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020 _a9783319041759
_9978-3-319-04175-9
024 7 _a10.1007/978-3-319-04175-9
_2doi
050 4 _aHF54.5-54.56
072 7 _aKJQ
_2bicssc
072 7 _aUF
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072 7 _aBUS083000
_2bisacsh
072 7 _aCOM039000
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082 0 4 _a650
_223
082 0 4 _a658.05
_223
245 1 0 _aNatural Language in Business Process Models
_h[electronic resource] :
_bTheoretical Foundations, Techniques, and Applications /
_cedited by Henrik Leopold.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2013.
300 _aXXII, 181 p. 35 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Business Information Processing,
_x1865-1348 ;
_v168
505 0 _a1 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.
520 _aNatural 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.
650 0 _aBusiness.
650 0 _aInformation technology.
650 0 _aBusiness
_xData processing.
650 0 _aComputational linguistics.
650 0 _aApplication software.
650 1 4 _aBusiness and Management.
650 2 4 _aIT in Business.
650 2 4 _aLanguage Translation and Linguistics.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aComputational Linguistics.
650 2 4 _aComputer Appl. in Administrative Data Processing.
700 1 _aLeopold, Henrik.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319041742
830 0 _aLecture Notes in Business Information Processing,
_x1865-1348 ;
_v168
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-04175-9
912 _aZDB-2-SCS
942 _cEBK
999 _c56484
_d56484