Semantic analysis of business process executions

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Business Process Management Systems log a large amount of operational data about processes and about the (human and automated) resources involved in their executions. This information can be analyzed for assessing the quality of business operations, identify problems, and suggest solutions. However, current process analysis systems lack the functionalities required to provide information that can be immediately digested and used by business analysts to take decisions. In this paper we discuss the limitations of existing approaches and we present a system and a set of techniques, developed at Hewlett-Packard, that overcome this limitations, enabling the use of log data for efficient business-level analysis of business processes.

Original language	English
Title of host publication	Advances in Database Technology, EDBT 2002 - 8th International Conference on Extending Database Technology, Proceedings
Pages	287-296
Number of pages	10
Volume	2287 LNCS
Publication status	Published - 2002
Externally published	Yes
Event	8th International Conference on Extending Database Technology, EDBT 2002 - Prague, Czech Republic Duration: 25 Mar 2002 → 27 Mar 2002

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2287 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Conference on Extending Database Technology, EDBT 2002
Country	Czech Republic
City	Prague
Period	25.3.02 → 27.3.02

Fingerprint

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Cite this

Casati, F., & Shan, M. C. (2002). Semantic analysis of business process executions. In Advances in Database Technology, EDBT 2002 - 8th International Conference on Extending Database Technology, Proceedings (Vol. 2287 LNCS, pp. 287-296). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2287 LNCS).

Semantic analysis of business process executions. / Casati, Fabio; Shan, Ming Chien.

Advances in Database Technology, EDBT 2002 - 8th International Conference on Extending Database Technology, Proceedings. Vol. 2287 LNCS 2002. p. 287-296 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2287 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Casati, F & Shan, MC 2002, Semantic analysis of business process executions. in Advances in Database Technology, EDBT 2002 - 8th International Conference on Extending Database Technology, Proceedings. vol. 2287 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2287 LNCS, pp. 287-296, 8th International Conference on Extending Database Technology, EDBT 2002, Prague, Czech Republic, 25.3.02.

Casati, Fabio ; Shan, Ming Chien. / Semantic analysis of business process executions. Advances in Database Technology, EDBT 2002 - 8th International Conference on Extending Database Technology, Proceedings. Vol. 2287 LNCS 2002. pp. 287-296 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{aa1dee9fd268469f90b6381edcfb5ab7,

title = "Semantic analysis of business process executions",

abstract = "Business Process Management Systems log a large amount of operational data about processes and about the (human and automated) resources involved in their executions. This information can be analyzed for assessing the quality of business operations, identify problems, and suggest solutions. However, current process analysis systems lack the functionalities required to provide information that can be immediately digested and used by business analysts to take decisions. In this paper we discuss the limitations of existing approaches and we present a system and a set of techniques, developed at Hewlett-Packard, that overcome this limitations, enabling the use of log data for efficient business-level analysis of business processes.",

author = "Fabio Casati and Shan, {Ming Chien}",

year = "2002",

language = "English",

isbn = "3540433244",

volume = "2287 LNCS",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "287--296",

booktitle = "Advances in Database Technology, EDBT 2002 - 8th International Conference on Extending Database Technology, Proceedings",

note = "8th International Conference on Extending Database Technology, EDBT 2002 ; Conference date: 25-03-2002 Through 27-03-2002",

}

TY - GEN

T1 - Semantic analysis of business process executions

AU - Casati, Fabio

AU - Shan, Ming Chien

PY - 2002

Y1 - 2002

N2 - Business Process Management Systems log a large amount of operational data about processes and about the (human and automated) resources involved in their executions. This information can be analyzed for assessing the quality of business operations, identify problems, and suggest solutions. However, current process analysis systems lack the functionalities required to provide information that can be immediately digested and used by business analysts to take decisions. In this paper we discuss the limitations of existing approaches and we present a system and a set of techniques, developed at Hewlett-Packard, that overcome this limitations, enabling the use of log data for efficient business-level analysis of business processes.

AB - Business Process Management Systems log a large amount of operational data about processes and about the (human and automated) resources involved in their executions. This information can be analyzed for assessing the quality of business operations, identify problems, and suggest solutions. However, current process analysis systems lack the functionalities required to provide information that can be immediately digested and used by business analysts to take decisions. In this paper we discuss the limitations of existing approaches and we present a system and a set of techniques, developed at Hewlett-Packard, that overcome this limitations, enabling the use of log data for efficient business-level analysis of business processes.

UR - http://www.scopus.com/inward/record.url?scp=84883769495&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883769495&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84883769495

SN - 3540433244

SN - 9783540433248

VL - 2287 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 287

EP - 296

BT - Advances in Database Technology, EDBT 2002 - 8th International Conference on Extending Database Technology, Proceedings

T2 - 8th International Conference on Extending Database Technology, EDBT 2002

Y2 - 25 March 2002 through 27 March 2002

ER -