World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
81
Citations
22767
World Ranking
1038
National Ranking
552

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to semantic data integration techniques
  • 2017 - ACM Fellow For contributions to artificial intelligence, semantic web, and semantic data integration
  • 2014 - AAAI Robert S. Engelmore Memorial Lecture Award For seminal contributions to machine learning and information integration, high-impact deployed applications and open-source projects, and extensive service to AAAI and international AI
  • 2008 - ACM Distinguished Member
  • 2004 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to planning and information integration and the application of AI methods to complex domains.

Overview

Craig A. Knoblock is affiliated with the University of Southern California in the United States. Their research spans several fields with a primary focus on Computer Science, followed by Environmental Science and Social Sciences. Within these fields, they have contributed extensively to subfields such as Artificial Intelligence, Geography, Planning and Development, Computer Vision and Pattern Recognition, Global and Planetary Change, and Signal Processing.

Their scholarly output includes numerous papers published in various venues, with notable papers including the following:

  • Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making (2021), published in ACM Transactions on Interactive Intelligent Systems
  • Towards the automated large-scale reconstruction of past road networks from historical maps (2022), published in Computers Environment and Urban Systems
  • Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents (2021), published in Remote Sensing
  • Building spatio-temporal knowledge graphs from vectorized topographic historical maps (2022), published in Semantic Web
  • Combining Remote Sensing Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents (2021), published in Preprints.org

Frequent coauthors include:

  • Yao-Yi Chiang
  • Johannes Uhl
  • Stefan Leyk
  • Basel Shbita
  • Weiwei Duan

Craig A. Knoblock's work has been frequently published in venues such as arXiv (Cornell University), 2021 IEEE International Conference on Big Data (Big Data), ACM Transactions on Interactive Intelligent Systems, Computers Environment and Urban Systems, and Remote Sensing.

The main topics underlying their research include:

  • Geographic Information Systems Studies
  • Advanced Image and Video Retrieval Techniques
  • Semantic Web and Ontologies
  • Data Management and Algorithms
  • Automated Road and Building Extraction
  • Land Use and Ecosystem Services
  • Impact of Light on Environment and Health

Craig A. Knoblock has received several awards recognizing their contributions, including:

  • IEEE Fellow (2021) for contributions to semantic data integration techniques
  • ACM Fellow (2017) for contributions to artificial intelligence, semantic web, and semantic data integration
  • AAAI Robert S. Engelmore Memorial Lecture Award (2014) for seminal contributions to machine learning and information integration, high-impact deployed applications and open-source projects, and extensive service to AAAI and international AI
  • ACM Distinguished Member (2008)
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2004) for significant contributions to planning and information integration and the application of AI methods to complex domains

Best Publications

  • Retrieving and Integrating Data from Multiple Information Sources

    Yigal Arens;Chin Y. Chee;Chun-Nan Hsu;Craig A. Knoblock

  • A Survey of Digital Map Processing Techniques

    Yao-Yi Chiang;Stefan Leyk;Craig A. Knoblock

  • A hierarchical approach to wrapper induction

    Ion Muslea;Steve Minton;Craig Knoblock

  • Hierarchical Wrapper Induction for Semistructured Information Sources

    Ion Muslea;Steven Minton;Craig A. Knoblock

  • Query reformulation for dynamic information integration

    Yigal Arens;Craig A. Knoblock;Wei-Min Shen

  • Automatically generating abstractions for planning

    Craig A. Knoblock

  • Wrapper generation for semi-structured Internet sources

    Naveen Ashish;Craig A. Knoblock

  • Active + Semi-supervised Learning = Robust Multi-View Learning

    Ion Muslea;Steven Minton;Craig A. Knoblock

  • Explanation-based learning: a problem solving perspective

    S. Minton;J. G. Carbonell;C. A. Knoblock;D. R. Kuokka

  • Learning object identification rules for information integration

    Sheila Tejada;Craig A. Knoblock;Steven Minton

  • Learning domain-independent string transformation weights for high accuracy object identification

    Sheila Tejada;Craig A. Knoblock;Steven Minton

  • Query processing in the SIMS information mediator

    Yigal Arens;Chun-Nan Hsu;Craig A. Knoblock

  • Active learning with multiple views

    Ion Muslea;Steven Minton;Craig A. Knoblock

  • PRODIGY: an integrated architecture for planning and learning

    Jaime Carbonell;Oren Etzioni;Yolanda Gil;Robert Joseph

  • Accurately and reliably extracting data from the Web: a machine learning approach

    Craig A. Knoblock;Kristina Lerman;Steven Minton;Ion Muslea

  • Web Services Business Process Execution Language

    Unknown

  • Web Data Mining

    Unknown

  • From Text to Geographic Coordinates: The Current State of Geocoding

    Daniel W. Goldberg;John P. Wilson;Craig A. Knoblock

  • Explanation-based learning: a problem solving perspective

    Steven Minton;Jaime G. Carbonell;Craig A. Knoblock;Daniel R. Kuokka

  • Semi-automatic wrapper generation for Internet information sources

    N. Ashish;C.A. Knoblock

  • Modeling Web sources for information integration

    Craig A. Knoblock;Steven Minton;José Luis Ambite;Naveen Ashish

  • Performing predictive pricing based on historical data

    Oren Etzioni;Alexander Yates;Craig A. Knoblock;Rattapoom Tuchinda

Frequent Co-Authors

Steven Minton
Steven Minton InferLink Corporation
José Luis Ambite
José Luis Ambite University of Southern California
Pedro Szekely
Pedro Szekely Amazon (United States)
Cyrus Shahabi
Cyrus Shahabi University of Southern California
Kristina Lerman
Kristina Lerman University of Southern California
Chun-Nan Hsu
Chun-Nan Hsu University of California, San Diego
Yolanda Gil
Yolanda Gil University of Southern California
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Oren Etzioni
Oren Etzioni University of Washington
Jaime G. Carbonell
Jaime G. Carbonell Carnegie Mellon University

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