What is he best known for?
The fields of study he is best known for:
- Programming language
- Artificial intelligence
- Database
Carlo Zaniolo mainly investigates Database, Theoretical computer science, Programming language, SQL and Data mining.
Carlo Zaniolo has included themes like Information retrieval and Document Structure Description in his Database study.
His work deals with themes such as Joins, Simple, Conjunctive query and Relational algebra, which intersect with Theoretical computer science.
His studies deal with areas such as Relational database and Database schema, Semi-structured model as well as Programming language.
The various areas that Carlo Zaniolo examines in his SQL study include Query language and Data manipulation language.
His Data mining study integrates concerns from other disciplines, such as Hash function and Extension.
His most cited work include:
- Efficient structural joins on indexed XML documents (277 citations)
- Advanced Database Systems (265 citations)
- Stable models and non-determinism in logic programs with negation (215 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Programming language, Theoretical computer science, Database, Information retrieval and SQL.
His Theoretical computer science research is multidisciplinary, incorporating perspectives in Rewriting, Computation, Set, Greedy algorithm and Conjunctive query.
His work is connected to Database theory, Relational database and Database schema, as a part of Database.
His biological study spans a wide range of topics, including XML validation, XML database, XML Schema Editor, XML and Document Structure Description.
His study in SQL is interdisciplinary in nature, drawing from both Query language, Temporal database, Data mining and Query by Example.
His Data mining research includes elements of Machine learning, Cluster analysis and Artificial intelligence.
He most often published in these fields:
- Programming language (25.50%)
- Theoretical computer science (21.81%)
- Database (20.68%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (13.03%)
- Scalability (5.67%)
- Datalog (12.75%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Scalability, Datalog, Machine learning and Embedding.
His study looks at the intersection of Artificial intelligence and topics like Natural language processing with Semantic change.
Carlo Zaniolo combines subjects such as Deductive database, Analytics, Information retrieval and Internet privacy with his study of Scalability.
His Datalog research is within the category of Programming language.
His Embedding research is multidisciplinary, relying on both Relation and Encoding.
His Recursion research incorporates elements of Graph, SQL and Semantics.
Between 2016 and 2021, his most popular works were:
- Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment (149 citations)
- Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment (95 citations)
- Multifaceted protein-protein interaction prediction based on Siamese residual RCNN. (52 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Artificial intelligence
- Database
His primary scientific interests are in Artificial intelligence, Scalability, Theoretical computer science, Embedding and Big data.
The Artificial intelligence study combines topics in areas such as Machine learning, Pattern recognition and Natural language processing.
His research in Scalability intersects with topics in Datalog, Programming language, Deductive database, Information retrieval and Analytics.
In the subject of general Theoretical computer science, his work in Recursion is often linked to Join, thereby combining diverse domains of study.
His Embedding study incorporates themes from Translation, Relation and Knowledge graph.
His Software portability study which covers SQL that intersects with Very large database.
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