VLDB 2026 Research / reviewers in the wild / expert
George Lapis
dblp:27/3158
· DBLP profile ↗
7ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 7 · 1 first-author
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.
| Databases, data mining, and information retrieval
6 papers |
Query processing and optimization · 42% Database system architecture and tuning · 25% Data integration and cleaning · 17% |
Topics — the 12 heaviest of 13, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization
XML query processing |
0.1 | 1 | 2005 | System RX: One Part Relational, One Part XML · SIGMOD Conference 2005 |
Query processing and optimization › analytical query processing
decision support query processing |
0.0 | 1 | 2000 | Answering Complex SQL Queries Using Automatic Summary Tables · SIGMOD Conference 2000 |
Query processing and optimization
query rewriting |
0.0 | 1 | 2000 | Answering Complex SQL Queries Using Automatic Summary Tables · SIGMOD Conference 2000 |
Data integration and cleaning › interoperability
heterogeneous data access |
0.0 | 1 | 1999 | Heterogeneous Query Processing through SQL Table Functions · ICDE 1999 |
Data integration and cleaning
heterogeneous query processing |
0.0 | 1 | 1999 | Heterogeneous Query Processing through SQL Table Functions · ICDE 1999 |
Data models and query languages › SQL
table function |
0.0 | 1 | 1999 | Heterogeneous Query Processing through SQL Table Functions · ICDE 1999 |
Indexing and storage engines
XML storage and indexing |
0.0 | 1 | 2005 | System RX: One Part Relational, One Part XML · SIGMOD Conference 2005 |
Database system architecture and tuning
extensible database system |
0.0 | 1 | 1990 | Starburst Mid-Flight: As the Dust Clears · IEEE Trans. Knowl. Data Eng. 1990 |
Query processing and optimization
join processing |
0.0 | 1 | 1990 | An Incremental Join Attachment for Starburst · VLDB 1990 |
Database system architecture and tuning
relational database system |
0.0 | 1 | 1990 | Starburst Mid-Flight: As the Dust Clears · IEEE Trans. Knowl. Data Eng. 1990 |
Data models and query languages
query language |
0.0 | 1 | 1991 | Starburst II: The Extender Strikes Back! · SIGMOD Conference 1991 |
Data models and query languages
SQL |
0.0 | 1 | 1991 | Starburst II: The Extender Strikes Back! · SIGMOD Conference 1991 |
Methods — techniques the papers use, named apart from their topics
graph-based query matching · 0.0query optimization · 0.0extensibility · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | System RX: One Part Relational, One Part XMLabstractThis paper describes the overall architecture and design aspects of a hybrid relational and XML database system called System RX. We believe that such a system is fundamental in the evolution of enterprise data management solutions: XML and relational data will co-exist and complement each other in enterprise solutions. Furthermore, a successful XML repository requires much of the same infrastructure that already exists in a relational database management system. Finally, XML query languages have considerable conceptual and functional overlap with relational dataflow engines. System RX is the first truly hybrid system that comingles XML and relational data, giving them equal footing. The new support for XML includes native support for storage and indexing as well as query compilation and evaluation support for the latest industry-standard query languages, SQL/XML and XQuery. By building a hybrid system, we leverage more than 20 years of data management research to advance XML technology to the same standards expected from mature relational systems. Kevin S. Beyer, Roberta Cochrane, Vanja Josifovski, Jim Kleewein, George Lapis, Guy M. Lohman, Robert Lyle, Fatma Özcan 0001, Hamid Pirahesh, Normen Seemann, Tuong C. Truong, Bert Van der Linden, Brian Vickery |
SIGMOD Conference | 5 |
| 2000 | Answering Complex SQL Queries Using Automatic Summary TablesabstractWe investigate the problem of using materialized views to answer SQL queries. We focus on modern decision-support queries, which involve joins, arithmetic operations and other (possibly user-defined) functions, aggregation (often along multiple dimensions), and nested subqueries. Given the complexity of such queries, the vast amounts of data upon which they operate, and the requirement for interactive response times, the use of materialized views (MVs) of similar complexity is often mandatory for acceptable performance. We present a novel algorithm that is able to rewrite a user query so that it will access one or more of the available MVs instead of the base tables. The algorithm extends prior work by addressing the new sources of complexity mentioned above, that is, complex expressions, multidimensional aggregation, and nested subqueries. It does so by relying on a graphical representation of queries and a bottom-up, pair-wise matching of nodes from the query and MV graphs. This approach offers great modularity and extensibility, allowing for the rewriting of a large class of queries. Markos Zaharioudakis, Roberta Cochrane, George Lapis, Hamid Pirahesh, Monica Urata |
SIGMOD Conference | 3 |
| 1999 | Heterogeneous Query Processing through SQL Table FunctionsabstractIn today's IT infrastructures, data is stored in SQL databases, non-SQL, databases, and host databases like ISAM/VSAM files. Non-SQL databases are specialized data stores controlled by applications like spreadsheets, mail, directory and index services. Developing applications accessing a variety of different data sources is challenging for application developers due to different environments, APIs, bindings, etc. 20 years ago, SQL was created to ease the life of database application developers and provide a uniform way for accessing data which is stored in SQL databases. The paper describes an implementation of table functions and its usage for accessing data stored outside SQL databases in diverse external data stores. Table functions are compliant with the relational data model, and therefore fit into the well established SQL language. The table-function architecture is open, and allows the deployment of generic data access infrastructures such as Microsoft's OLE DB or Java's JDBC (G. Hamilton et al., 1997). The paper describes a prototype implementation of OLE DB table functions with advanced query optimization techniques. The prototype is based on IBM DB2 UDB relational database system. Berthold Reinwald, Hamid Pirahesh, Ganapathy Krishnamoorthy, George Lapis, Brian T. Tran, Swati Vora |
ICDE | 4 |
| 1991 | Starburst II: The Extender Strikes Back!abstractNo abstract available. Guy M. Lohman, George Lapis, Tobin J. Lehman, Rakesh Agrawal 0001, Roberta Cochrane, John McPherson, C. Mohan 0001, Hamid Pirahesh, Jennifer Widom |
SIGMOD Conference | 2 |
| 1990 | A Starburst is Born
George Lapis, Guy M. Lohman, Hamid Pirahesh |
SIGMOD Conference | 1 |
| 1990 | An Incremental Join Attachment for Starburst
Michael J. Carey 0001, Eugene J. Shekita, George Lapis, Bruce G. Lindsay 0001, John McPherson |
VLDB | 3 |
| 1990 | Starburst Mid-Flight: As the Dust ClearsabstractThe purpose of the Starburst project is to improve the design of relational database management systems and enhance their performance, while building an extensible system to better support nontraditional applications and to serve as a testbed for future improvements in database technology. The design and implementation of the Starburst system to date are considered. Some key design decisions and how they affect the goal of improved structure and performance are examined. How well the goal of extensibility has been met is examined: what aspects of the system are extensible, how extensions can be done, and how easy it is to add extensions. Some actual extensions to the system, including the experiences of the first real customizers, are discussed.> Laura M. Haas, Walter Chang, Guy M. Lohman, John McPherson, Paul F. Wilms, George Lapis, Bruce G. Lindsay 0001, Hamid Pirahesh, Michael J. Carey 0001, Eugene J. Shekita |
IEEE Trans. Knowl. Data Eng. | 6 |