Keys allow a database management system to uniquely identify tuples in a database. Consequently, the class of keys is of great significance for almost all data processing tasks. In the relational model of data, keys have received considerable interest and are well understood. However, for efficient means of data processing most commercial relational database systems deviate from the relational model. For example, tuples may contain only partial information in the sense that they contain so-called null values to represent incomplete information. Codd’s principle of entity integrity says that every tuple of every relation must not contain a null value on any attribute of the primary key. Therefore, a key over partial relations enforces both u...
The nested relational model extends the flat relational model by relaxing the first normal form assu...
The main purpose of this paper is to give some results related to Armstrong relations for functional...
Database relations with incomplete information are considered. The no-information interpretation of ...
Keys allow a database management system to uniquely identify tuples in a database. Consequently, the...
We study keys and functional dependencies in the context of partial relations that permit null value...
Entity and referential integrity are the most fundamental constraints that any relational database s...
Driven by the dominance of the relational model and the requirements of modern applications, we revi...
The definition of keys, antikeys, Armstrong-instances are extended to complex values in the presence...
Although there has been a vast amount of research in the area of relational database design, to our ...
AbstractIn this paper we present some characterizations of relation schemes in second normal form (2...
The theoretical study of the relational model of data is ongoing and highly developed. Yet the vast...
To date most previous approaches to incomplete information within the relational model depend on the...
To date most previous approaches to incomplete information within the relational model depend on the...
The theoretical study of the relational model of data is ongoing and highly developed. Yet the vast ...
AbstractA new formal approach is proposed for modeling incomplete database information by means of n...
The nested relational model extends the flat relational model by relaxing the first normal form assu...
The main purpose of this paper is to give some results related to Armstrong relations for functional...
Database relations with incomplete information are considered. The no-information interpretation of ...
Keys allow a database management system to uniquely identify tuples in a database. Consequently, the...
We study keys and functional dependencies in the context of partial relations that permit null value...
Entity and referential integrity are the most fundamental constraints that any relational database s...
Driven by the dominance of the relational model and the requirements of modern applications, we revi...
The definition of keys, antikeys, Armstrong-instances are extended to complex values in the presence...
Although there has been a vast amount of research in the area of relational database design, to our ...
AbstractIn this paper we present some characterizations of relation schemes in second normal form (2...
The theoretical study of the relational model of data is ongoing and highly developed. Yet the vast...
To date most previous approaches to incomplete information within the relational model depend on the...
To date most previous approaches to incomplete information within the relational model depend on the...
The theoretical study of the relational model of data is ongoing and highly developed. Yet the vast ...
AbstractA new formal approach is proposed for modeling incomplete database information by means of n...
The nested relational model extends the flat relational model by relaxing the first normal form assu...
The main purpose of this paper is to give some results related to Armstrong relations for functional...
Database relations with incomplete information are considered. The no-information interpretation of ...