With the increased popularity of electronic textbooks, there is a growing interest in developing a new generation of "intelligent textbooks," which have the ability to guide readers according to their learning goals and current knowledge. Intelligent textbooks extend regular textbooks by integrating machine-manipulable knowledge, and the…

Discussion forums in learning management systems (LMS) have been shown to promote student interaction and contribute to the collaborative practice in the teaching-learning process. By evaluating the postings, teachers can identify students with learning difficulties. However, due to the large volume of posts that are generated on a daily basis in…

The number of e-learning platforms and blended learning environments is continuously increasing and has sparked a lot of research around improvements of educational processes. Here, the ability to accurately predict student performance plays a vital role. Previous studies commonly focused on the construction of predictors tailored to a formal…

Content-based image retrieval is based on the idea of extracting visual features from images and using them to index images in a database. Proposes similarity measures and an indexing algorithm based on information theory that permits an image to be represented as a single number. When used in conjunction with vectors, this method displays…

Presents an overview of artificial-intelligence-based inductive learning techniques and their use in information science research. Three methods are discussed: the connectionist Hopfield network; the symbolic ID3/ID5R; evolution-based genetic algorithms. The knowledge representations and algorithms of these methods are examined in the context of…

Proposes an alternative real valued representation of color based on the information theoretic concept of entropy. A theoretical presentation of image entropy is accompanied by a practical description of the merits and limitations of image entropy compared to color histograms. Results suggest that image entropy is a promising approach to image…

Presents three different statistical techniques for identifying content-bearing phrases within a natural language database. Describes results on the effectiveness of the scoring methods when applied to MEDLINE phrases, and how the three methods can be combined to improve performance. Processing results for an example document are provided.…

Discussion of users and information retrieval systems highlights a study that investigated the representation of users' knowledge by examining their names for objects and concepts, agreement on names, the Library of Congress Subject Headings representation for similar objects and concepts, and measurement of the similarity between these…

Proposes a two-step model of discovery in which new scientific hypotheses can be generated and subsequently tested. Applying advanced natural language processing techniques to find biomedical concepts in text, the model is implemented in a versatile interactive discovery support tool. This tool is used to successfully simulate Don R. Swanson's…

The Latent Semantic Indexing and MatchPlus systems examine similar contexts in which words appear and create representational models that capture the similarity of meaning of terms and then use the representation for retrieval. Text Retrieval Conference experiments using these systems demonstrate the computational feasibility of using…

Reports on two studies in the second Text Retrieval Conference (TREC-2) program that investigated the effect on retrieval performance of combination of multiple representations of TREC topics. Six methods of query combinations and the combination of the same queries on different databases are examined. Results show that combining evidence from…

Traditional methods of authority present in a print environment are lacking on the Internet, and, even when occasionally present, are of questionable veracity. A formal model and evaluative criteria are suggested and explained to provide a means for accurately ascribing cognitive authority in a networked environment; the model is unique in its…

Presents a broad view of information access, drawing from philosophy and semiology in constructing a framework for comparative discussion that is used to examine the information representations that underlie four approaches to information access--information retrieval, workflow, collaborative filtering, and the path model. Contains 32 references.…

This article provides an empirical evaluation of an indexing technology, topic maps (ISO 13250), in the context of an academic task in a higher education context. Topic maps are a form of indexing that define and display the interrelationships between various topics in a given domain, as well as anchor these topics to specific resources that help…

This research reports an algorithmic approach to the automatic generation of thesauri for electronic community systems. The techniques used include term filtering, automatic indexing, and cluster analysis. The Worm Community System, used by molecular biologists studying the nematode worm C. elegans, was used as the testbed for this research.…