40 research outputs found
Temporalising Unique Characterisability and Learnability of Ontology-Mediated Queries
Recently, the study of the unique characterisability and learnability of
database queries by means of examples has been extended to ontology-mediated
queries. Here, we study in how far the obtained results can be lifted to
temporalised ontology-mediated queries. We provide a systematic introduction to
the relevant approaches in the non-temporal case and then show general transfer
results pinpointing under which conditions existing results can be lifted to
temporalised queries
Optimization in SMT with LA(Q) Cost Functions
In the contexts of automated reasoning and formal verification, important
decision problems are effectively encoded into Satisfiability Modulo Theories
(SMT). In the last decade efficient SMT solvers have been developed for several
theories of practical interest (e.g., linear arithmetic, arrays, bit-vectors).
Surprisingly, very few work has been done to extend SMT to deal with
optimization problems; in particular, we are not aware of any work on SMT
solvers able to produce solutions which minimize cost functions over
arithmetical variables. This is unfortunate, since some problems of interest
require this functionality.
In this paper we start filling this gap. We present and discuss two general
procedures for leveraging SMT to handle the minimization of LA(Q) cost
functions, combining SMT with standard minimization techniques. We have
implemented the proposed approach within the MathSAT SMT solver. Due to the
lack of competitors in AR and SMT domains, we experimentally evaluated our
implementation against state-of-the-art tools for the domain of linear
generalized disjunctive programming (LGDP), which is closest in spirit to our
domain, on sets of problems which have been previously proposed as benchmarks
for the latter tools. The results show that our tool is very competitive with,
and often outperforms, these tools on these problems, clearly demonstrating the
potential of the approach.Comment: A shorter version is currently under submissio
Constraint satisfaction problems in clausal form
This is the report-version of a mini-series of two articles on the
foundations of satisfiability of conjunctive normal forms with non-boolean
variables, to appear in Fundamenta Informaticae, 2011. These two parts are here
bundled in one report, each part yielding a chapter.
Generalised conjunctive normal forms are considered, allowing literals of the
form "variable not-equal value". The first part sets the foundations for the
theory of autarkies, with emphasise on matching autarkies. Main results concern
various polynomial time results in dependency on the deficiency. The second
part considers translations to boolean clause-sets and irredundancy as well as
minimal unsatisfiability. Main results concern classification of minimally
unsatisfiable clause-sets and the relations to the hermitian rank of graphs.
Both parts contain also discussions of many open problems.Comment: 91 pages, to appear in Fundamenta Informaticae, 2011, as Constraint
satisfaction problems in clausal form I: Autarkies and deficiency, Constraint
satisfaction problems in clausal form II: Minimal unsatisfiability and
conflict structur
Complete Additivity and Modal Incompleteness
In this paper, we tell a story about incompleteness in modal logic. The story
weaves together a paper of van Benthem, `Syntactic aspects of modal
incompleteness theorems,' and a longstanding open question: whether every
normal modal logic can be characterized by a class of completely additive modal
algebras, or as we call them, V-BAOs. Using a first-order reformulation of the
property of complete additivity, we prove that the modal logic that starred in
van Benthem's paper resolves the open question in the negative. In addition,
for the case of bimodal logic, we show that there is a naturally occurring
logic that is incomplete with respect to V-BAOs, namely the provability logic
GLB. We also show that even logics that are unsound with respect to such
algebras do not have to be more complex than the classical propositional
calculus. On the other hand, we observe that it is undecidable whether a
syntactically defined logic is V-complete. After these results, we generalize
the Blok Dichotomy to degrees of V-incompleteness. In the end, we return to van
Benthem's theme of syntactic aspects of modal incompleteness
Reasoning in Many Dimensions : Uncertainty and Products of Modal Logics
Probabilistic Description Logics (ProbDLs) are an extension of Description Logics that are designed to capture uncertainty. We study problems related to these logics. First, we investigate the monodic fragment of Probabilistic first-order logic, show that it has many nice properties, and are able to explain the complexity results obtained for ProbDLs. Second, in order to identify well-behaved, in best-case tractable ProbDLs, we study the complexity landscape for different fragments of ProbEL; amongst others, we are able to identify a tractable fragment. We then study the reasoning problem of ontological query answering, but apply it to probabilistic data. Therefore, we define the framework of ontology-based access to probabilistic data and study the computational complexity therein. In the final part of the thesis, we study the complexity of the satisfiability problem in the two-dimensional modal logic KxK. We are able to close a gap that has been open for more than ten years