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.
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.
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.
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.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Logical foundations of object-oriented and frame-based languages
Michael Kifer;Georg Lausen;James Wu.
Journal of the ACM (1995)
Improving recommendation lists through topic diversification
Cai-Nicolas Ziegler;Sean M. McNee;Joseph A. Konstan;Georg Lausen.
the web conference (2005)
F-logic: a higher-order language for reasoning about objects, inheritance, and scheme
Michael Kifer;Georg Lausen.
international conference on management of data (1989)
SP^2Bench: A SPARQL Performance Benchmark
Michael Schmidt;Thomas Hornung;Georg Lausen;Christoph Pinkel.
international conference on data engineering (2009)
Propagation Models for Trust and Distrust in Social Networks
Cai-Nicolas Ziegler;Georg Lausen.
Information Systems Frontiers (2005)
Spreading activation models for trust propagation
C.-N. Ziegler;G. Lausen.
ieee international conference on e technology e commerce and e service (2004)
Foundations of SPARQL query optimization
Michael Schmidt;Michael Meier;Georg Lausen.
international conference on database theory (2010)
ViPER: augmenting automatic information extraction with visual perceptions
Kai Simon;Georg Lausen.
conference on information and knowledge management (2005)
Managing semistructured data with florid: a deductive object-oriented perspective
Bertram Ludäscher;Rainer Himmeröder;Georg Lausen;Wolfgang May.
Information Systems (1998)
Taxonomy-driven computation of product recommendations
Cai-Nicolas Ziegler;Georg Lausen;Lars Schmidt-Thieme.
conference on information and knowledge management (2004)
Profile was last updated on December 6th, 2021.
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