Presents an ongoing series of experiments with the TREC (Text Retrieval Conference) Interactive Track that test the feasibility and effectiveness of using clustering and classification as an aid to retrieval and answer construction. Results indicate that the success of the approach depends on assessing the quality of the final answers generated by…

Discusses the need for tools that analyze Earth changes in time ranges, and describes a data structure for creating and managing archives of thematic maps derived by classifying remotely sensed images by soft techniques (soft maps). Considers time-based models and provides an example of the new data structure. (Author/LRW)

Report on exploratory research which investigated image attributes in a series of describing tasks. Results suggest that access to a wide range of attributes is needed to address all facets of interest and that certain classes of attributes may appear more frequently (literal objects, human form and associated attributes, color, and location).…

Discussion of the classification of documents from bibliographic databases focuses on a method of vectorizing reference documents from LISA (Library and Information Science Abstracts) which permits their topological organization using Kohonen's algorithm. Analyzes possibilities of this type of neural network with respect to the development of…

Discusses content-based image retrieval systems that effectively utilize information from image databases, and provides a taxonomy for approaches to image retrieval. Highlights include image retrieval architecture that supports query operators; conceptual issues; and two application prototypes. (100 references) (Author/LRW)

Discusses text categorization and Web site classification and proposes a three-step classification system that includes the use of Web pages linked with the home page. Highlights include the k-nearest neighbor (k-NN) approach; improving performance with a feature selection method and a term weighting scheme using HTML tags; and similarity…

Discusses the inclusion of contextual information in indexing and retrieval systems to improve results and the ability to carry out text analysis by means of linguistic knowledge. Presents research that investigated whether discourse variables have an impact on information and retrieval and classification algorithms. (Author/LRW)

Presents a multilevel model of the information filtering process that permits document classification. Evaluates a document classification approach based on a supervised learning algorithm, measures the accuracy of the algorithm in a neural network that was trained to classify medical documents on cell biology, and discusses filtering…

Presents an efficient text categorization (or text classification) algorithm for document retrieval of natural language texts that generates bigrams (two-word phrases) and uses the information gain metric, combined with various frequency thresholds. Experimental results suggest that the bigrams can substantially raise the quality of feature sets.…

Presents entirely automatic methods for gathering documents for a hypertext, for linking the set, and for annotating those connections with a description of the type (that is, the nature) of the link. Document linking is based on information retrieval similarity measures with adjustable levels of strictness. Evaluation problems are also…

Discusses the use of information retrieval techniques for the automatic authoring of hypertext. Presents a typology of hypertext links, describes examples of automatic construction of hypertext, and considers evaluation problems. (LRW)

Examines previous research on keyword-search techniques and evaluates a keyword classification scheme. Compiled a list of 1056 management information systems (MIS) keywords from 14,676 articles in 27 (MIS) journals and compared it to an existing list (Barki). Concludes that a comprehensive keyword-classification system is needed for enhanced MIS…

Proposes a new method of text classification using stochastic decision lists, ordered sequences of IF-THEN-ELSE rules. The method can be viewed as a rule-based method for text classification having advantages of readability and refinability of acquired knowledge. Advantages of rule-based methods over non-rule-based ones are empirically verified.…

Discusses automatic document classification and document retrieval systems and presents a strategy for building a morphological machine dictionary of English that infers meaning of derivations by considering morphological affixes and their semantic classification. Proposes a method for selecting compound field association terms from a large pool…

Considers a general problem of combining the classifications or predictions of local information systems into a single system. Introduces a new approach for solving an aggregation problem where a decision maker needs to classify an observation based on group-membership predictions coming from multiple experts, and describes results from empirical…