Hans-Peter Kriegel
E391528
Hans-Peter Kriegel is a German computer scientist renowned for his influential contributions to data mining and database systems, particularly in clustering and similarity search.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Hans-Peter Kriegel canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3450803 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Hans-Peter Kriegel Context triple: [SIGKDD Service Award, notableRecipient, Hans-Peter Kriegel]
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A.
Rainer G. Rümmler
Rainer G. Rümmler was a German architect best known for designing numerous distinctive Berlin U-Bahn stations in the latter half of the 20th century.
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B.
Christian Gudegast
Christian Gudegast is an American filmmaker and screenwriter known for writing action and crime thrillers and for making his feature directorial debut with the heist film "Den of Thieves."
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C.
Harald Ganzinger
Harald Ganzinger was a prominent German computer scientist known for his influential work in automated theorem proving and term rewriting systems.
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D.
Eckhard Pfeiffer
Eckhard Pfeiffer is a German-American businessman best known for serving as CEO of Compaq Computer Corporation during its rapid expansion in the 1990s.
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E.
Juergen Weigert
Juergen Weigert is a software developer best known for his significant contributions to the GNU Screen terminal multiplexer project.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Hans-Peter Kriegel Target entity description: Hans-Peter Kriegel is a German computer scientist renowned for his influential contributions to data mining and database systems, particularly in clustering and similarity search.
-
A.
Rainer G. Rümmler
Rainer G. Rümmler was a German architect best known for designing numerous distinctive Berlin U-Bahn stations in the latter half of the 20th century.
-
B.
Christian Gudegast
Christian Gudegast is an American filmmaker and screenwriter known for writing action and crime thrillers and for making his feature directorial debut with the heist film "Den of Thieves."
-
C.
Harald Ganzinger
Harald Ganzinger was a prominent German computer scientist known for his influential work in automated theorem proving and term rewriting systems.
-
D.
Eckhard Pfeiffer
Eckhard Pfeiffer is a German-American businessman best known for serving as CEO of Compaq Computer Corporation during its rapid expansion in the 1990s.
-
E.
Juergen Weigert
Juergen Weigert is a software developer best known for his significant contributions to the GNU Screen terminal multiplexer project.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
computer scientist ⓘ person ⓘ |
| countryOfCitizenship | Germany ⓘ |
| employer | Ludwig Maximilian University of Munich NERFINISHED ⓘ |
| fieldOfWork |
clustering
ⓘ
computer science ⓘ data mining ⓘ database systems ⓘ similarity search ⓘ |
| hasAcademicDiscipline | information systems ⓘ |
| hasAffiliation | Ludwig Maximilian University of Munich ⓘ |
| hasContribution |
advancement of spatial database technology
ⓘ
development of algorithms for similarity search ⓘ development of density-based clustering methods ⓘ development of index structures for high-dimensional data ⓘ |
| influenced |
research in density-based clustering
ⓘ
research in outlier detection ⓘ research in spatial databases ⓘ |
| knownFor |
DBSCAN algorithm
ⓘ
LOF outlier detection algorithm ⓘ OPTICS clustering algorithm ⓘ density-based clustering ⓘ high-dimensional data analysis ⓘ indexing methods for similarity search ⓘ outlier detection methods ⓘ spatial databases ⓘ |
| languageSpoken |
English
ⓘ
German ⓘ |
| nationality | German ⓘ |
| notableWork |
DBSCAN: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
ⓘ
LOF: Identifying Density-Based Local Outliers ⓘ OPTICS: Ordering Points To Identify the Clustering Structure ⓘ |
| occupation |
researcher
ⓘ
university professor ⓘ |
| positionHeld | professor of computer science ⓘ |
| researchInterest |
clustering of large datasets
ⓘ
data mining algorithms ⓘ knowledge discovery in databases ⓘ similarity search in databases ⓘ spatial data indexing ⓘ |
| workLocation | Munich ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Hans-Peter Kriegel Description of subject: Hans-Peter Kriegel is a German computer scientist renowned for his influential contributions to data mining and database systems, particularly in clustering and similarity search.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.