What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Database
- Law
Ontology, Process ontology, Knowledge management, Software engineering and Ontology-based data integration are her primary areas of study.
Her Ontology study incorporates themes from Ontology and Data science.
She usually deals with Data science and limits it to topics linked to Semantic Web and Web modeling and Web standards.
Her Process ontology research includes themes of World Wide Web, Data mining, Upper ontology and Knowledge-based systems.
The various areas that Asunción Gómez-Pérez examines in her Knowledge management study include Social Semantic Web, Ontological engineering and Semantic Web Stack.
Her Ontology engineering study in the realm of Software engineering interacts with subjects such as Workbench.
Her most cited work include:
- METHONTOLOGY: From Ontological Art Towards Ontological Engineering (1120 citations)
- Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web (887 citations)
- Ontological Engineering (837 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Ontology, World Wide Web, Process ontology, Semantic Web and Ontology-based data integration.
Her biological study spans a wide range of topics, including Software engineering and Knowledge management.
Her work carried out in the field of Software engineering brings together such families of science as Software and Database.
World Wide Web is closely attributed to Ontology in her research.
Her work in Process ontology is not limited to one particular discipline; it also encompasses Data science.
Her Upper ontology research is multidisciplinary, incorporating perspectives in Knowledge representation and reasoning, Conceptualization and Natural language processing.
She most often published in these fields:
- Ontology (54.63%)
- World Wide Web (35.49%)
- Process ontology (28.09%)
What were the highlights of her more recent work (between 2013-2021)?
- Linked data (13.89%)
- World Wide Web (35.49%)
- Ontology (54.63%)
In recent papers she was focusing on the following fields of study:
Asunción Gómez-Pérez mostly deals with Linked data, World Wide Web, Ontology, RDF and Data science.
The Linked data study combines topics in areas such as Publishing and Cloud computing.
Her research in World Wide Web intersects with topics in Comparative method, User experience design and Usability.
Her work on Ontology is being expanded to include thematically relevant topics such as Software engineering.
Asunción Gómez-Pérez interconnects Context and Scale in the investigation of issues within Data science.
She combines subjects such as Software development, Upper ontology and Knowledge management with her study of Ontology-based data integration.
Between 2013 and 2021, her most popular works were:
- OOPS! (OntOlogy Pitfall Scanner!): An On-line Tool for Ontology Evaluation (96 citations)
- Loupe - An Online Tool for Inspecting Datasets in the Linked Data Cloud. (42 citations)
- The NeOn Methodology framework: A scenario-based methodology for ontology development (41 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Database
- The Internet
Asunción Gómez-Pérez focuses on Linked data, World Wide Web, Ontology, Data science and Process ontology.
Her study explores the link between World Wide Web and topics such as Best practice that cross with problems in Open data.
Her Ontology research includes elements of Domain and Glossary.
Her Data science study integrates concerns from other disciplines, such as Semantics, Context and Cloud computing.
Her study in Process ontology is interdisciplinary in nature, drawing from both Ontology-based data integration and Upper ontology.
Her Open Biomedical Ontologies research is multidisciplinary, relying on both Ontology engineering and IDEF5.
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