Document - LEARN PAD - Quality assessment strategies for contents

2015

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LEARN PAD - Quality assessment strategies for contents

Ferrari A., Witschel H. F., Spagnolo G. O., Gnesi S.

BPMN Business process Natural Language Content Verification Quality Control Structure Performance Analysis and Design Aids

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.

Source: Project report, LEARN PAD, Deliverable D4.2, 2015

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BibTeX entry

@techreport{oai:it.cnr:prodotti:354176,
	title = {LEARN PAD - Quality assessment strategies for contents},
	author = {Ferrari A. and Witschel H. F. and Spagnolo G. O. and Gnesi S.},
	institution = {Project report, LEARN PAD, Deliverable D4.2, 2015},
	year = {2015}
}