Demo Data from EDBT 2026 / reviewers in the wild / expert
Christof Müller
dblp:81/4072
· DBLP profile ↗
6ranked-venue papers
2as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 5 · 1 first-authorDatabases, data management, data science and information retrieval · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
2 papers |
Knowledge representation and reasoning · 63% Information extraction and text analysis · 37% | |
| Databases, data mining, and information retrieval
2 papers |
Information retrieval · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning › ontology
lexical knowledge base |
0.1 | 1 | 2008 | Using Wiktionary for Computing Semantic Relatedness · AAAI 2008 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology |
0.1 | 1 | 2008 | Using Wiktionary for Computing Semantic Relatedness · AAAI 2008 |
Information retrieval › text analysis
semantic relatedness |
0.1 | 1 | 2008 | Using Wiktionary for Computing Semantic Relatedness · AAAI 2008 |
Natural language and speech › Information extraction and text analysis › lexical semantics
semantic relatedness |
0.1 | 1 | 2007 | What to be? - Electronic Career Guidance Based on Semantic Relatedness · ACL 2007 |
Natural language and speech › Information extraction and text analysis
lexical semantics |
0.0 | 1 | 2008 | Using Wiktionary for Computing Semantic Relatedness · AAAI 2008 |
Methods — techniques the papers use, named apart from their topics
wiktionary · 0.2semantic relatedness · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Semantically Enhanced Term Frequency
Christof Müller, Iryna Gurevych |
ECIR | 1 |
| 2009 | A Study on the Semantic Relatedness of Query and Document Terms in Information Retrieval
Christof Müller, Iryna Gurevych |
EMNLP | 1 |
| 2008 | Using Wiktionary for Computing Semantic Relatedness
Torsten Zesch, Christof Müller, Iryna Gurevych |
AAAI | 2 |
| 2008 | Using tag semantic network for keyphrase extraction in blogsabstractFolksonomies provide a comfortable way to search and browse the blogosphere. As the tags in the blogosphere are sparse, ambiguous and too general, this paper proposes both a supervised and an unsupervised approach that extract tags from posts using a tag semantic network. We evaluate the two methods on a blog dataset and observe an improvement in F1-measure from 0.23 to 0.50 when compared to the baseline system. Lizhen Qu, Christof Müller, Iryna Gurevych |
CIKM | 2 |
| 2008 | Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary
Torsten Zesch, Christof Müller, Iryna Gurevych |
LREC | 2 |
| 2007 | What to be? - Electronic Career Guidance Based on Semantic Relatedness
Iryna Gurevych, Christof Müller, Torsten Zesch |
ACL | 2 |