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|a 10.1007/978-3-319-04175-9
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|a Leopold, Henrik.
|e author.
|4 aut
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| 245 |
1 |
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|a Natural Language in Business Process Models
|h [electronic resource] :
|b Theoretical Foundations, Techniques, and Applications /
|c by Henrik Leopold.
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| 250 |
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|a 1st ed. 2013.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2013.
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| 300 |
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|a XXII, 181 p. 35 illus.
|b online resource.
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|a Lecture Notes in Business Information Processing,
|x 1865-1348 ;
|v 168
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| 490 |
1 |
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|a Springer eBook Collection
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| 505 |
0 |
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|a 1 Business Process Management -- 2 Linguistics -- 3 Parsing and Annotating Process Model Elements -- 4 Detecting and Correcting Linguistic Guideline Violations -- 5 Generation of Natural Language Texts from Process Models -- 6 Service Derivation from Process Models -- 7 Conclusion.
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| 520 |
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|a 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.
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|a Electronic access restricted to members of the Holy Cross Community.
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|a Information technology.
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| 650 |
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|a Business—Data processing.
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| 650 |
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|a Natural language processing (Computer science).
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| 650 |
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|a Application software.
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| 650 |
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|a Computational linguistics.
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|a Lecture Notes in Business Information Processing,
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