Natural Language in Business Process Models

Theoretical Foundations, Techniques, and Applications

  • HenrikĀ Leopold

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 168)

Table of contents

  1. Front Matter
  2. Henrik Leopold
    Pages 1-23
  3. Henrik Leopold
    Pages 25-48
  4. Henrik Leopold
    Pages 137-158
  5. Henrik Leopold
    Pages 159-164
  6. Back Matter

About these proceedings

Introduction

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.

Keywords

BPM NLP SOA artificial intelligence business process management business process modeling linguistics natural language processing service derivation service-oriented architectures

Editors and affiliations

  • HenrikĀ Leopold
    • 1
  1. 1.Institute of Information SystemsHumboldt University BerlinBerlinGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-04175-9
  • Copyright Information Springer International Publishing Switzerland 2013
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-04174-2
  • Online ISBN 978-3-319-04175-9
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • About this book