What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Programming language
- The Internet
Her scientific interests lie mostly in World Wide Web, Semantic Web, Ontology, OWL-S and Semantic Web Stack.
Deborah L. McGuinness works mostly in the field of World Wide Web, limiting it down to topics relating to Information retrieval and, in certain cases, Data model, as a part of the same area of interest.
Deborah L. McGuinness has researched Semantic Web in several fields, including Data manipulation language, Description logic and Open government.
Her research on Ontology focuses in particular on Process ontology.
Her Semantic Web Stack study combines topics from a wide range of disciplines, such as Web standards, Social Semantic Web and Data Web.
The various areas that Deborah L. McGuinness examines in her Ontology language study include Theoretical computer science, Field, F-logic, Resource and Data science.
Her most cited work include:
- The Description Logic Handbook: Theory, Implementation and Applications (5509 citations)
- Ontology Development 101: A Guide to Creating Your First Ontology (3265 citations)
- OWL Web ontology language overview (3105 citations)
What are the main themes of her work throughout her whole career to date?
Deborah L. McGuinness spends much of her time researching World Wide Web, Data science, Semantic Web, Ontology and Information retrieval.
Deborah L. McGuinness interconnects Semantic technology, RDF and Knowledge representation and reasoning in the investigation of issues within Data science.
Her study in Knowledge representation and reasoning is interdisciplinary in nature, drawing from both Theoretical computer science and Knowledge base.
Deborah L. McGuinness works in the field of Semantic Web, namely OWL-S.
Her biological study spans a wide range of topics, including Upper ontology and Process ontology.
The concepts of her Ontology study are interwoven with issues in Ontology, Resource and Domain.
She most often published in these fields:
- World Wide Web (33.07%)
- Data science (21.16%)
- Semantic Web (21.16%)
What were the highlights of her more recent work (between 2016-2021)?
- Ontology (19.05%)
- Data science (21.16%)
- Information retrieval (17.20%)
In recent papers she was focusing on the following fields of study:
Deborah L. McGuinness focuses on Ontology, Data science, Information retrieval, Artificial intelligence and World Wide Web.
Her Ontology research integrates issues from Ontology, RDF, Semantic Web and Human–computer interaction.
The study incorporates disciplines such as Question answering and Knowledge representation and reasoning in addition to Semantic Web.
Her research on Data science also deals with topics like
- Focus together with Expert system,
- Applications of artificial intelligence which connect with Situational ethics.
Her Information retrieval study incorporates themes from Semantics, Decision support system and Data dictionary.
Her World Wide Web research includes elements of Ontology-based data integration, Resource and Service.
Between 2016 and 2021, her most popular works were:
- From Data to City Indicators: A Knowledge Graph for Supporting Automatic Generation of Dashboards (17 citations)
- NanoMine schema: An extensible data representation for polymer nanocomposites (16 citations)
- FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation (15 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- The Internet
Deborah L. McGuinness mainly focuses on Data science, Ontology, Set, Autism spectrum disorder and Artificial intelligence.
Her Data science research is multidisciplinary, incorporating perspectives in Identification, Lifestyle factors, Population health and Association.
Her studies in Ontology integrate themes in fields like Knowledge integration and Representation.
Deborah L. McGuinness combines subjects such as Variable, Machine learning, Biological network and Natural language processing with her study of Artificial intelligence.
Her Semantics study frequently intersects with other fields, such as World Wide Web.
Her study ties her expertise on Ontology-based data integration together with the subject of World Wide Web.
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