Maciej Falkowski

Usage of the Jess Engine, Rules and Ontology to Query a Relational Database

We present a prototypical implementation of a library tool, the Semantic Data Library (SDL), which integrates the Jess (Java Expert System Shell) engine, rules and ontology to query a relational database. The tool extends functionalities of previous OWL2Jess with SWRL implementations and takes full advantage of the Jess engine, by separating forward and backward reasoning. The optimization of integration of all these technologies is an advancement over previous tools. We discuss the complexity of the query algorithm. As a demonstration of capability of the SDL library, we execute queries using crime ontology which is being developed in the Polish PPBW project.

Semantic Extraction with Use of Frames

This work describes an information extraction methodology which uses shallow parsing. We present detailed information on the extraction process, data structures used within that process as well as the evaluation of the described method. The extraction is fully automatic. Instead of machine learning it uses predefined frame templates and vocabulary stored within a domain ontology with elements related to frame templates. The architecture of the information extractor is modular and the main extraction module is capable of processing various languages when lexicalization for these languages is provided.

Identifying Fraudulent Shipments through Matching Shipping Documents with Phone Records

A crucial element of a VAT-carousel crime scheme is false documentation for transporting many goods (fuel, steel rods); claims that trucks cross the Polish border to and from neighboring countries (operation entailing zero-rate VAT tax), while, in reality, they never leave Poland. It is possible and practical to use analytic technology to prove that the routes determined by the locations of radio towers of drivers’ calls are incompatible with alleged transport documents (CMRs’) and invoice based information. This is based on a rule based expert system that covers semantic matching, spatiotemporal relation operators, and comparison of GIS data. The method has been successfully applied to real-life investigation (the GARO case).