What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- World Wide Web
- Database
Her primary areas of investigation include Semantic Web, Information retrieval, World Wide Web, Semantic Web Stack and Social Semantic Web.
Her Semantic computing study, which is part of a larger body of work in Semantic Web, is frequently linked to Ontology and Bridging, bridging the gap between disciplines.
Her Upper ontology and Semantic analytics study in the realm of Information retrieval interacts with subjects such as Set and Best practice.
Data Web, Web standards and Web modeling are the subjects of her World Wide Web studies.
She studies OWL-S which is a part of Semantic Web Stack.
Her OWL-S research includes themes of Ontology-based data integration, WS-Policy and Process ontology.
Her most cited work include:
- Bringing semantics to web services: the OWL-S approach (742 citations)
- Toward a New Generation of Semantic Web Applications (142 citations)
- Learning domain ontologies for Web service descriptions: an experiment in bioinformatics (120 citations)
What are the main themes of her work throughout her whole career to date?
Marta Sabou mainly focuses on Semantic Web, World Wide Web, Information retrieval, Semantic Web Stack and Ontology.
Her Semantic Web research is multidisciplinary, relying on both Exploit, Semantic data model, Data science and Question answering.
Her studies in Semantic Web Stack integrate themes in fields like Social Semantic Web, Semantic grid and Semantic computing.
Her Social Semantic Web research integrates issues from Web modeling and Data Web.
The Upper ontology and Ontology engineering research Marta Sabou does as part of her general Ontology study is frequently linked to other disciplines of science, such as Reuse, therefore creating a link between diverse domains of science.
The various areas that Marta Sabou examines in her Upper ontology study include Ontology-based data integration, Process ontology and Ontology Inference Layer.
She most often published in these fields:
- Semantic Web (45.66%)
- World Wide Web (42.77%)
- Information retrieval (32.95%)
What were the highlights of her more recent work (between 2015-2020)?
- Semantic Web (45.66%)
- Data science (17.34%)
- Software engineering (13.87%)
In recent papers she was focusing on the following fields of study:
Semantic Web, Data science, Software engineering, Crowdsourcing and Linked data are her primary areas of study.
Her Semantic Web study is focused on World Wide Web in general.
The concepts of her Data science study are interwoven with issues in Exploit and Open research.
Her Software engineering study integrates concerns from other disciplines, such as Ontology, Human computation and Representation.
Her studies deal with areas such as Annotation, Task and Natural language processing as well as Crowdsourcing.
Her Linked data research includes elements of Data exchange, Dashboard, Data management and RDF.
Between 2015 and 2020, her most popular works were:
- Supporting the engineering of cyber-physical production systems with the AutomationML analyzer (25 citations)
- Ontology-Based Data Integration in Multi-Disciplinary Engineering Environments: A Review (19 citations)
- Semantic Web Technologies for Intelligent Engineering Applications (13 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Database
- The Internet
Marta Sabou mostly deals with Data science, Semantic Web, Linked data, Ontology-based data integration and Software engineering.
Her study in the field of Analytics also crosses realms of Business analytics.
Her Semantic Web study deals with the bigger picture of World Wide Web.
Her Linked data research incorporates themes from Cultural analytics, Decision support system and Data cube.
Marta Sabou interconnects Data mapping and Process ontology in the investigation of issues within Ontology-based data integration.
Marta Sabou has researched Software engineering in several fields, including Ontology and OWL-S.
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