@inproceedings{Seipel2010,
  author    = {Seipel, Dietmar},
  title     = {Practical Applications of Extended Deductive Databases in DATALOG*},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-41457},
  year      = {2010},
  abstract  = {A wide range of additional forward chaining applications could be realized with deductive databases, if their rule formalism, their immediate consequence operator, and their fixpoint iteration process would be more flexible. Deductive databases normally represent knowledge using stratified Datalog programs with default negation. But many practical applications of forward chaining require an extensible set of user-defined built-in predicates. Moreover, they often need function symbols for building complex data structures, and the stratified fixpoint iteration has to be extended by aggregation operations. We present an new language Datalog*, which extends Datalog by stratified meta-predicates (including default negation), function symbols, and user-defined built-in predicates, which are implemented and evaluated top-down in Prolog. All predicates are subject to the same backtracking mechanism. The bottom-up fixpoint iteration can aggregate the derived facts after each iteration based on user-defined Prolog predicates.},
  language  = {en}
}
@inproceedings{Brass2010,
  author    = {Brass, Stefan},
  title     = {Range restriction for general formulas},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-41521},
  year      = {2010},
  abstract  = {Deductive databases need general formulas in rule bodies, not only conjuctions of literals. This is well known since the work of Lloyd and Topor about extended logic programming. Of course, formulas must be restricted in such a way that they can be effectively evaluated in finite time, and produce only a finite number of new tuples (in each iteration of the TP-operator: the fixpoint can still be infinite). It is also necessary to respect binding restrictions of built-in predicates: many of these predicates can be executed only when certain arguments are ground. Whereas for standard logic programming rules, questions of safety, allowedness, and range-restriction are relatively easy and well understood, the situation for general formulas is a bit more complicated. We give a syntactic analysis of formulas that guarantees the necessary properties.},
  language  = {en}
}
@inproceedings{GebserHinrichsSchaubetal.2010,
  author    = {Gebser, Martin and Hinrichs, Henrik and Schaub, Torsten and Thiele, Sven},
  title     = {xpanda: a (simple) preprocessor for adding multi-valued propositions to ASP},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-41466},
  year      = {2010},
  abstract  = {We introduce a simple approach extending the input language of Answer Set Programming (ASP) systems by multi-valued propositions. Our approach is implemented as a (prototypical) preprocessor translating logic programs with multi-valued propositions into logic programs with Boolean propositions only. Our translation is modular and heavily benefits from the expressive input language of ASP. The resulting approach, along with its implementation, allows for solving interesting constraint satisfaction problems in ASP, showing a good performance.},
  language  = {en}
}