What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Algorithm
His primary areas of investigation include Artificial intelligence, Non-monotonic logic, Theoretical computer science, Web service and WS-Policy.
His research on Artificial intelligence often connects related topics like Cognitive systems.
His Non-monotonic logic study integrates concerns from other disciplines, such as Discrete mathematics and Multimodal logic.
His Theoretical computer science study combines topics from a wide range of disciplines, such as Qualification problem, Inference, Modus ponens and Deductive reasoning.
His Web service study necessitates a more in-depth grasp of World Wide Web.
The various areas that Drew McDermott examines in his OWL-S study include Suggested Upper Merged Ontology and Process ontology.
His most cited work include:
- Introduction to Artificial Intelligence (1043 citations)
- DAML-S: Web Service Description for the Semantic Web (868 citations)
- Non-monotonic logic I (802 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Theoretical computer science, Programming language, Cognitive science and Epistemology are his primary areas of study.
His Artificial intelligence study incorporates themes from Machine learning, Computer vision and Natural language processing.
His Natural language processing research includes elements of Ontology, Ontology-based data integration and Upper ontology.
His research integrates issues of Semantic integration, Process ontology and Ontology Inference Layer in his study of Ontology-based data integration.
His studies examine the connections between Upper ontology and genetics, as well as such issues in Semantic Web, with regards to Ontology.
The Theoretical computer science study combines topics in areas such as Domain, Representation, Inference and Semantics.
He most often published in these fields:
- Artificial intelligence (35.38%)
- Theoretical computer science (13.08%)
- Programming language (12.31%)
What were the highlights of his more recent work (between 2005-2014)?
- Artificial intelligence (35.38%)
- Programming language (12.31%)
- Epistemology (6.92%)
In recent papers he was focusing on the following fields of study:
Drew McDermott mostly deals with Artificial intelligence, Programming language, Epistemology, Process ontology and Ontology.
His Artificial intelligence research is multidisciplinary, incorporating elements of Web service, Argument, Multiple-criteria decision analysis, Computer program and Set.
His Data-driven programming, Macro, Coroutine and Data structure study in the realm of Programming language connects with subjects such as Order.
In his study, which falls under the umbrella issue of Epistemology, Domain is strongly linked to Semantic reasoner.
His Process ontology study deals with Semantic Web intersecting with Ontology, Web intelligence, WS-Addressing and Data Web.
His biological study spans a wide range of topics, including Ontology language, OWL-S, Social Semantic Web and Web page, World Wide Web.
Between 2005 and 2014, his most popular works were:
- Bringing Semantics to Web Services with OWL-S (450 citations)
- An integrated system for studying residue coevolution in proteins (70 citations)
- POIROT: integrated learning of web service procedures (20 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Algorithm
His main research concerns Artificial intelligence, Epistemology, Construct, Semantic reasoner and Data mining.
Drew McDermott undertakes multidisciplinary studies into Artificial intelligence and Workflow in his work.
His Epistemology research includes themes of Application domain and Management science.
As part of his studies on Construct, Drew McDermott often connects relevant areas like Domain.
His Data mining research is multidisciplinary, incorporating perspectives in Software, Speedup and Modular design.
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