Demo Data from EDBT 2026 / reviewers in the wild / expert
Michelle Leger
dblp:40/2606
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 1
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.
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 50% Runtime systems and virtual machines · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Runtime systems and virtual machines › interpreter
bytecode interpretation |
0.1 | 1 | 2007 | A high-performance interpretive approach to schema-directed parsing · WWW 2007 |
Compilers and program optimization
parsing |
0.1 | 1 | 2007 | A high-performance interpretive approach to schema-directed parsing · WWW 2007 |
Methods — techniques the papers use, named apart from their topics
schema compiler · 0.1bytecode design · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | A high-performance interpretive approach to schema-directed parsingabstractXML delivers key advantages in interoperability due to its flexibility, expressiveness, and platform-neutrality. As XML has become a performance-critical aspect of the next generation of business computing infrastructure, however, it has become increasingly clear that XML parsing often carries a heavy performance penalty, and that current, widely-used parsing technologies are unable to meet the performance demands of an XML-based computing infrastructure. Several efforts have been made to address this performance gap through the use of grammar-based parser generation. While the performance of generated parsers has been significantly improved, adoption of the technology has been hindered by the complexity of compiling and deploying the generated parsers. Through careful analysis of the operations required for parsing and validation, we have devised a set of specialized byte codes, designed for the task of XML parsing and validation. These byte codes are designed to engender the benefits of fine-grained composition of parsing and validation that make existing compiled parsers fast, while being coarse-grained enough to minimize interpreter overhead. This technique of using an interpretive,validating parser balances the need for performance against the requirements of simple tooling and robust scalable infrastructure. Our approach is demonstrated with a specialized schema compiler, used to generate byte codes which in turn drive an interpretive parser. With almost as little tooling and deployment complexity as a traditional interpretive parser, the byte code-driven parser usually demonstrates performance within 20% of the fastest fully compiled solutions. Morris Matsa, Eric Perkins, Abraham Heifets, Margaret Gaitatzes Kostoulas, Daniel Silva 0001, Noah Mendelsohn, Michelle Leger |
WWW | 7 |