Aggregating Event Knowledge Graphs for Task Analysis

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

Abstract

Aggregation of event data is a key operation in process mining for revealing behavioral features of processes for analysis. It has primarily been studied over sequences of events in event logs. The data model of event knowledge graphs enables new analysis questions requiring new forms of aggregation. We focus on analyzing task executions in event knowledge graphs. We show that existing aggregation operations are inadequate and propose new aggregation operations, formulated as query operators over labeled property graphs. We show on the BPIC’17 dataset that the new aggregation operations allow gaining new insights into differences in task executions, actor behavior, and work division.

Original languageEnglish
Title of host publicationProcess Mining Workshops - ICPM 2022 International Workshops, Revised Selected Papers
EditorsMarco Montali, Arik Senderovich, Matthias Weidlich
PublisherSpringer
Pages493-505
Number of pages13
ISBN (Print)9783031278143
DOIs
Publication statusPublished - 2023
EventInternational Workshops on EDBA, ML4PM, RPM, PODS4H, SA4PM, PQMI, EduPM, and DQT-PM, held at the International Conference on Process Mining, ICPM 2022 - Bozen-Bolzano, Italy
Duration: 23 Oct 202228 Oct 2022

Publication series

NameLecture Notes in Business Information Processing
Volume468 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

ConferenceInternational Workshops on EDBA, ML4PM, RPM, PODS4H, SA4PM, PQMI, EduPM, and DQT-PM, held at the International Conference on Process Mining, ICPM 2022
Country/TerritoryItaly
CityBozen-Bolzano
Period23/10/2228/10/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s).

Keywords

  • Aggregation
  • Knowledge graph
  • Tasks

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