On integrating hypermedia into decision support and other information systems

The goal of this research is to provide hypermedia functionality to all information systems that interact with people. Hypermedia is a concept involving access to information, embodying the notions of context-sensitive navigation, annotation and tailored presentation. This paper presents the architecture of a system-level hypermedia engine, designed both to manage full hypermedia functionality for an information system and to bind interface-oriented front-end systems with separate computation-oriented back-end systems. The engine dynamically superimposes a hypermedia representation over a back-end application's knowledge components and processes. The hypermedia engine generates this representation using bridge laws, which capture the internal structure of client systems. Users access the application through its hypermedia representation. The paper also describes a set of minimal requirements for integrating the hypermedia engine with an information system. These guidelines apply to all integration efforts, not just that described here. Information systems will require some supplementary routines for the engine to manage hypermedia functionality for them. The more sophisticated and cooperative the information system, the higher the level of hypermedia support the engine will provide.Information Systems Working Papers Serie

ON INTEGRATING HYPERMEDIA INTO DECISION SUPPORT AND OTHER INFORMATION SYSTEMS

The goal of this research is to provide hypermedia functionality to all information systems that interact with people. Hypermedia is a concept involving access to information, embodying the notions of context-sensitive navigation, annotation and tailored presentation. We present the architecture of a system-level hypermedia engine, designed both to manage full hypermedia functionality for an information system and to bind interface-oriented front-end systems with separate computation-oriented back-end systems. The engine dynamically superimposes a hypermedia representation over a back-end application's knowledge components and processes. The hypermedia engine generates this representation using bridge laws, which capture the internal structure of client systems. Users access the application through its hypermedia representation. We also describe a set of minimal requirements for integrating our hypermedia engine with an information system. We believe these guidelines apply to all integration efforts, not just our own. Information systems will require some supplementary routines for the engine to manage hypermedia functionality for them. The more sophisticated and cooperative the information system, the higher the level of hypermedia support the engine will provide.Information Systems Working Papers Serie

On integrating hypermedia into decision support and other information systems

The goal of this research is to provide hypermedia functionality to all information systems that interact with people. Hypermedia is a concept involving access to information, embodying the notions of context-sensitive navigation, annotation and tailored presentation. This paper presents the architecture of a system-level hypermedia engine, designed both to manage full hypermedia functionality for an information system and to bind interface-oriented front-end systems with separate computation-oriented back-end systems. The engine dynamically superimposes a hypermedia representation over a back-end application's knowledge components and processes. The hypermedia engine generates this representation using bridge laws, which capture the internal structure of client systems. Users access the application through its hypermedia representation. The paper also describes a set of minimal requirements for integrating the hypermedia engine with an information system. These guidelines apply to all integration efforts, not just that described here. Information systems will require some supplementary routines for the engine to manage hypermedia functionality for them. The more sophisticated and cooperative the information system, the higher the level of hypermedia support the engine will provide.Information Systems Working Papers Serie

ON INTEGRATING HYPERMEDIA INTO DECISION SUPPORT AND OTHER INFORMATION SYSTEMS

The goal of this research is to provide hypermedia functionality to all information systems that interact with people. Hypermedia is a concept involving access to information, embodying the notions of context-sensitive navigation, annotation and tailored presentation. We present the architecture of a system-level hypermedia engine, designed both to manage full hypermedia functionality for an information system and to bind interface-oriented front-end systems with separate computation-oriented back-end systems. The engine dynamically superimposes a hypermedia representation over a back-end application's knowledge components and processes. The hypermedia engine generates this representation using bridge laws, which capture the internal structure of client systems. Users access the application through its hypermedia representation. We also describe a set of minimal requirements for integrating our hypermedia engine with an information system. We believe these guidelines apply to all integration efforts, not just our own. Information systems will require some supplementary routines for the engine to manage hypermedia functionality for them. The more sophisticated and cooperative the information system, the higher the level of hypermedia support the engine will provide.Information Systems Working Papers Serie

Evaluation in a project life‐cycle: The hypermedia CAMILLE project

In the CAL literature, the issue of integrating evaluation into the life‐cycle of a project has often been recommended but less frequently reported, at least for large‐scale hypermedia environments. Indeed, CAL developers face a difficult problem because effective evaluation needs to satisfy the potentially conflicting demands of a variety of audiences (teachers, administrators, the research community, sponsors, etc.). This paper first examines some of the various forms of evaluation adopted by different kinds of audiences. It then reports on evaluations, formative as well as summative, set up by the European CAMILLE project teams in four countries during a large‐scale courseware development project. It stresses the advantages, despite drawbacks and pitfalls, for CAL developers to systematically undertake evaluation. Lastly, it points out some general outcomes concerning learning issues of interest to teachers, trainers and educational advisers. These include topics such as the impact of multimedia, of learner variability and learner autonomy on the effectiveness of learning with respect to language skills

Adaptive hypermedia for education and training

Adaptive hypermedia (AH) is an alternative to the traditional, one-size-fits-all approach in the development of hypermedia systems. AH systems build a model of the goals, preferences, and knowledge of each individual user; this model is used throughout the interaction with the user to adapt to the needs of that particular user (Brusilovsky, 1996b). For example, a student in an adaptive educational hypermedia system will be given a presentation that is adapted specifically to his or her knowledge of the subject (De Bra & Calvi, 1998; Hothi, Hall, & Sly, 2000) as well as a suggested set of the most relevant links to proceed further (Brusilovsky, Eklund, & Schwarz, 1998; Kavcic, 2004). An adaptive electronic encyclopedia will personalize the content of an article to augment the user's existing knowledge and interests (Bontcheva & Wilks, 2005; Milosavljevic, 1997). A museum guide will adapt the presentation about every visited object to the user's individual path through the museum (Oberlander et al., 1998; Stock et al., 2007). Adaptive hypermedia belongs to the class of user-adaptive systems (Schneider-Hufschmidt, Kühme, & Malinowski, 1993). A distinctive feature of an adaptive system is an explicit user model that represents user knowledge, goals, and interests, as well as other features that enable the system to adapt to different users with their own specific set of goals. An adaptive system collects data for the user model from various sources that can include implicitly observing user interaction and explicitly requesting direct input from the user. The user model is applied to provide an adaptation effect, that is, tailor interaction to different users in the same context. In different kinds of adaptive systems, adaptation effects could vary greatly. In AH systems, it is limited to three major adaptation technologies: adaptive content selection, adaptive navigation support, and adaptive presentation. The first of these three technologies comes from the fields of adaptive information retrieval (IR) and intelligent tutoring systems (ITS). When the user searches for information, the system adaptively selects and prioritizes the most relevant items (Brajnik, Guida, & Tasso, 1987; Brusilovsky, 1992b)

Integrating case-based reasoning and hypermedia documentation: an application for the diagnosis of a welding robot at Odense steel shipyard

Reliable and effective maintenance support is a vital consideration for the management within today's manufacturing environment. This paper discusses the development of a maintenance system for the world's largest robot welding facility. The development system combines a case-based reasoning approach for diagnosis with context information, as electronic on-line manuals, linked using open hypermedia technology. The work discussed in this paper delivers not only a maintenance system for the robot stations under consideration, but also a design framework for developing maintenance systems for other similar applications

Factors shaping the evolution of electronic documentation systems

The main goal is to prepare the space station technical and managerial structure for likely changes in the creation, capture, transfer, and utilization of knowledge. By anticipating advances, the design of Space Station Project (SSP) information systems can be tailored to facilitate a progression of increasingly sophisticated strategies as the space station evolves. Future generations of advanced information systems will use increases in power to deliver environmentally meaningful, contextually targeted, interconnected data (knowledge). The concept of a Knowledge Base Management System is emerging when the problem is focused on how information systems can perform such a conversion of raw data. Such a system would include traditional management functions for large space databases. Added artificial intelligence features might encompass co-existing knowledge representation schemes; effective control structures for deductive, plausible, and inductive reasoning; means for knowledge acquisition, refinement, and validation; explanation facilities; and dynamic human intervention. The major areas covered include: alternative knowledge representation approaches; advanced user interface capabilities; computer-supported cooperative work; the evolution of information system hardware; standardization, compatibility, and connectivity; and organizational impacts of information intensive environments

Capturing and representing deliberation in participatory planning practices

In this paper we argue for the importance of capturing and representing deliberation in participatory planning practices. We discuss the concept of deliberation in planning theory, and argue for a paradigm that puts deliberation at the centre of public participation to planning decision. We argue that in order to enable effective participation, the normally ephemeral delib- eration process needs to be captured and represented so that the information and knowledge gathered during deliberation is visible for all, can be effectively traced, reused, and can actively influence planning decisions. To scaffold this we describe the integration of three technologies to create a collective project memory structured against five dimensions of participatory plan- ning processes: dialogical, social, spatial, temporal and causal. Based on several authentic par- ticipatory planning cases, we report that this supported deliberation across planning tasks, communication modes, time and environments. The coupled use of online and offline group- ware technologies created a more expressive and transparent participatory knowledge base than is possible with conventional media, and enhanced participatory planning by: supporting the effective capture and representation of deliberation processes and products; providing a rich picture of the social setting in which planning decision develops and supporting reflection in and on planning actions

A spiral model for adding automatic, adaptive authoring to adaptive hypermedia

At present a large amount of research exists into the design and implementation of adaptive systems. However, not many target the complex task of authoring in such systems, or their evaluation. In order to tackle these problems, we have looked into the causes of the complexity. Manual annotation has proven to be a bottleneck for authoring of adaptive hypermedia. One such solution is the reuse of automatically generated metadata. In our previous work we have proposed the integration of the generic Adaptive Hypermedia authoring environment, MOT ( My Online Teacher), and a semantic desktop environment, indexed by Beagle++. A prototype, Sesame2MOT Enricher v1, was built based upon this integration approach and evaluated. After the initial evaluations, a web-based prototype was built (web-based Sesame2MOT Enricher v2 application) and integrated in MOT v2, conforming with the findings of the first set of evaluations. This new prototype underwent another evaluation. This paper thus does a synthesis of the approach in general, the initial prototype, with its first evaluations, the improved prototype and the first results from the most recent evaluation round, following the next implementation cycle of the spiral model [Boehm, 88]