What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- World Wide Web
His primary areas of study are Information retrieval, World Wide Web, Folksonomy, Formal concept analysis and Semantic Web.
His Information retrieval study combines topics in areas such as Vocabulary and Artificial intelligence, Knowledge representation and reasoning.
World Wide Web is closely attributed to Library science in his work.
His Folksonomy research incorporates elements of Web 2.0, Structure, Semantic similarity, Semantics and Bookmarking.
Gerd Stumme has included themes like Data mining, Knowledge extraction, Software development, Formal methods and Ontology engineering in his Formal concept analysis study.
His biological study focuses on Social Semantic Web.
His most cited work include:
- Information retrieval in folksonomies: search and ranking (812 citations)
- FCA-MERGE: bottom-up merging of ontologies (552 citations)
- Tag Recommendations in Folksonomies (478 citations)
What are the main themes of his work throughout his whole career to date?
World Wide Web, Information retrieval, Formal concept analysis, Artificial intelligence and Data science are his primary areas of study.
His Information retrieval study frequently draws connections to adjacent fields such as Cluster analysis.
The Formal concept analysis study combines topics in areas such as Ontology, Theoretical computer science, Knowledge representation and reasoning, Association rule learning and Knowledge extraction.
His Association rule learning research is classified as research in Data mining.
He combines subjects such as Machine learning, Pattern recognition, Task and Natural language processing with his study of Artificial intelligence.
His research in Data science intersects with topics in Social network analysis and Knowledge acquisition.
He most often published in these fields:
- World Wide Web (33.45%)
- Information retrieval (25.78%)
- Formal concept analysis (19.86%)
What were the highlights of his more recent work (between 2015-2021)?
- Theoretical computer science (7.67%)
- Formal concept analysis (19.86%)
- Artificial intelligence (12.54%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Theoretical computer science, Formal concept analysis, Artificial intelligence, Information retrieval and World Wide Web.
His research on Theoretical computer science also deals with topics like
- Data set together with Metric, Intrinsic dimension and Curse of dimensionality,
- Transfer, Order and Dimension most often made with reference to Graph drawing,
- Feature selection that intertwine with fields like Entropy, Association rule learning, Dimension, Computational complexity theory and Exponential function,
- Graph which is related to area like Open problem and Data structure.
The various areas that Gerd Stumme examines in his Formal concept analysis study include Context, Null model, Data visualization, Bipartite graph and Calculus.
When carried out as part of a general Artificial intelligence research project, his work on Similarity is frequently linked to work in Signal strength, therefore connecting diverse disciplines of study.
Gerd Stumme works in the field of Information retrieval, namely Knowledge graph.
World Wide Web and Tag system are commonly linked in his work.
Between 2015 and 2021, his most popular works were:
- From Active Learning to Dedicated Collaborative Interactive Learning (17 citations)
- Mining social media to inform peatland fire and haze disaster management (16 citations)
- Discovering Implicational Knowledge in Wikidata (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- World Wide Web
Gerd Stumme focuses on World Wide Web, Formal concept analysis, Artificial intelligence, Bookmarking and Structure.
His World Wide Web research integrates issues from Hash function and Ranking.
His Formal concept analysis research incorporates themes from Data visualization, Principal, Systematic process, Complex data type and Calculus.
His Artificial intelligence research includes themes of Task and Natural language processing.
His Bookmarking research is multidisciplinary, incorporating perspectives in Recommender system, Set, Data mining and Tag system.
His Structure research is multidisciplinary, relying on both Resource, Preprocessor, Graph and Social network.
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