What is he best known for?
The fields of study he is best known for:
- Programming language
- Database
- Artificial intelligence
His primary areas of study are Query language, Information retrieval, Database, Theoretical computer science and Programming language.
His research integrates issues of Abstract syntax tree and Syntax, Natural language processing in his study of Query language.
The concepts of his Information retrieval study are interwoven with issues in Tuple and Data integration.
The Database study combines topics in areas such as XML, Graph rewriting and Benchmark.
His research in Theoretical computer science intersects with topics in Set, Probabilistic logic, Materialized view, Conjunctive query and Relational algebra.
The various areas that Val Tannen examines in his Conjunctive query study include Datalog, Discrete mathematics, Semantics and Information integration.
His most cited work include:
- Provenance semirings (611 citations)
- The iPlant Collaborative: Cyberinfrastructure for Plant Biology. (353 citations)
- Principles of programming with complex objects and collection types (240 citations)
What are the main themes of his work throughout his whole career to date?
Val Tannen mainly focuses on Theoretical computer science, Query language, Information retrieval, Database and Programming language.
His Theoretical computer science research is multidisciplinary, relying on both Query optimization, Materialized view, Data integrity, Conjunctive query and Relational algebra.
He has researched Conjunctive query in several fields, including Algorithm, Set and Containment.
Val Tannen combines subjects such as Fragment and Negation with his study of Query language.
He works mostly in the field of Information retrieval, limiting it down to concerns involving Data integration and, occasionally, Data exchange, Relational database and Data science.
His studies deal with areas such as Probabilistic logic and Graph as well as Database.
He most often published in these fields:
- Theoretical computer science (29.23%)
- Query language (23.08%)
- Information retrieval (20.00%)
What were the highlights of his more recent work (between 2013-2021)?
- Theoretical computer science (29.23%)
- Provenance (8.46%)
- Programming language (14.62%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Theoretical computer science, Provenance, Programming language, Model checking and Tuple.
Val Tannen specializes in Theoretical computer science, namely Datalog.
His Programming language study combines topics from a wide range of disciplines, such as Translation and Incremental view maintenance, Materialized view.
His Tuple study integrates concerns from other disciplines, such as Algorithm, Analytics, Data mining and Relational algebra.
His study explores the link between Relational algebra and topics such as Sketch that cross with problems in Discrete mathematics.
His study focuses on the intersection of Conjunctive query and fields such as Structure with connections in the field of Database theory, Query language, Negation, Finite model theory and Congruence relation.
Between 2013 and 2021, his most popular works were:
- Circuits for Datalog Provenance (44 citations)
- The Semiring Framework for Database Provenance (26 citations)
- Incremental View Maintenance For Collection Programming (15 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Database
- Artificial intelligence
The scientist’s investigation covers issues in Data mining, Context, Programming language, Theoretical computer science and Semiring.
His research investigates the connection between Data mining and topics such as Tuple that intersect with issues in Missing data, Imputation, Algebraic number and Database.
He interconnects Translation and Incremental view maintenance, Materialized view in the investigation of issues within Programming language.
Many of his studies on Theoretical computer science apply to Probabilistic logic as well.
His Probabilistic logic research is multidisciplinary, incorporating elements of Datalog, Construct, Representation and P.
The study incorporates disciplines such as Commutative property and Computation in addition to Semiring.
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