We investigate the complexity of reasoning over various fragments of the Extended Entity-Relationship (EER) language, which include different combinations of the constructors for isa between concepts and relationships, disjointness, covering, cardinality constraints and their refinement. Specifically, we show that reasoning over EER diagrams with isa between relationships is ExpTime-complete even when we drop both covering and disjointness for relationships. Surprisingly, when we also drop isa between relations, reasoning becomes NP-complete. If we further remove the possibility to express covering between entities, reasoning becomes polynomial. Our lower bound results are established by direct reductions, while the upper bounds follo...
Concrete domains are an extension of Description Logics (DLs) that allows to integrate reasoning abo...
Entity Relationship (ER) diagrams are among the most popular formalisms for the support of database ...
Abstract. The provenir ontology is an upper-level ontology to facilitate interoperability of provena...
We investigate the computational complexity of reasoning over various fragments of the Extended Enti...
We address the problem of answering conjunctive queries over extended Entity-Relationship schemata, ...
AbstractCombining knowledge representation and reasoning formalisms is an important and challenging ...
AbstractWe analyse the complexity of finite model reasoning in the description logic ALCQI, i.e., AL...
Combining knowledge representation and reasoning formalisms is an important and challenging task. It...
Entity resolution is the process of determining whether a collection of entity representations refer...
We present a simple entity-relationship-oriented model, which essentially includes the notion of cla...
We present lower bounds on the computational complexity of satisfiability and subsumption in several...
The purpose of this paper is to outline various results regarding the computational complexity of no...
Combining knowledge representation and reasoning formalisms is an important and challenging task. It...
Description logics are knowledge representation languages that have been designed to strike a balanc...
EL is a tractable description logic serving as the logical underpinning of large-scale ontologies. W...
Concrete domains are an extension of Description Logics (DLs) that allows to integrate reasoning abo...
Entity Relationship (ER) diagrams are among the most popular formalisms for the support of database ...
Abstract. The provenir ontology is an upper-level ontology to facilitate interoperability of provena...
We investigate the computational complexity of reasoning over various fragments of the Extended Enti...
We address the problem of answering conjunctive queries over extended Entity-Relationship schemata, ...
AbstractCombining knowledge representation and reasoning formalisms is an important and challenging ...
AbstractWe analyse the complexity of finite model reasoning in the description logic ALCQI, i.e., AL...
Combining knowledge representation and reasoning formalisms is an important and challenging task. It...
Entity resolution is the process of determining whether a collection of entity representations refer...
We present a simple entity-relationship-oriented model, which essentially includes the notion of cla...
We present lower bounds on the computational complexity of satisfiability and subsumption in several...
The purpose of this paper is to outline various results regarding the computational complexity of no...
Combining knowledge representation and reasoning formalisms is an important and challenging task. It...
Description logics are knowledge representation languages that have been designed to strike a balanc...
EL is a tractable description logic serving as the logical underpinning of large-scale ontologies. W...
Concrete domains are an extension of Description Logics (DLs) that allows to integrate reasoning abo...
Entity Relationship (ER) diagrams are among the most popular formalisms for the support of database ...
Abstract. The provenir ontology is an upper-level ontology to facilitate interoperability of provena...