Chair for Automata Theory of the Institute for Theoretical Computer Science, Faculty of Computer Science at TU Dresden

Technical Reports

1997


F. Baader and U. Sattler. Description Logics with Aggregates and Concrete Domains. LTCS-Report 97-01, LuFg Theoretical Computer Science, RWTH Aachen, Germany, 1997. An abridged version has appeared in the Proceedings of the International Workshop on Description Logics 97.
Bibtex entry  Paper (PS)

Abstract

We show that extending description logics by simple aggregation functions as available in database systems may lead to undecidability of inference problems such as satisfiability and subsumption.


F. Baader and P. Narendran. Unification of Concept Terms in Description Logics. LTCS-Report 97-02, LuFg Theoretical Computer Science, RWTH Aachen, Germany, 1997.
Bibtex entry  Abstract  Paper (PS)

Abstract

Unification of concept terms is a new kind of inference problem for Description Logics, which extends the equivalence problem by allowing to substitute certain concept names by concept terms before testing for equivalence. We show that this inference problem is of interest for applications, and present first decidability and complexity results for a small concept description language.


F. Baader. On the Complexity of Boolean Unification. LTCS-Report 97-03, LuFg Theoretical Computer Science, RWTH Aachen, Germany, 1997.
Bibtex entry  Paper (PS)

Abstract

Unification modulo the theory of Boolean algebras has been investigated by several autors. Nevertheless, the exact complexity of the decision problem for unification with constants and general unification was not known. In this research note, we show that the decision problem is $\Pi^p_2$-complete for unification with constants and PSPACE-complete for general unification. In contrast, the decision problem for elementary unification (where the terms to be unified contain only symbols of the signature of Boolean algebras) is ``only'' NP-complete.


R. Küsters. Characterizing the semantics of terminological cycles in ALN using finite automata. LTCS-Report 97-04, LuFg Theoretical Computer Science, RWTH Aachen, Germany, 1997.
Bibtex entry  Paper (PS)

Abstract

The representation of terminological knowledge may naturally lead to terminological cycles. In addition to descriptive semantics, the meaning of cyclic terminologies can also be captured by fixed-point semantics, namely, greatest and least fixed-point semantics. To gain a more profound understanding of these semantics and to obtain inference algorithms as well as complexity results for inconsistency, subsumption, and related inference tasks, this paper provides automata theoretic characterizations of these semantics. More precisely, the already existing results for FL_0 are extended to the language ALN, which additionally allows for primitive negation and number-restrictions. Unlike FL_0, the language ALN can express inconsistent concepts, which makes non-trivial extensions of the characterizations and algorithms necessary. Nevertheless, the complexity of reasoning does not increase when going from FL_0 to ALN. This distinguishes ALN from the very expressive languages with fixed-point operators proposed in the literature. It will be shown, however, that cyclic ALN-terminologies are expressive enough to capture schemata in certain semantic data models.


M. S. Hacid, P. Marcel, and C. Rigotti. A rule based data manipulation language for OLAP systems. LTCS-Report 97-05, LuFg Theoretical Computer Science, RWTH Aachen, 1997. A short version has appeared in the Proceedings of the 5th International Conference on Deductive and Object-Oriented Databases (DOOD'97), Montreux, Switzerland.
Bibtex entry  Paper (PS)

Abstract

This paper proposes an extension of Datalog devoted to data manipulations in On-Line Analytical Processing (OLAP) systems. This language provides a declarative and concise way to specify the basic standard restructuring and summarizing operations on multidimensional cubes used in these systems. We define its model-theoretic semantics and an equivalent fixpoint semantics that leads to a naive evaluation procedure. We also illustrate its applicability to specify usefull more complex data manipulations arising in OLAP systems.


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