What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Database
His primary areas of study are Information retrieval, Artificial intelligence, Information extraction, WordNet and Knowledge base.
His studies in Information retrieval integrate themes in fields like Ontology, Taxonomy, Web page and Binary relation.
His studies deal with areas such as Field, Counterexample and Natural language processing as well as Artificial intelligence.
The concepts of his WordNet study are interwoven with issues in Ontology, Knowledge representation and reasoning, Infobox and Extension.
His Infobox research is multidisciplinary, incorporating perspectives in Correctness and Knowledge extraction.
His work in Knowledge base addresses subjects such as Query language, which are connected to disciplines such as Context, External Data Representation and Semantic search.
His most cited work include:
- Yago: a core of semantic knowledge (2823 citations)
- YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia (862 citations)
- YAGO: A Large Ontology from Wikipedia and WordNet (670 citations)
What are the main themes of his work throughout his whole career to date?
Fabian M. Suchanek mostly deals with Information retrieval, World Wide Web, Knowledge base, Information extraction and Ontology.
His Information retrieval research includes themes of Artificial intelligence, Knowledge representation and reasoning and Natural language processing.
He has included themes like RDF and Data science in his Knowledge base study.
His Information extraction study which covers Knowledge extraction that intersects with Knowledge-based systems.
His Ontology research is multidisciplinary, relying on both Ontology, Probabilistic logic and RDF Schema.
His WordNet research integrates issues from Thesaurus, Dimension and Extension.
He most often published in these fields:
- Information retrieval (41.79%)
- World Wide Web (25.37%)
- Knowledge base (22.39%)
What were the highlights of his more recent work (between 2016-2020)?
- Information retrieval (41.79%)
- Knowledge base (22.39%)
- Web service (11.19%)
In recent papers he was focusing on the following fields of study:
Fabian M. Suchanek mainly investigates Information retrieval, Knowledge base, Web service, Regular expression and Path.
His research integrates issues of Rule mining and Template based in his study of Information retrieval.
His Knowledge base study combines topics from a wide range of disciplines, such as Description logic, Software engineering and Web Ontology Language.
His biological study spans a wide range of topics, including Rewriting, Orchestration, If and only if and Service.
The various areas that Fabian M. Suchanek examines in his Regular expression study include Precision and recall, Information extraction and Algebra.
Information extraction is closely attributed to Theoretical computer science in his work.
Between 2016 and 2020, his most popular works were:
- Predicting Completeness in Knowledge Bases (54 citations)
- NeuroQuery: comprehensive meta-analysis of human brain mapping (25 citations)
- YAGO 4: A Reason-able Knowledge Base (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Database
His primary scientific interests are in Information retrieval, Knowledge base, Rule mining, Data mining and Completeness.
Much of his study explores Information retrieval relationship to Template based.
His work carried out in the field of Knowledge base brings together such families of science as Ontology, Web Ontology Language and Description logic.
The Rule mining study combines topics in areas such as Artificial neural network, Knowledge representation and reasoning and Semantic data mining.
His study in Data mining is interdisciplinary in nature, drawing from both Correctness and Entity linking.
Combining a variety of fields, including Completeness, Artificial intelligence, Spouse, Class and Natural language processing, are what the author presents in his essays.
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