Add to ORKGA comparison of relational databases, as known in Data Management, and logical databases, as used in Artificial Intelligence is made. This comparison is then used to examine certain semantic issues raised by the Entity-Relationship Model
Abstract. Logic and databases have gone a long way together since the advent of relational databases...
This paper reports on a laboratory study which compared conceptual data models developed by casual a...
Much has happened in data and knowledge base research since the introduction of the relational mode...
The reformulation of data management type databases in a formal, logical calculus is described. Adva...
The purpose of this study is to explore that mathematics provides a convenient formalism for studyin...
Logic offers a uniform environment both for data description and program execution and provides a po...
Database theory is now in a mature state, and this book addresses important extensions of the relati...
This article describes the process of creating the conceptual and logical model of a journal databas...
This article describes the process of creating the conceptual and logical model of a journal databas...
Unfortunately, the widespread used one-to-many, many-to-one, one-to-one, and many-tomany database re...
Relational learning, statistical relational models, statistical relational learning, relational data...
A data model, called the entity-relationship model, is proposed. This model incorporates some of the...
A laboratory study comparing relational representations developed using the Data Aggregation approac...
A unified framework for knowledge base systems is proposed based on Entity-Relationship (ER) approac...
The relational data model requires a theory of relations in which tuples are not only many-sorted, b...
Abstract. Logic and databases have gone a long way together since the advent of relational databases...
This paper reports on a laboratory study which compared conceptual data models developed by casual a...
Much has happened in data and knowledge base research since the introduction of the relational mode...
The reformulation of data management type databases in a formal, logical calculus is described. Adva...
The purpose of this study is to explore that mathematics provides a convenient formalism for studyin...
Logic offers a uniform environment both for data description and program execution and provides a po...
Database theory is now in a mature state, and this book addresses important extensions of the relati...
This article describes the process of creating the conceptual and logical model of a journal databas...
This article describes the process of creating the conceptual and logical model of a journal databas...
Unfortunately, the widespread used one-to-many, many-to-one, one-to-one, and many-tomany database re...
Relational learning, statistical relational models, statistical relational learning, relational data...
A data model, called the entity-relationship model, is proposed. This model incorporates some of the...
A laboratory study comparing relational representations developed using the Data Aggregation approac...
A unified framework for knowledge base systems is proposed based on Entity-Relationship (ER) approac...
The relational data model requires a theory of relations in which tuples are not only many-sorted, b...
Abstract. Logic and databases have gone a long way together since the advent of relational databases...
This paper reports on a laboratory study which compared conceptual data models developed by casual a...
Much has happened in data and knowledge base research since the introduction of the relational mode...