What is he best known for?
The fields of study he is best known for:
- Programming language
- Artificial intelligence
- Database
Georg Lausen spends much of his time researching Information retrieval, SPARQL, Programming language, Theoretical computer science and Database.
The Recommender system research Georg Lausen does as part of his general Information retrieval study is frequently linked to other disciplines of science, such as Order, Metric, User satisfaction and Diversification, therefore creating a link between diverse domains of science.
SPARQL is a subfield of RDF that Georg Lausen investigates.
As part of one scientific family, he deals mainly with the area of RDF, narrowing it down to issues related to the RDF query language, and often SQL.
Many of his research projects under Programming language are closely connected to F-logic with F-logic, tying the diverse disciplines of science together.
The Object-oriented programming study combines topics in areas such as Information integration, Programming style, Fifth-generation programming language, Programming language theory and Semantics.
His most cited work include:
- Logical foundations of object-oriented and frame-based languages (1363 citations)
- Improving recommendation lists through topic diversification (1332 citations)
- F-logic: a higher-order language for reasoning about objects, inheritance, and scheme (352 citations)
What are the main themes of his work throughout his whole career to date?
Georg Lausen mainly focuses on Information retrieval, SPARQL, RDF, Programming language and Theoretical computer science.
His Information retrieval research is mostly focused on the topic Recommender system.
His SPARQL research includes themes of Scalability, SQL, Database and Benchmark.
The RDF study which covers Relational database that intersects with Data integrity.
The concepts of his Programming language study are interwoven with issues in Query language and Semantics.
In his works, Georg Lausen conducts interdisciplinary research on Theoretical computer science and F-logic.
He most often published in these fields:
- Information retrieval (29.73%)
- SPARQL (20.95%)
- RDF (20.95%)
What were the highlights of his more recent work (between 2011-2019)?
- RDF (20.95%)
- SPARQL (20.95%)
- Information retrieval (29.73%)
In recent papers he was focusing on the following fields of study:
Georg Lausen mostly deals with RDF, SPARQL, Information retrieval, Recommender system and RDF Schema.
He has researched RDF in several fields, including Linked data, Relational database, Theoretical computer science and Computer cluster.
His research integrates issues of Conjunctive query and Graph in his study of Theoretical computer science.
His SPARQL research is multidisciplinary, incorporating elements of Scalability, SQL, Database and RDF query language.
His Information retrieval research incorporates elements of Syntax and World Wide Web.
His Recommender system study combines topics from a wide range of disciplines, such as Domain and Operations research.
Between 2011 and 2019, his most popular works were:
- S2RDF: RDF querying with SPARQL on spark (105 citations)
- Sempala: Interactive SPARQL Query Processing on Hadoop (48 citations)
- S2X: Graph-Parallel Querying of RDF with GraphX (40 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Database
- Artificial intelligence
His primary areas of investigation include SPARQL, RDF, Database, RDF Schema and Scalability.
His studies deal with areas such as Recommender system and MovieLens as well as SPARQL.
His RDF research is multidisciplinary, relying on both Linked data, Theoretical computer science and Data model.
His research in Database intersects with topics in Rdf graph, RDF query language and Big data.
His study on RDF Schema is covered under Information retrieval.
The study of Information retrieval is intertwined with the study of World Wide Web in a number of ways.
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