An analysis of geometric modeling in database systems
ACM Computing Surveys (CSUR)
Computer
Fuzzy Concepts in Expert Systems
Computer
ACM Computing Surveys (CSUR)
Formal semantics for time in databases
ACM Transactions on Database Systems (TODS)
Fuzzy Logic and the Resolution Principle
Journal of the ACM (JACM)
ACM Computing Surveys (CSUR)
Logic and Databases: A Deductive Approach
ACM Computing Surveys (CSUR)
Data Models
ACM SIGMOD Record
Data models in geographic information systems
Communications of the ACM
Towards declarative GIS analysis
GIS '96 Proceedings of the 4th ACM international workshop on Advances in geographic information systems
ADOME: An Advanced Object Modeling Environment
IEEE Transactions on Knowledge and Data Engineering
Reactive processing in ADOME-II: an extensible approach
Information Sciences—Informatics and Computer Science: An International Journal
Modeling time in computing: A taxonomy and a comparative survey
ACM Computing Surveys (CSUR)
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A formal foundation for the specification of geographic data processing (GDP) requirements is established. Emphasis is on modeling data and knowledge requirements rather than processing needs. A subset of first-order logic is proposed as the principal means for constructing formalizations of the GDP requirements in a manner that is independent of the data representation. Requirements executability is achieved by selecting a subset of logic, compatible with the inference mechanisms available in Prolog. Concepts with GDP significance such as time, space, and accuracy are added for the formalization without losing Prolog implementability or separation of concerns. Rules of reasoning about time, space, and accuracy can be compactly stated in a subset of second-order predicate calculus and can be easily modified to meet the particular needs of a specific application. The feasibility of the approach is established with the aid of a prototype implementation of the formalism in Prolog. The implementation also provides the means for the graphical rendering of logical information on a high-resolution color display.