Natural Language in Business Process Models is popular PDF and ePub book, written by Henrik Leopold in 2013-12-12, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Natural Language in Business Process Models can be Read Online from any device for your convenience.
Natural Language in Business Process Models Book PDF 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.
Detail Book of Natural Language in Business Process Models PDF
- Author : Henrik Leopold
- Release : 12 December 2013
- Publisher : Springer
- ISBN : 9783319041759
- Genre : Business & Economics
- Total Page : 199 pages
- Language : English
- PDF File Size : 7,8 Mb
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