Proposes an object-oriented conceptual data model tailored for organizing and representing basic map elements and their relationships, as well as operations of interest for the management of geographic data. Discussion includes both conceptual abstraction primitives (classification, generalization, and aggregation) and a spatial abstraction…

Describes a bottom-up procedure for discovering multivalued dependencies in observed data without knowing a priori the relationships among the attributes. The proposed algorithm is an application of technique designed for learning conditional independencies in probabilistic reasoning; a prototype system for automated database schema design has…

Discusses how imprecision and uncertainty are dealt with in the UFO (Uncertainty and Fuzziness in an Object-oriented) database model. Such information is expressed by means of possibility distributions, and modeled by means of the proposed concept of "role objects." The role objects model uncertain, tentative information about objects,…

Presents an approach for dynamic database integration and query processing in the absence of information about attribute correspondences and global IDs. Defines different types of equivalence conditions for the construction of global IDs. Proposes a strategy based on ranked role-sets that makes use of an automated semantic integration procedure…

For about 10 years, several proposals to deal with ill-known information in database management systems have been made, and extensions of the relational data model have been proposed. An overview of functional dependencies is provided, and the connection between fuzzy functional dependencies and database design is discussed. (AEF)

Investigates the value of applying principles derived from simulated annealing to clustering tuples in database design, and compares this technique with a graph-collapsing clustering method. It is concluded that, while the new method does give superior results, the expense involved in algorithm run time is prohibitive. (24 references) (CLB)

Introduces a hypertext data model for textual databases in which the text is divided into a syntactic structure, which describes the relationships of the text parts, and an access structure, which is generated from the syntactic structure by users' queries. Implementation considerations for the structuring component, retrieval component, and…

Describes a pilot study in which a single database was constructed to provide access by both descriptors and cited references. For each query, two equivalent sets were retrieved and evaluated for relevance to the query. It is concluded that using both search methods can increase both recall and precision. (32 references) (CLB)

Describes a scalable, parallel, relational database-drive information retrieval engine. To support portability across a wide range of execution environments, all algorithms adhere to the SQL-92 standard. By incorporating relevance feedback algorithms, accuracy is enhanced over prior database-driven information retrieval efforts. Presents…