Neuroscience can greatly benefit from using novel methods in computer science and informatics, which enable knowledge discovery in unexpected ways. Currently one of the biggest challenges in Neuroscience is to map the functional circuitry of the brain. The applications of this goal range from understanding structural reorganization of neurons to…

Scientists produce research resources that are useful to future research and innovative efforts. In a typical scientific scenario, the results created by a collaborative team often include numerous artifacts, observations and relationships relevant to research findings, such as programs that generate data, parameters that impact outputs, workflows…

Computers may not be able to master poetics like Aristotle, but they have become smart enough to know a metaphor when they see one. An online database called The Mind Is a Metaphor, created by Brad Pasanek, an assistant professor of English at the University of Virginia, is a searchable bank of phrases, verses, and lines from literature that…

Presents a framework that combines Genetic Programming and Inductive Logic Programming, two approaches in data mining, to induce knowledge from noisy databases. The framework is based on a formalism of logic grammars and is implemented as a data mining system called LOGENPRO (Logic Grammar-based Genetic Programming System). (Contains 34…

Considers a "hybrid" approach to the modeling of uncertainty in deductive databases. The model, deductive IST (DIST) is based on an extension of the "Information Source Tracking" (IST) model for relational databases. Proves that the complexity of testing containment of conjunctive DIST queries remains the same as in the…

Presents a seven-step methodology for utilizing integrity constraint knowledge from heterogeneous databases. Describes generating a set of integrity constraints applicable at the integrated level from constraints specified on local databases. Introduces the concept of constraint-based relationships between objects in heterogeneous databases;…

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.…

Introduces new procedures being used to extract knowledge from databases and discusses rationales for developing knowledge discovery methods. Methods are described for such techniques as classification, clustering, and the detection of deviations from pre-established norms. Examines potential uses of knowledge discovery in the information field.…

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…

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…

Describes and evaluates a system that selects key information from an event database by reasoning about event frequencies, frequencies of relations between events, and domain-specific importance measures. The system aggregates similar information and plans a summary tailored to a stereotypical user. (AEF)

This paper presents an overview of World Wide Web-enabled databases that dynamically generate Web materials and focuses on the use of this technology to support collaboration, knowledge construction, and communication. Database applications have been used in classrooms to support learning activities for over a decade, but, although business and…

Computer-Supported Intentional Learning Environments (CSILE) is a database system in which learners collaboratively construct the knowledge represented in the database. This study examines how students in a grade-five and -six classroom built their database on a science topic, electricity. Differences in cognitive and operative activities between…