A collection of queries, Python scripts, and tutorials for using Cypher and Neo4j for creating, querying, and analyzing event knowledge graphs. Event knowledge graphs are a semantic data structure for representing behavior of multiple interacting entities in terms of a network of multiple synchronizing paths over event nodes. v1-alpha: first tutorial with all query templates for constructing event knowledge graph
Complex Event Processing (CEP) is an event processing paradigm to perform real-time analytics over s...
Master thesis report. Process event data contains events related to various entities of a proces...
Event-QA dataset contains 1000 semantic queries and the corresponding verbalisations for EventKG - a...
Datasets and scripts for modeling business process event log data in Neo4j Provides input data for ...
Classical process mining aims to capture the behavior of a process based on a single dimension: the ...
Process event data is usually stored either in a sequential process event log or in a relational dat...
Deploying process-driven information systems is a time-con-suming and error-prone task. Process mini...
Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are also an esse...
Process event data is usually stored either in a sequential process event log or in a relational dat...
Complex Event Processing (CEP) is an event processing paradigm to perform real-time analytics over s...
Master thesis report. Process event data contains events related to various entities of a proces...
Event-QA dataset contains 1000 semantic queries and the corresponding verbalisations for EventKG - a...
Datasets and scripts for modeling business process event log data in Neo4j Provides input data for ...
Classical process mining aims to capture the behavior of a process based on a single dimension: the ...
Process event data is usually stored either in a sequential process event log or in a relational dat...
Deploying process-driven information systems is a time-con-suming and error-prone task. Process mini...
Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are also an esse...
Process event data is usually stored either in a sequential process event log or in a relational dat...
Complex Event Processing (CEP) is an event processing paradigm to perform real-time analytics over s...
Master thesis report. Process event data contains events related to various entities of a proces...
Event-QA dataset contains 1000 semantic queries and the corresponding verbalisations for EventKG - a...
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