In designing the interface between a database and a logic system with inference such as Prolog, efficiency is the major issue. Presented here are three of the methods that are considered most promising and in which much research is focused. The first method explores extending an inference machine to include a database manager, the second couples the inference mechanism with a database management system; and the third extends a database management mechanism to include inference. Acknowledging up front that no method can be claimed best, the major emphasis of this study will be to determine the strengths and limitations of all three methods and thereby help to clarify many uncertain and sometimes conflicting issues caused by the parallel lin...
Argumentation systems have substantially evolved in the past few years, resulting in adequate tools ...
Rapid growth in the automation of business transactions has lead to an explosion in the size of data...
Abstract. There is currently great interest in integrating knowledge discovery research into mainstr...
Deductive databases intellectualize relational databases by providing complex inference ability. The...
The logic programming language Prolog has been shown to be a very suitable language for implementing...
Logic has traditionally provided a firm conceptual framework for representing knowledge. As it can f...
This work is written in the context of the logic-based approach to Artificial Intelligence (AI) prop...
The use of databases for management decision support requires flexible inferencing mechanisms. The u...
International audienceThis chapter presents some noteworthy works which show the links between Datab...
Abstract. Logic and databases have gone a long way together since the advent of relational databases...
The purpose of this study is to explore that mathematics provides a convenient formalism for studyin...
The increasing number of data sources that are used for decision support in business meant it was ne...
An optimizing translation mechanism for the dynamic interaction between a logic-based expert system ...
Logic is the fundament of many Artificial Intelligence (A.I.) systems as it provides an intuitive me...
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1988.Includes bibl...
Argumentation systems have substantially evolved in the past few years, resulting in adequate tools ...
Rapid growth in the automation of business transactions has lead to an explosion in the size of data...
Abstract. There is currently great interest in integrating knowledge discovery research into mainstr...
Deductive databases intellectualize relational databases by providing complex inference ability. The...
The logic programming language Prolog has been shown to be a very suitable language for implementing...
Logic has traditionally provided a firm conceptual framework for representing knowledge. As it can f...
This work is written in the context of the logic-based approach to Artificial Intelligence (AI) prop...
The use of databases for management decision support requires flexible inferencing mechanisms. The u...
International audienceThis chapter presents some noteworthy works which show the links between Datab...
Abstract. Logic and databases have gone a long way together since the advent of relational databases...
The purpose of this study is to explore that mathematics provides a convenient formalism for studyin...
The increasing number of data sources that are used for decision support in business meant it was ne...
An optimizing translation mechanism for the dynamic interaction between a logic-based expert system ...
Logic is the fundament of many Artificial Intelligence (A.I.) systems as it provides an intuitive me...
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1988.Includes bibl...
Argumentation systems have substantially evolved in the past few years, resulting in adequate tools ...
Rapid growth in the automation of business transactions has lead to an explosion in the size of data...
Abstract. There is currently great interest in integrating knowledge discovery research into mainstr...