@inproceedings{6cbe82146d244b489563220096f0c057,
title = "Implementing Object-Centric Event Data Models in Event Knowledge Graphs.",
abstract = "Recent advances in object-centric process mining necessitated the standardization of object-centric event data (OCED). An IEEE taskforce has developed a “meta-model” for OCED, but there is no existing reference implementation or automated techniques to transform legacy data into OCED. This task requires domain-specific knowledge about the semantics of the legacy data in order to make explicit how events act on various inter-related data objects and their attributes. We propose a semantic header that defines how extracted legacy data maps to OCED concepts and the domain-specific reference ontology using PG-schema. We automatically translate the header into database queries to construct an event knowledge graph that is compliant with OCED and the domain ontology using a declarative extract-load-transform approach. The approach has been implemented and demonstrated on 7 real-life datasets, making it one of the first attempts to make OCED operational.",
keywords = "ELT Framework, Event Knowledge Graph, OCED, PG-Schema, Semantic Header",
author = "Ava Swevels and Dirk Fahland and Marco Montali",
note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",
year = "2024",
doi = "10.1007/978-3-031-56107-8_33",
language = "English",
isbn = "9783031561061",
series = "Lecture Notes in Business Information Processing",
pages = "431--443",
editor = "{De Smedt}, Johannes and Pnina Soffer",
booktitle = "Process Mining Workshops - ICPM 2023 International Workshops, 2023, Revised Selected Papers",
}