What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Algebra
Michael Gruninger focuses on Knowledge management, Ontology, Enterprise modelling, Enterprise integration and Enterprise systems engineering.
His work focuses on many connections between Knowledge management and other disciplines, such as Software engineering, that overlap with his field of interest in Axiom, Data quality and Ontology.
His Ontology study contributes to a more complete understanding of Information retrieval.
His Enterprise modelling study combines topics in areas such as Structure, Focus, Linkage and Unification.
His study focuses on the intersection of Enterprise integration and fields such as Enterprise architecture management with connections in the field of Service-oriented modeling and Integrated enterprise modeling.
Michael Gruninger has included themes like Enterprise information system and IDEF5 in his Enterprise systems engineering study.
His most cited work include:
- Ontologies: principles, methods and applications (2799 citations)
- Methodology for the Design and Evaluation of Ontologies (1109 citations)
- Ontologies and semantics for seamless connectivity (347 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Ontology, Software engineering, Process ontology, Knowledge management and Upper ontology.
His research in Ontology focuses on subjects like Theoretical computer science, which are connected to Representation.
His Software engineering study deals with Workflow intersecting with Object type.
His biological study focuses on IDEF5.
He works in the field of Knowledge management, namely Enterprise modelling.
His work deals with themes such as Process modeling, Programming language, Specification language and Project management, which intersect with Process Specification Language.
He most often published in these fields:
- Ontology (45.40%)
- Software engineering (18.97%)
- Process ontology (17.82%)
What were the highlights of his more recent work (between 2016-2020)?
- Ontology (45.40%)
- Software engineering (18.97%)
- World Wide Web (10.34%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Ontology, Software engineering, World Wide Web, Information retrieval and Marketing.
His research combines Knowledge management and Ontology.
His work on Ontology reuse as part of general Software engineering research is frequently linked to Reuse, bridging the gap between disciplines.
In most of his World Wide Web studies, his work intersects topics such as Applied ontology.
His Semantic interoperability study in the realm of Information retrieval connects with subjects such as Units of measurement and Summit.
Among his research on Marketing, you can see a combination of other fields of science like Goods and services, Social needs and Provisioning.
Between 2016 and 2020, his most popular works were:
- Ontology Summit 2016 Communique: Ontologies within semantic interoperability ecosystems (13 citations)
- Choosing ontologies for reuse (10 citations)
- Water features and their parts (7 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Algebra
His primary areas of study are Software engineering, Information retrieval, Engineering drawing, Pluralism and Epistemology.
In general Software engineering, his work in Ontology reuse is often linked to Reuse linking many areas of study.
His work on Semantic interoperability, Upper ontology and Ontology as part of his general Information retrieval study is frequently connected to Summit, thereby bridging the divide between different branches of science.
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