Editors:
- First approach to use natural language in process models
- Exploits NLP techniques in process management
- Facilitates the transformation of BPMN process models into natural language texts
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 168)
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Table of contents (7 papers)
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Front Matter
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Back Matter
About this book
Natural language is one of the most important means of human communication. It enables us to express our will, to exchange thoughts and to document our knowledge in written sources. Owing to its substantial role in many facets of human life, technology for automatically analyzing and processing natural language has recently become increasingly important. In fact, natural language processing tools have paved the way for entirely new business opportunities.
The goal of this book is to facilitate the automatic analysis of natural language in process models and to employ this analysis for assisting process model stakeholders. Therefore, a technique is defined that automatically recognizes and annotates process model element labels. In addition, this technique is leveraged to support organizations in effectively utilizing their process models in various ways.
The book is organized into seven chapters. It starts with an overview of business process management and linguistics and continues with conceptual contributions on parsing and annotating process model elements, with the detection and correction of process model guideline violations, with the generation of natural language from process models and finally ends with the derivation of service candidates from process models.
Editors and Affiliations
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Institute of Information Systems, Humboldt University Berlin, Berlin, Germany
Henrik Leopold
Bibliographic Information
Book Title: Natural Language in Business Process Models
Book Subtitle: Theoretical Foundations, Techniques, and Applications
Editors: Henrik Leopold
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-319-04175-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2013
Softcover ISBN: 978-3-319-04174-2Published: 16 December 2013
eBook ISBN: 978-3-319-04175-9Published: 12 December 2013
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: XXII, 181
Number of Illustrations: 35 b/w illustrations
Topics: IT in Business, Natural Language Processing (NLP), Information Systems Applications (incl. Internet), Computational Linguistics, Computer Appl. in Administrative Data Processing