Personalised multilingual hypertext retrieval: An overview

The aims of the workshop on Personalised Multilingual Hypertext Retrieval (PMHR) are twofold: to set the scene in this challenging area, allowing the different communities engaged in related research topics to meet and to determine a program of actions to undertake; to devise a strategy for the evaluation of PMHR systems, which should define the collection of resources to use to evaluate such systems together with the evaluation metrics to use. The workshop results will be of use in the design of personalised tools that can help end-users fully benefit from the use of distributed multilingual hypertext content

The computer integrated documentation project: A merge of hypermedia and AI techniques

To generate intelligent indexing that allows context-sensitive information retrieval, a system must be able to acquire knowledge directly through interaction with users. In this paper, we present the architecture for CID (Computer Integrated Documentation). CID is a system that enables integration of various technical documents in a hypertext framework and includes an intelligent browsing system that incorporates indexing in context. CID's knowledge-based indexing mechanism allows case based knowledge acquisition by experimentation. It utilizes on-line user information requirements and suggestions either to reinforce current indexing in case of success or to generate new knowledge in case of failure. This allows CID's intelligent interface system to provide helpful responses, based on previous experience (user feedback). We describe CID's current capabilities and provide an overview of our plans for extending the system

The effect of WWW document structure on students' information retrieval

This experiment investigated the effect the structure of a WWW document has on the amount of information retained by a reader. Three structures common on the Internet were tested: one long page; a table of contents leading to individual sections; and short sections of text on separate pages with revision questions. Participants read information structured in one of these ways and were then tested on recall of that information. A further experiment investigated the effect that 'browsing' - moving between pages - has on retrieval. There was no difference between the structures for overall amount of information retained. The single page version was best for recall of facts, while the short sections of text with revision questions led to the most accurate inferences from the material. Browsing on its own had no significant impact on information retrieval. Revision questions rather than structure per se were therefore the key factor

What is an Analogue for the Semantic Web and Why is Having One Important?

This paper postulates that for the Semantic Web to grow and gain input from fields that will surely benefit it, it needs to develop an analogue that will help people not only understand what it is, but what the potential opportunities are that are enabled by these new protocols. The model proposed in the paper takes the way that Web interaction has been framed as a baseline to inform a similar analogue for the Semantic Web. While the Web has been represented as a Page + Links, the paper presents the argument that the Semantic Web can be conceptualized as a Notebook + Memex. The argument considers how this model also presents new challenges for fundamental human interaction with computing, and that hypertext models have much to contribute to this new understanding for distributed information systems

Image retrieval by hypertext links

This paper presents a model for retrieval of images from a large World Wide Web based collection. Rather than considering complex visual recognition algorithms, the model presented is based on combining evidence of the text content and hypertext structure of the Web. The paper shows that certain types of query are amply served by this form of representation. It also presents a novel means of gathering relevance judgements

Development and evaluation of clustering techniques for finding people

Typically in a large organisation much expertise and knowledge is held informally within employees' own memories. When employees leave an organisation many documented links that go through that person are broken and no mechanism is usually available to overcome these broken links. This match making problem is related to the problem of finding potential work partners in a large and distributed organisation. This paper reports a comparative investigation into using standard information retrieval techniques to group employees together based on their webpages. This information can, hopefully, be subsequently used to redirect broken links to people who worked closely with a departed employee or used to highlight people, say indifferent departments, who work on similar topics. The paper reports the design and positive results of an experiment conducted at Risø National Laboratory comparing four different IR searching and clustering approaches using real users' web pages

User centred evaluation of an automatically constructed hyper-textbook

As hypertext systems become widely available and their popularity increases, attention has turned to converting existing textual documents into hypertextual form. An important issue in this area is the fully automatic production of hypertext for learning, teaching, training, or self-referencing. Although many studies have addressed the problem of producing hyper-books, either manually or semi-automatically, the actual usability of hyper-books tools is still an area of ongoing research. This article presents an effort to investigate the effectiveness of a hyper-textbook for self-referencing produced in a fully automatic way. The hyper-textbook is produced using the Hyper-TextBook methodology. We developed a taskbased evaluation scheme and performed a comparative usercentred evaluation between a hyper-textbook and a conventional, printed form of the same textbook. The results indicate that the hyper-textbook, in most cases, improves speed, accuracy, and user satisfaction in comparison to the printed form of the textbook