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Data sets and json files (describing the semantic header and dataset description) to build an Event Knowledge Graph (EKG) using OCED-PG as used in [1]. Provides input data for 6 datasets (BPIC14, BPIC15, BPIC16, BPIC17, BPIC19 and a simulated libraray example). EKGs are built using OCED-PG, implemented in PromgG v0.1.25. The source code can be found at Github. To build EKGs using OCED-PG for one of the BPIC challenges, fork the query code from Github: ekg_bpi_challenges. for the simulated library example, fork the query code from Github: ekg_library_example. [1] Swevels, A., Fahland, D., Montali, M.: Implementing Object-Centric Event Data Models in Event Knowledge Graphs (2023)
querying, process mining, graph database, OCED-PG, OCED, graph, event log
querying, process mining, graph database, OCED-PG, OCED, graph, event log
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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