Semantically Enhanced Intellectual Property Protection System- SEIPro2S

Abstract. The aim of this work is to present some of the capabilities of a Semantically Intellectual Enhanced Property Protection System. The system has reached a prototype phase where experiments are possible. It uses an extensive semantic net algorithms for Polish language that enable it to detect similarities in two compared documents on a level far beyond simple text matching. SEIPro2S benefits both from using a local document repository and from Web based resources. Main focus of this work is to give a reader overview of architecture and some actual results. Key words: intellectual property, semantic net, thought matching, natural language processing

SEMANTIC NETWORK BASED MECHANISMS FOR KNOWLEDGE ACQUISITION

This article summarizes research work started with the SeiPro2S (Semantically Enhanced Intellectual Property Protection System) system designed to protect resources from the unauthorized use of intellectual property. The system implements semantic network as a structure of knowledge representation and a new idea of semantic compression. As the author proved that semantic compression is viable concept for English, he decided to focus on potential applications. An algorithm is presented that employing semantic network WiSENet for knowledge acquisition with flexible rules that yield high precision results. Developed algorithm is implemented as a Finite State Automaton with advanced methods for triggering desired actions. Detailed discussion is given with description of devised algorithm, usage examples and results of experiments