Natural Language in Business Process Models : Theoretical Foundations, Techniques, and Applications

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 nat...

Full description

Saved in:
Bibliographic Details
Main Author: Leopold, Henrik (Author)
Corporate Author: SpringerLink (online služba) (Distributor) 
Format: eBook
Language:English
Published: Cham : Springer International Publishing : 2013
Series:Lecture Notes in Business Information Processing, 168
Genre/form:elektronické knihy
ISBN:9783319041759
Online Access:Plný text
Tags: Add Tag
No Tags, Be the first to tag this record!
Cover Image
Description
Summary: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
Physical Description:1 online zdroj (XXII, 181 p. 35 illus.)
Edition:1st ed. 2013