27 citations · 44 across the 6 of their papers we have counts for
6 papers
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence
Amin Beheshti, Jian Yang, Quan Z. Sheng +6
Generative Pre-trained Transformer (GPT) is a state-of-the-art machine learning model capable of generating human-like text through natural language processing (NLP). GPT is traine…
Geo-Enabled Business Process Modeling
Behshid Behkamal, Asef Pourmasoumi, Mehdi Akbarian Rastaghi +4
Recent advancements in location-aware analytics have created novel opportunities in different domains. In the area of process mining, enriching process models with geolocation help…
A Query Language for Summarizing and Analyzing Business Process Data
Amin Beheshti, Boualem Benatallah, Hamid Reza Motahari-Nezhad +2
In modern enterprises, Business Processes (BPs) are realized over a mix of workflows, IT systems, Web services and direct collaborations of people. Accordingly, process data (i.e.,…
Big Data Analytics Using Cloud and Crowd
Mohammad Allahbakhsh, Saeed Arbabi, Hamid-Reza Motahari-Nezhad +1
The increasing application of social and human-enabled systems in people's daily life from one side and from the other side the fast growth of mobile and smart phones technologies…
Extending SPARQL to Support Entity Grouping and Path Queries
Seyed-Mehdi-Reza Beheshti, Sherif Sakr, Boualem Benatallah +1
The ability to efficiently find relevant subgraphs and paths in a large graph to a given query is important in many applications including scientific data analysis, social networks…
Temporal Provenance Model (TPM): Model and Query Language
Seyed-Mehdi-Reza Beheshti, Hamid Reza Motahari-Nezhad, Boualem Benatallah
Provenance refers to the documentation of an object's lifecycle. This documentation (often represented as a graph) should include all the information necessary to reproduce a certa…