CTrace: Semantic comparison of multi-granularity process traces

Qing Liu, Kerry Taylor, Xiang Zhao, Geoffrey Squire, Xuemin Lin, Corne Kloppers, Richard Miller

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

A process trace describes the processes taken in a workflow to generate a particular result. Given many process traces, each with a large amount of very low level information, it is a challenge to make process traces meaningful to different users. It is more challenging to compare two complex process traces generated by heterogenous systems and have different levels of granularity. We present CTrace, a system that (1) lets users explore the conceptual abstraction of large process traces with different levels of granularity, and (2) provides semantic comparison among traces in which both the structural and the semantic similarity are considered. The above functions are underpinned by a novel notion of multi-granularity process trace and efficient multi-granularity similarity comparison algorithms.

Original languageEnglish
Title of host publicationSIGMOD 2013 - International Conference on Management of Data
Pages1121-1124
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013 - New York, NY, United States
Duration: 22 Jun 201327 Jun 2013

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Conference

Conference2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013
Country/TerritoryUnited States
CityNew York, NY
Period22/06/1327/06/13

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