principles of saturation, concreteness, least resistance, familiarity, stimulation, certainty, simplicity, and following-form. (PEN)

Uses a simple model of an information retrieval (IR) technology to examine performance measures for IR systems. Shows that, if a user is employing a system optimally, then reasonable performance measures will tend to be relatively robust, or insensitive, to small variations in assumptions about the user's behavior. (AEF)

End user searching on the Web has become the primary method of locating images for many people. This study investigates the nature of Web image queries by attempting to map them to known image classification schemes. In this study, approximately 100,000 image queries from a major Web search engine were collected in 1997, 1999, and 2001. A…

Presents a framework for modeling the content of information objects such as documents and video programs based on observation of how users interact with those objects in the course of information seeking and use. Identifies four categories of potentially observable user behaviors: examination, retention, reference, and annotation. (AEF)

Describes the design and implementation of a prototype visualization system, AuthorLink, to enhance author searching. AuthorLink is based on author co-citation analysis and visualization mapping algorithms. AuthorLink produces interactive author maps in real time from a database of 1.26 million records supplied by the Institute for Scientific…

Describes a method of full-text scanning for matches in a large dictionary. The method is suitable for selective dissemination of information systems, accommodating large dictionaries and typical digital data rates. It can be implemented on a single commercially-available board hosted by a personal computer or entirely in software. (Author/AEF)

Reviews the characteristics of the Cheshire II system that is being used to implement full-text and fielded searching of bibliographic information for the University of California Berkeley Digital Library Initiative. Examines its performance when applied to a collection of large full-text documents in the TREC Interactive Retrieval Track and its…

Reports results of a study investigating effects of four user characteristics on users' mental models of information retrieval (IR) systems. Findings indicated that educational and professional status, academic background, and computer experience had significant effects in differentiating users on their factor scores. First language had a…

Describes a novel design of a Table Browser for casual users of statistical data. Focuses on the overall system architecture and the user interface. Describes the prototype interface and presents results of experiments testing the efficacy of the multi-threaded data flow. (AEF)

Two studies of the cognitive processes involved in online document-based information retrieval were conducted. These studies led to the development of five computational models of online document retrieval which were incorporated into the design of an "intelligent" document-based retrieval system. Both the system and the broader implications of…

This study investigates the nature, manifestations, and behavior of successive searching by users in digital environments, and establishes criteria for use in the design of information-retrieval interfaces and systems supporting successive-searching behavior. Study includes two projects--one based at the University of North Texas, one at the…