1990 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)
Richard Fikes spends much of his time researching Knowledge base, Knowledge-based systems, Artificial intelligence, Open Knowledge Base Connectivity and Frame. His work carried out in the field of Knowledge base brings together such families of science as Knowledge sharing and Knowledge management. His research in Knowledge-based systems intersects with topics in Software engineering, Architecture and Process.
His work on Semantic Web Rule Language as part of general Artificial intelligence study is frequently linked to Web query classification, therefore connecting diverse disciplines of science. His Open Knowledge Base Connectivity investigation overlaps with other areas such as Domain knowledge, Interoperability and Knowledge representation and reasoning. His studies deal with areas such as Representation, Theoretical computer science, Inference and Protocol as well as Frame.
Artificial intelligence, Knowledge representation and reasoning, Knowledge base, Programming language and World Wide Web are his primary areas of study. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Inheritance and Natural language processing. Richard Fikes interconnects Knowledge management, Knowledge engineering, Knowledge extraction and Data science in the investigation of issues within Knowledge base.
His research investigates the connection with Programming language and areas like Theoretical computer science which intersect with concerns in Semantics, Frame, Semantics and Inference. His work in World Wide Web addresses issues such as Ontology, which are connected to fields such as Representation and Information integration. His STRIPS research integrates issues from Discrete mathematics, Graphplan, Partial-order planning and Calculus.
His primary areas of study are Information retrieval, Knowledge base, World Wide Web, Information integration and Process. In his works, Richard Fikes conducts interdisciplinary research on Knowledge base and Open Knowledge Base Connectivity. Open Knowledge Base Connectivity and Artificial intelligence are two areas of study in which he engages in interdisciplinary work.
His work on Web design, Collaborative software, Query expansion and Semantic Web Rule Language as part of general World Wide Web research is frequently linked to Web query classification, bridging the gap between disciplines. His Information integration research includes themes of Query language and Cognitive models of information retrieval. His Data science research focuses on subjects like Semantic HTML, which are linked to Ontology.
Richard Fikes mainly focuses on Web query classification, Query expansion, Distributed computing, Heuristic programming and PALO. Among his research on Web query classification, you can see a combination of other fields of science like Query plan, Information integration, Query language, World Wide Web and Suite. His Query expansion research is multidisciplinary, relying on both Query optimization, Database and Architecture.
His studies in Distributed computing integrate themes in fields like Intelligent decision support system and Task.
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Strips: A new approach to the application of theorem proving to problem solving
Richard E. Fikes;Nils J. Nilsson.
Artificial Intelligence (1971)
Enabling technology for knowledge sharing
Robert Neches;Richard Fikes;Tim Finin;Tom Gruber.
Ai Magazine (1991)
Learning and executing generalized robot plans
Richard E. Fikes;Peter E. Hart;Nils J. Nilsson.
Artificial Intelligence (1993)
The role of frame-based representation in reasoning
Richard Fikes;Tom Kehler.
Communications of The ACM (1985)
PACT: an experiment in integrating concurrent engineering systems
M.R. Cutkosky;R.S. Engelmore;R.E. Fikes;M.R. Genesereth.
IEEE Computer (1993)
An environment for merging and testing large ontologies
Deborah L. McGuinness;Richard Fikes;James Rice;Steve Wilder.
principles of knowledge representation and reasoning (2000)
OKBC: a programmatic foundation for knowledge base interoperability
Vinay K. Chaudhri;Adam Farquhar;Richard Fikes;Peter D. Karp.
national conference on artificial intelligence (1998)
The DARPA knowledge sharing effort: progress report
Ramesh S. Patil;Richard E. Fikes;Peter F. Patel-Schneider;Don McKay.
principles of knowledge representation and reasoning (1997)
DAML+OIL: an ontology language for the Semantic Web
D.L. Mcguinness;R. Fikes;J. Hendler;L.A. Stein.
IEEE Intelligent Systems (2002)
OWL-QL-a language for deductive query answering on the Semantic Web
Richard Fikes;Patrick Hayes;Ian Horrocks.
Journal of Web Semantics (2004)
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