World's Best Scientists 2026 revealed!
Philipp Cimiano

Philipp Cimiano

Award Badge
Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
64
Citations
17085
World Ranking
2594
National Ranking
114

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Philipp Cimiano is affiliated with Bielefeld University in Germany. Their primary research area lies within Computer Science, with a significant focus on Artificial Intelligence, encompassing 104 publications. Additional fields of study include Information Systems, Molecular Biology, General Health Professions, and Management Science and Operations Research.

The scientist's research interests cover multiple key topics:

  • Topic Modeling
  • Semantic Web and Ontologies
  • Natural Language Processing Techniques
  • Biomedical Text Mining and Ontologies
  • Explainable Artificial Intelligence (XAI)
  • Privacy-Preserving Technologies in Data
  • Machine Learning in Healthcare

Cimiano has contributed to a variety of recent publications, including:

  • "Patient listening on social media for patient-focused drug development: a synthesis of considerations from patients, industry and regulators," 2024, Frontiers in Medicine
  • "Beyond one-shot explanations: a systematic literature review of dialogue-based xAI approaches," 2025, Artificial Intelligence Review
  • "Scalable Event-Based Clustering of Social Media Via Record Linkage Techniques," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems," 2020, IEEE Transactions on Cognitive and Developmental Systems
  • "Recent Developments for the Linguistic Linked Open Data Infrastructure," 2020, OPUS (Augsburg University)

The scientist has frequently published in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Biomedical Semantics
  • it - Information Technology
  • Proceedings of the International AAAI Conference on Web and Social Media

Collaborators who have co-authored with Philipp Cimiano extensively include:

  • Basil Ell
  • Mohammad Fazleh Elahi
  • Christoph Düsing
  • Olivia Sanchez-Graillet
  • Christian Witte

Cimiano has also contributed to book literature, publishing one book through Springer Science+Business Media titled Natural Language Processing and Information Systems in 2020.

Best Publications

  • Ontology Learning and Population from Text: Algorithms, Evaluation and Applications

    Philipp Cimiano

  • Learning concept hierarchies from text corpora using formal concept analysis

    Philipp Cimiano;Andreas Hotho;Steffen Staab

  • Semantic annotation for knowledge management: Requirements and a survey of the state of the art

    Victoria Uren;Philipp Cimiano;José Iria;Siegfried Handschuh

  • Text2Onto: a framework for ontology learning and data-driven change discovery

    Philipp Cimiano;Johanna Völker

  • Template-based question answering over RDF data

    Christina Unger;Lorenz Bühmann;Jens Lehmann;Axel-Cyrille Ngonga Ngomo

  • Ontology Learning from Text: Methods, Evaluation and Applications

    B. Magnini;P. Buitelaar;P. Cimiano

  • Towards the self-annotating web

    Philipp Cimiano;Siegfried Handschuh;Steffen Staab

  • Ontology Learning from Text: An Overview

    Paul Buitelaar;Philipp Cimiano;Bernardo Magnini

  • Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data

    Thanh Tran;Haofen Wang;Sebastian Rudolph;Philipp Cimiano

  • Natural language interfaces : what's the problem? -a data-driven quantitative analysis

    Philipp Cimiano;Michael Minock

  • Ontology-based interpretation of keywords for semantic search

    Thanh Tran;Philipp Cimiano;Sebastian Rudolph;Rudi Studer

  • Learning Taxonomic Relations from Heterogeneous Sources of Evidence

    Philipp Cimiano;Aleksander Pivk;Lars Schmidt-Thieme;Steffen Staab

  • Linking lexical resources and ontologies on the semantic web with lemon

    John McCrae;Dennis Spohr;Philipp Cimiano

  • Gimme' the context: context-driven automatic semantic annotation with C-PANKOW

    Philipp Cimiano;Günter Ladwig;Steffen Staab

  • Interchanging lexical resources on the Semantic Web

    John Mccrae;Guadalupe Aguado-De-Cea;Paul Buitelaar;Philipp Cimiano

  • Comparing conceptual, divisive and agglomerative clustering for learning taxonomies from text

    Philipp Cimiano;Andreas Hotho;Steffen Staab

  • Towards Linguistically Grounded Ontologies

    Paul Buitelaar;Philipp Cimiano;Peter Haase;Michael Sintek

  • Learning by googling

    Philipp Cimiano;Steffen Staab

  • Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies

    Philipp Cimiano;Andreas Hotho;Gerd Stumme;Julien Tane

  • Evaluating question answering over linked data

    Vanessa Lopez;Christina Unger;Philipp Cimiano;Enrico Motta

Frequent Co-Authors

Steffen Staab
Steffen Staab University of Stuttgart
Peter Haase
Peter Haase Metaphacts
Andreas Hotho
Andreas Hotho University of Würzburg
Fabio Ciravegna
Fabio Ciravegna University of Turin
Asunción Gómez-Pérez
Asunción Gómez-Pérez Technical University of Madrid
Hans Werner Müller
Hans Werner Müller Heinrich Heine University Düsseldorf
York Sure
York Sure Karlsruhe Institute of Technology
Lars Schmidt-Thieme
Lars Schmidt-Thieme University of Hildesheim
Michael Sintek
Michael Sintek German Research Centre for Artificial Intelligence

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a future in Computer Science opens the door to a wide range of online degree and career options. Prospective students can start their journey with easy online associate degrees that focus on foundational skills, making them ideal for those seeking a fast, accessible entry point to tech careers.

For those looking to advance their expertise, pursuing one of the cheapest online masters degree programs may be an excellent choice. These programs typically offer flexibility, affordability, and the advanced knowledge needed for specialized roles in computing and IT.

Beyond technical fields, leadership roles are critical in the tech industry. You might consider an phd in organizational leadership or an online edd if you're interested in organizational strategy, academic advancement, or executive roles.

Ultimately, choosing the right online degree depends on your career goals, budget, and desired level of expertise. Taking advantage of flexible and affordable online programs can help you build a successful and rewarding career in technology or related fields.

Best Scientists Citing Philipp Cimiano

Trending Scientists