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Abdallah M. Alashqur

dblp:82/5398 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 1990
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2 · 2 first-authorSoftware engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
2 papers
Data models and query languages · 62% Database theory · 38%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database theory › deductive database
deductive object-oriented database
0.011990
A Rule-based Language for Deductive Object-Oriented Databases · ICDE 1990
Data models and query languages
rule-based languages
0.011990
A Rule-based Language for Deductive Object-Oriented Databases · ICDE 1990
Data models and query languages › query language
object-oriented query language
0.011989
OQL: A Query Language for Manipulating Object-oriented Databases · VLDB 1989
Database theory
deductive database
0.011990
A Rule-based Language for Deductive Object-Oriented Databases · ICDE 1990
Data models and query languages
object-oriented data model
0.011990
A Rule-based Language for Deductive Object-Oriented Databases · ICDE 1990

Methods — techniques the papers use, named apart from their topics

subdatabase derivation · 0.0deductive rules · 0.0
YearPublicationVenuePosition
1990 A Rule-based Language for Deductive Object-Oriented Databases
abstract
A deductive rule-based language for object-oriented databases is presented. A deductive rule in this language derives new patterns of associations among objects of some selected classes if these objects fall in certain 'base' on other derived patterns. The patterns of object associations derived by a rule are held in a subdatabase whose intention consists of some selected classes and their associations. In other words, the structure of a derived subdatabase is represented using the structural constructs provided by the object-oriented data model and hence can be uniformly operated on by other rules to further derive new subdatabases. Therefore, the world of subdatabases is closed under this rule-based language.>
Abdallah M. Alashqur, Stanley Y. W. Su, Herman Lam
ICDE1
1989 Integrating the concepts and techniques of semantic modeling and the object-oriented paradigm
abstract
The object orientation of a semantic association model (OSAM) is presented. It integrates the concepts and techniques of semantic modeling and those introduced by the object-oriented paradigm. Unlike conventional data models such as the relational model, the object orientation of OSAM allows the user to model an application in terms of complex objects, classes and their associations, instead of tuples (or records) and relations (or record types). The primitives (objects, class, instance and link) and the perspectives (class and object) of an OSAM database are described. Key differences between OSAM and a conventional object-oriented model are discussed. The features of object orientation and explicit definition of semantic associations among objects allow the database of an application domain to be modeled, accessed and manipulated at a higher conceptual level and thus simplify the tasks of the users in the development of their applications.>
Herman Lam, Stanley Y. W. Su, Abdallah M. Alashqur
COMPSAC3
1989 OQL: A Query Language for Manipulating Object-oriented Databases
Abdallah M. Alashqur, Stanley Y. W. Su, Herman Lam
VLDB1