Toward a Parsimonious Architecture for Intelligent Organizational Information Systems

An architecture for intelligent organizational information systems is proposed which consists of three functions: processing, communicating, and memory--any or all of which may be performed by either humans or computers. Processing occurs on a set of communicating processors with access to memory, and is defined as having three sub-functions: sensing, interpreting, and acting. The communicating and memory functions are seen to have certain basic characteristics whether described in terms from human organization or computer organization literature. The architecture may prove a useful guide for future research which begins to consider intelligent organizational information systems with increasingly synergistic roles played by humans and computers

Towards hypermedia support in database systems

The general goal of our research is to automatically generate links and other hypermedia related services to analytical applications. Using a dynamic hypermedia engine (DHE), the following features have been automated for database systems. Based on the database\u27s relational (physical) schema and its original (non-normalized) entity-relationship specification links are generated, database application developers may also specify the relationship between different classes of database elements. These elements can be controlled by the same or different database application, or even by another software system. A DHE prototype has been developed and illustrates the above for a relational database management system. The DHE is the only approach to automated linking that specializes in adding a hyperlinks automatically to analytical applications that generate their displays dynamically (e.g., as the result of a user query). The DHE\u27s linking is based on the structure of the application, not keyword search or lexical analysis based on the display values within its screens and documents. The DHE aims to provide hypermedia functionality without altering applications by building application wrappers as an intermediary between the applications and the engine

Encapsulation and information hiding as the keys to maintainable and reusable hypermedia applications.

This paper presents a solution to the maintenance problem in hypermedia by applying object-oriented techniques to both the hypermedia data model and the hypermedia system's actual implementation. First, the primary concepts of the 'MESH' (Maintainable, End user friendly, Structured Hypermedia) approach are discussed briefly. These consist of a conceptual data model, a navigation paradigm and an implementation framework. Thereafter, it is shown how the object-oriented concepts of encapsulation and information hiding result in a hypermedia system consisting of self-contained, independently coded nodes. Intra node maintenance is separated entirely from inter node maintenance: the hyperbase's link structure can be updated without affecting node content, whereas an individual node's multimedia content can be reorganized without necessitating updates to links or link anchors.Applications; Information; Data; Model; Structure;

Personalization via collaboration in web retrieval systems: a context based approach

World Wide Web is a source of information, and searches on the Web can be analyzed to detect patterns in Web users' search behaviors and information needs to effectively handle the users' subsequent needs. The rationale is that the information need of a user at a particular time point occurs in a particular context, and queries are derived from that need. In this paper, we discuss an extension of our personalization approach that was originally developed for a traditional bibliographic retrieval system but has been adapted and extended with a collaborative model for the Web retrieval environment. We start with a brief introduction of our personalization approach in a traditional information retrieval system. Then, based on the differences in the nature of documents, users and search tasks between traditional and Web retrieval environments, we describe our extensions of integrating collaboration in personalization in the Web retrieval environment. The architecture for the extension integrates machine learning techniques for the purpose of better modeling users' search tasks. Finally, a user-oriented evaluation of Web-based adaptive retrieval systems is presented as an important aspect of the overall strategy for personalization

Legal research in a changing information environment

Since the advent of the latest constitutional dispensation in South Africa, legalresearchers have been presented with new opportunities for research intoconstitutional issues, development and the relationship between constitutionallaw and other fields. This article investigates how information technologyapplications can support the legal research process and what the benefits oftechnology are likely to be to legal research. Furthermore, it investigates thechanges and the impact that electronic resources and the digital informationenvironment might have on legal research. This entails a study of the uniquecharacteristics of digital legal research and of the challenges that legalresearchers face in a changing information environment