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Mining process task post-conditions

Journal Article


Abstract


  • A large and growing body of work explores the use of semantic

    annotation of business process designs, but these annotations can be

    difficult and expensive to acquire. This paper presents a data-driven approach

    to mining these annotations (and specifically post-conditions) from

    event logs in process execution histories which describe both task execution

    events (typically contained in process logs) and state update events

    (which we record in effect logs). We present an empirical evaluation,

    which suggests that the approach provides generally reliable results.

UOW Authors


Publication Date


  • 2015

Citation


  • Santiputri, M., Ghose, A. K., Dam, H. K. & Wen, X. (2015). Mining process task post-conditions. Lecture Notes in Computer Science, 9381 514-527.

Scopus Eid


  • 2-s2.0-84951855657

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/5047

Has Global Citation Frequency


Number Of Pages


  • 13

Start Page


  • 514

End Page


  • 527

Volume


  • 9381

Place Of Publication


  • Germany

Abstract


  • A large and growing body of work explores the use of semantic

    annotation of business process designs, but these annotations can be

    difficult and expensive to acquire. This paper presents a data-driven approach

    to mining these annotations (and specifically post-conditions) from

    event logs in process execution histories which describe both task execution

    events (typically contained in process logs) and state update events

    (which we record in effect logs). We present an empirical evaluation,

    which suggests that the approach provides generally reliable results.

UOW Authors


Publication Date


  • 2015

Citation


  • Santiputri, M., Ghose, A. K., Dam, H. K. & Wen, X. (2015). Mining process task post-conditions. Lecture Notes in Computer Science, 9381 514-527.

Scopus Eid


  • 2-s2.0-84951855657

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/5047

Has Global Citation Frequency


Number Of Pages


  • 13

Start Page


  • 514

End Page


  • 527

Volume


  • 9381

Place Of Publication


  • Germany