LEARN PAD - Quality assessment strategies for contents

Autor: Ferrari A., Witschel H. F., Spagnolo G. O., Gnesi S.
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Project report, LEARN PAD, Deliverable D4.2, 2015
Popis: In this deliverable we identify the quality assessment strategies for the natural language content as- sociated to the Business Process Models (BP Models), within the Learn PAd project. The deliverable presents an in-depth domain analysis, including literature review, interviews with public administra- tion (PA) stakeholders, and questionnaires submitted to PA stakeholders. Moreover, it defines a set of guidelines for editing natural language content in Learn PAd, and a quality model with associated rule-based and algorithmic strategies for computing the quality of such content. An experimental evaluation is presented concerning the potential usage of machine-learning techniques as a complementary tool for quality evaluation. The deliverable also introduces some technical details that pave the basis to successively create the content analysis component of the Learn PAd platform.
Databáze: OpenAIRE