Intelligent query answering in rule based systems
Journal of Logic Programming
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Answering queries addressed to the rule base of a deductive database
Proceedings of the 2nd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems on Uncertainty and intelligent systems
Using integrity constraints to provide intensional answers to relational queries
VLDB '89 Proceedings of the 15th international conference on Very large data bases
Readings in object-oriented database systems
Readings in object-oriented database systems
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Logic and Databases: A Deductive Approach
ACM Computing Surveys (CSUR)
Symbolic Logic and Mechanical Theorem Proving
Symbolic Logic and Mechanical Theorem Proving
Controlled Generation of Intensional Answers
IEEE Transactions on Knowledge and Data Engineering
Constraints for Improving the Generation of Intensional Answers in a Deductive Database
Proceedings of the Fifth International Conference on Data Engineering
Intensional query processing using data mining approaches
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Using domain knowledge in knowledge discovery
Proceedings of the eighth international conference on Information and knowledge management
Intensional Question Answering Using ILP: What Does an Answer Mean?
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Computing intensional answers to questions - An inductive logic programming approach
Data & Knowledge Engineering
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In the near future, we believe that we will need much more sophisticated answer-finding schemes in an object-oriented database in order to satisfy the needs of truly intelligent information system. In this paper, we introduce a method to apply the intensional query processing techniques of deductive databases to object-oriented databases. So, we can generate intensional answers to represent answer-set abstractly for a given query in object-oriented databases.Our approach consists of four steps: rule generation, pre-resolution, resolution, and post-resolution. In rule generation, we generate a set of deductive rules based on an object-oriented database schema. In pre-resolution, rule transformation is done to get unique intensional literals and extended term-restricted rules. In resolution, we identify rules that are potentially relevant to a query. In post-resolution, we find relevant resolvents as candidates for intensional answers among potentially relevant resolvents. We also use the notion of potentially relevant resolvents and relevant resolvents to avoid generating certain meaningless intensional answers.