What is he best known for?
The fields of study he is best known for:
- Programming language
- Artificial intelligence
- Database
His scientific interests lie mostly in Programming language, Knowledge representation and reasoning, Description logic, Theoretical computer science and Software requirements specification.
His work in the fields of Requirements modeling, Formal language and Software system overlaps with other areas such as Extensional definition.
His Knowledge representation and reasoning study incorporates themes from Transitive closure, Key and Knowledge engineering.
His Description logic research incorporates themes from Discrete mathematics, The Internet, Formalism, Variety and Data science.
His Theoretical computer science research incorporates elements of Algorithm, Computation, Semantics and Argument.
His Software requirements specification research includes elements of Functional specification, Consistency, Specification language, Formal specification and System requirements specification.
His most cited work include:
- Telos: representing knowledge about information systems (712 citations)
- CLASSIC: a structural data model for objects (509 citations)
- LIVING WITH CLASSIC: When and How to Use a KL-ONE-Like Language (384 citations)
What are the main themes of his work throughout his whole career to date?
Description logic, Knowledge representation and reasoning, Programming language, Theoretical computer science and Artificial intelligence are his primary areas of study.
His work is dedicated to discovering how Description logic, Knowledge base are connected with Knowledge management and Information retrieval and other disciplines.
In the field of Knowledge representation and reasoning, his study on Model-based reasoning overlaps with subjects such as Open Knowledge Base Connectivity.
His works in Software requirements specification, Formal specification, Exception handling, Consistency and Specification language are all subjects of inquiry into Programming language.
Alexander Borgida has researched Software requirements specification in several fields, including Systems engineering, Software development process, Requirement prioritization and Functional specification.
As a member of one scientific family, Alexander Borgida mostly works in the field of Theoretical computer science, focusing on Semantics and, on occasion, Semantics.
He most often published in these fields:
- Description logic (31.90%)
- Knowledge representation and reasoning (22.70%)
- Programming language (20.86%)
What were the highlights of his more recent work (between 2011-2021)?
- Requirements engineering (12.27%)
- Software engineering (16.56%)
- Non-functional requirement (7.98%)
In recent papers he was focusing on the following fields of study:
Alexander Borgida mainly focuses on Requirements engineering, Software engineering, Non-functional requirement, Description logic and Artificial intelligence.
The various areas that Alexander Borgida examines in his Requirements engineering study include Agile software development and Semantics.
His research integrates issues of Software system and Knowledge management in his study of Software engineering.
His research on Non-functional requirement also deals with topics like
- Software requirements specification and related System requirements specification,
- Functional requirement which intersects with area such as Syntax, Specification language, Sketch and Interpretation,
- Systems engineering and related Modeling language, Formal specification and Ontology.
His Description logic study improves the overall literature in Programming language.
The Programming language study combines topics in areas such as Range and Specialization.
Between 2011 and 2021, his most popular works were:
- Strategic business modeling: representation and reasoning (109 citations)
- Agile requirements evolution via paraconsistent reasoning (34 citations)
- Runtime goal models: Keynote (31 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Database
Alexander Borgida spends much of his time researching Software engineering, Non-functional requirement, Requirements engineering, Systems engineering and Ontology.
Alexander Borgida works mostly in the field of Software engineering, limiting it down to concerns involving Knowledge management and, occasionally, Process modeling, Business Process Model and Notation and Business architecture.
His Non-functional requirement research focuses on subjects like Software requirements specification, which are linked to System requirements specification.
He works mostly in the field of Systems engineering, limiting it down to topics relating to Formal specification and, in certain cases, Software system and State, as a part of the same area of interest.
His work deals with themes such as Logical consequence, Modeling language, Data mining and Conservative extension, which intersect with Ontology.
Alexander Borgida has included themes like Description logic and Artificial intelligence in his Data mining study.
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