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 a compilation of definitions of information and other related terms including data, knowledge, impact, and development to organize and interrelate them. The goal is to provide members of the information science profession with a common basis for referring to key concepts. (Author/LRW)

Investigates the durability of accounting research in scholarly journals by evaluating the extent and usage of previous literature in current literature and ranks 49 journals in accounting research by citation count and time analysis. Found the mode, median, and mean number of years of citations to be three, seven, and nine years. (PEN)

Extends connections between retrospective citation age studies and reliability theory by considering the failure rate function from reliability, re-interpreted as the age-specific citation rate (ASCR). This is linked to earlier studies of retrospective citation distributions by Egghe and Ravichandra Rao who introduced a function claimed to…

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)

Explores ways of writing the history of information infrastructures. Describes the historical development of the information infrastructure of the International Classification of Diseases (ICD), a universal medical classification system. Discusses changing medical information needs and the ICD's advancements in information technology and…

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;…

Analyzes a neural network for its ability to perform a task involving identification of the language entries in a 19th-century library catalog containing entries in 14 different languages. Compares the neural network's performance with that of trigrams and a suffix/morphology analysis; the trigrams prove to be superior. (AEF)

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…