World's Best Scientists 2026 revealed!

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Computer Science

D-Index
67
Citations
15047
World Ranking
2226
National Ranking
1111

Research.com Recognitions

  • 2019 - ACM Fellow For contributions to the theory and practice of data and knowledge-base systems

Overview

Carlo Zaniolo is affiliated with the University of California, Los Angeles in the United States. Their research contributions span primarily the field of Computer Science, with a concentration in several subfields including Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Science and Operations Research, and Computer Vision and Pattern Recognition.

The topics of Zaniolo's work cover a range of themes, notably Cloud Computing and Resource Management, Advanced Database Systems and Queries, Semantic Web and Ontologies, Data Quality and Management, Web Data Mining and Analysis, Topic Modeling, and Graph Theory and Algorithms.

Among recent publications authored or coauthored by Carlo Zaniolo are:

  • Boosting approximate dictionary-based entity extraction with synonyms, 2020, Information Sciences
  • Optimizing Parallel Recursive Datalog Evaluation on Multicore Machines, 2022, Proceedings of the 2022 International Conference on Management of Data
  • Formal semantics and high performance in declarative machine learning using Datalog, 2021, The VLDB Journal
  • Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Highly Efficient String Similarity Search and Join over Compressed Indexes, 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Zaniolo's frequent coauthors include Mingda Li, Jin Wang, Youfu Li, and Chunbin Lin. The collaboration network indicates ongoing research partnerships with these colleagues.

Publications by Carlo Zaniolo have appeared in multiple venues, including:

  • arXiv (Cornell University)
  • Information Sciences
  • Proceedings of the 2022 International Conference on Management of Data
  • The VLDB Journal
  • bioRxiv (Cold Spring Harbor Laboratory)

In recognition of contributions to data and knowledge-base systems, Carlo Zaniolo was named an ACM Fellow in 2019, highlighting the impact within the community related to both theoretical and practical aspects of these systems.

Best Publications

  • Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment

    Muhao Chen;Yingtao Tian;Mohan Yang;Carlo Zaniolo

  • Efficient structural joins on indexed XML documents

    Shu-Yao Chien;Zografoula Vagena;Donghui Zhang;Vassilis J. Tsotras

  • Advanced Database Systems

    Carlo Zaniolo;Stefano Ceri;Christos Faloutsos;Richard Thomas Snodgrass

  • Database relations with null values

    Carlo Zaniolo

  • Optimization of Nonrecursive Queries

    Ravi Krishnamurthy;Haran Boral;Carlo Zaniolo

  • Multifaceted protein-protein interaction prediction based on Siamese residual RCNN.

    Muhao Chen;Chelsea J T Ju;Guangyu Zhou;Xuelu Chen

  • Web Services Business Process Execution Language

    Unknown

  • The database language GEM

    Carlo Zaniolo

  • Stable models and non-determinism in logic programs with negation

    Domenico Sacca;Carlo Zaniolo

  • The LDL system prototype

    D. Chimenti;R. Gamboa;R. Krishnamurthy;S. Naqvi

  • Graceful database schema evolution: the PRISM workbench

    Carlo A. Curino;Hyun J. Moon;Carlo Zaniolo

  • Optimal sampling from sliding windows

    Vladimir Braverman;Rafail Ostrovsky;Carlo Zaniolo

  • Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment

    Muhao Chen;Yingtao Tian;Kai-Wei Chang;Steven Skiena

  • Query languages and data models for database sequences and data streams

    Yan-Nei Law;Haixun Wang;Carlo Zaniolo

  • LDL: A Logic-Based Data Language

    Shalom Tsur;Carlo Zaniolo

  • A data stream language and system designed for power and extensibility

    Yijian Bai;Hetal Thakkar;Haixun Wang;Chang Luo

  • Analysis and design of relational schemata for database systems.

    Carlo Antonio Zaniolo

  • Fast and Light Boosting for Adaptive Mining of Data Streams

    Fang Chu;Carlo Zaniolo

  • Efficient Management of Multiversion Documents by Object Referencing

    Shu-Yao Chien;Vassilis J. Tsotras;Carlo Zaniolo

  • Big Data Analytics with Datalog Queries on Spark

    Alexander Shkapsky;Mohan Yang;Matteo Interlandi;Hsuan Chiu

  • Early accurate results for advanced analytics on MapReduce

    Nikolay Laptev;Kai Zeng;Carlo Zaniolo

Frequent Co-Authors

Domenico Saccà
Domenico Saccà University of Calabria
Fusheng Wang
Fusheng Wang Stony Brook University
Haixun Wang
Haixun Wang Instacart
Vassilis J. Tsotras
Vassilis J. Tsotras University of California, Riverside
Carlo Curino
Carlo Curino Microsoft (United States)
Dino Pedreschi
Dino Pedreschi University of Pisa
Kai-Wei Chang
Kai-Wei Chang University of California, Los Angeles
V. S. Subrahmanian
V. S. Subrahmanian Dartmouth College
Steven Skiena
Steven Skiena Stony Brook University
Matthias Jarke
Matthias Jarke RWTH Aachen University

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