Description
As technology becomes increasingly intelligent, various factors within the field of data science are seeing significant transformation. Process analysis is one area that is undergoing substantial development due to the implementation of semantic reasoning and web technologies. The congruence of these two systems has created various applications and developments in data processing and analysis across several professional fields.
Applications and Developments in Semantic Process Mining is an essential reference source that discusses the improvement of process mining algorithms through the implementation of semantic modeling and representation. Featuring research on topics such as domain ontologies, fuzzy modeling, and information extraction, the book takes into account the different stages of process mining and its application in real time and then expounds the classical process mining techniques to semantical preparation of the extracted models for further analysis and querying at a more abstract level. The book provides a wide-ranging idea of the application and development of semantic process mining that is expected to be beneficial and used by professionals, software and data engineers, software developers, IT experts, business owners and entrepreneurs, and process analysts.
Author's/Editor's Biography
Kingsley Okoye
I am passionate about using Semantic-based Modelling and Process Mining techniques to develop novel approaches for process automation and analysis. My goal is to discover patterns within knowledge-bases and create rules that can adaptively support the analysis of contents and improve process models or information systems based on the available data and captured user profiles.A devoted Researcher, Industry, and Academia in operational, hardware and software fields of Computing in general such as the Data Science, Machine Learning, Artificial Intelligence, Big Data and Advanced Analytics, Software Development and Programming, and Business Process Management.My Research interests includes Process Mining, Business Process Modelling and Automation, Learning Analytics and Systems, Semantic Web Technologies, Knowledge Management, Big Data Analysis and Process Querying, Internet Applications and Ontology.