Y
Yannis Papakonstantinou
Researcher at University of California, San Diego
Publications - 143
Citations - 12902
Yannis Papakonstantinou is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Query language & Query optimization. The author has an hindex of 48, co-authored 139 publications receiving 12487 citations. Previous affiliations of Yannis Papakonstantinou include University of California & University of California, Berkeley.
Papers
More filters
The TSIMMIS project: Integration of heterogeneous information sources
Sudarshan S. Chawathe,Hector Garcia-Molina,Joachim Hammer,Kelly Ireland,Yannis Papakonstantinou,Jeffrey D. Ullman,Jennifer Widom +6 more
TL;DR: The Tsimmis project as mentioned in this paper is a joint project between Stanford and IBM Almaden Research Center to develop tools that facilitate the rapid integration of heterogeneous information sources that may include both structured and unstructured data.
Journal ArticleDOI
Big data and its technical challenges
H. V. Jagadish,Johannes Gehrke,Alexandros Labrinidis,Yannis Papakonstantinou,Jignesh M. Patel,Raghu Ramakrishnan,Cyrus Shahabi +6 more
TL;DR: The inherent technical challenges in realizing the potential of Big Data are explored, with a focus on machine learning and artificial intelligence.
Proceedings ArticleDOI
Object exchange across heterogeneous information sources
TL;DR: An object-based information exchange model and a corresponding query language are defined that are well suited for integration of diverse information sources and used to integrate heterogeneous bibliographic information sources.
Book ChapterDOI
Discover: keyword search in relational databases
TL;DR: It is proved that DISCOVER finds without redundancy all relevant candidate networks, whose size can be data bound, by exploiting the structure of the schema and the selection of the optimal execution plan (way to reuse common subexpressions) is NP-complete.
Journal ArticleDOI
The TSIMMIS Approach to Mediation: Data Models and Languages
Hector Garcia-Molina,Yannis Papakonstantinou,Dallan Quass,Anand Rajaraman,Yehoshua Sagiv,Jeffrey D. Ullman,Vasilis Vassalos,Jennifer Widom +7 more
TL;DR: TSIMMIS—The Stanford-IBM Manager of Multiple Information sources offers a datamodel and a common query language that are designed to support the combining of information from many different sources.