Dynamic magic sets for programs with monotone recursive aggregates
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
The HiLeX system for semantic information extraction
Transactions on Large-Scale Data- and Knowledge-Centered Systems V
Unfounded sets and well-founded semantics of answer set programs with aggregates
Journal of Artificial Intelligence Research
Magic Sets for disjunctive Datalog programs
Artificial Intelligence
Look-back Techniques for ASP Programs with Aggregates
Fundamenta Informaticae
Datalog 2.0'12 Proceedings of the Second international conference on Datalog in Academia and Industry
Answer set programming: language, applications and development tools
RR'13 Proceedings of the 7th international conference on Web Reasoning and Rule Systems
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In this paper we present a successful application of logic programming for e-tourism: the iTravel system. The system exploits two technologies that are based on the state-of-the-art computational logic system DLV: (i) a system for ontology representation and reasoning, called OntoDLV; and, (ii) H$\dotlessi$LεX a semantic information-extraction tool. The core of iTravel is an ontology which models the domain of tourism offers. The ontology is automatically populated by extracting the information contained in the tourism leaflets produced by tour operators. A set of specifically devised logic programs is used to reason on the information contained in the ontology for selecting the holiday packages that best fit the customer needs. An intuitive web-based user interface eases the task of interacting with the system for both the customers and the operators of a travel agency.