Presents a new method to improve the performance of query processing in a spatial database. Experiments demonstrated that performance of database systems can be improved because both the number of objects accessed and number of objects requiring detailed inspection are much less than those in the previous approach. (AEF)

Presents a single framework for conducting topic analysis that performs both topic identification and text segmentation. Key characteristics of the framework are: representing a topic by means of a cluster of words closely related to the topic; and employing a stochastic model, called a finite mixture model, to represent a word distribution within…

Proposes an information retrieval system based on a hybrid model consisting of an inductive learning and neural network system. Evaluates the system's responses to incomplete queries and inconsistent indexing. Query terms, discriminant descriptors, and the American Documentation Institute's query and document titles used in the evaluation are…

Text similarity measurements are used to determine relationships between natural-language texts and text excerpts. The resulting linked hypertext maps can be broken down into text segments and themes used to identify different text types and structures, leading to improved information access and utilization. Examples are provided for text…

Proposes a composite feature measure which combines the shape and color features of an image based on a clustering technique. A similarity measure computes the degree of match between a given pair of images; this technique can be used for content-based image retrieval of images using shape and/or color. Tests the technique on two image databases;…

Uses an information processing approach to analyze the pausal behavior of end-users and identifies reasons for pausing, location of pauses, hesitation rate and pausal behavior changes over time. Confirms that searchers pause less frequently and for shorter periods as they progressed through searches over time. (Author/AEF)

Discusses a user interface that simplifies NF Squared (non-first-normal-form) relational query formulation in which query specification remains compact and straightforward. This interface allows for nesting and general hierarchical structures and restructuring which provides for more effective retrieval and query formulation. (Author/JKP)

Describes an information retrieval system in which advanced natural language processing is used to enhance the effectiveness of term-based document retrieval by preprocessing the documents; discovering interterm dependencies and build a conceptual hierarchy specific to database domain; and processing the user's natural language requests into…

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…

Proposes an extended vector-processing scheme that extracts information from hypertext links to enhance retrieval effectiveness. Evaluates the impact of bibliographic references, bibliographic coupling, cocitation and document representative relationships. Shows that hypertext links do not always improve average precision, and interdocument…

The relationships of task complexity, necessary information types, information channels and sources are analyzed at the task level on the basis of a qualitative investigation. Data were collected in a public administration setting, and the findings indicate systematic and logical relationships among the factors analyzed. (54 references)…

The periodic TRECs (Text Retrieval Conferences) have reported the results of a variety of recall studies in large-scale document retrieval. While the efforts of TREC are noteworthy and laudable, there are reasons why its results, especially the recall values that are central to its conclusions, should be accepted with some caution. (Contains 17…

A consultation quality control model (CQCM) developed for an expert system (ES) integrated both ES performance measures and end-user judgment values. Simple decision theory concepts were used to design the CQCM. Results show end users belong to different categories characterized by utility functions and the weights they assign to ES consultation…

Explores the indirect method of locating for indexing the likely explicit and implicit captions of photographs, using multimodal clues including the specific words used, syntax, surrounding layout of the Web page, and general appearance of the associated image. The MARIE-3 system thus avoids full image processing and full natural-language…