Title:	ONTOLOGY LEARNING FOR OPEN SEMANTIC TRIZ IN SOFTWARE ENGINEERING
Author(s):	Vanja Bevanda, Giorgio Sinkovi?, Marko Turk
ISBN:	978-989-8533-50-0
Editors:	Miguel Baptista Nunes, Pedro Isaías and Philip Powell
Year:	2016
Edition:	Single
Keywords:	TRIZ inventive principles, software engineering, open innovation, semantic web, ontology learning and collaborative knowledge management platform.
Type:	Full Paper
First Page:	83
Last Page:	90
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	TRIZ (the theory of inventive problem solving; an acronym for the Russian phrase "Teoriya Resheniya Izobretatelskikh Zadatch") is a broad title representing a collection of methodologies, tools, knowledge bases, and model-based technologies for generating inventive ideas and solutions. It has been developed for over 65 years to support engineers and natural scientists solving problems in the fields of physics, chemistry and mechanical systems by using knowledge of former inventors. In today business environment, new technologies and competitions force business organizations to invest additional resources in order to continuously improve their business models, products, processes, services, management, information system and knowledge of employees. As a part of these efforts, appears an exigency for strengthening the importance of inventive solving problems capabilities in area of software engineering, supporting innovative aspects of business organizations in extremely changing environment. Although the software engineering (SE) is “a branch of computer science that deals with the design, implementation, and maintenance of complex computer programs”, the existing research shows that only a part of the available TRIZ toolkit is applicable to this specific field. The current literature records numerous attempts made in different directions in order to fulfil a prominence need for adjustment, widening or upgrading existing TRIZ methodology to SE domain. This article synthetizes those efforts and proposes the development of semantic portal for open TRIZ in supporting collaborative software engineers` inventive problem solving process. As a part of this development process, authors have offered a solution for facilitating the ontology acquisition activities using inductive learning.
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