Demo Data from EDBT 2026 / reviewers in the wild / expert
Jeffrey L. Higginson
dblp:65/6609 · also Jeff Higginson
· 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.
| Databases, data mining, and information retrieval
1 paper |
Knowledge graphs · 77% Data integration and cleaning · 23% | |
| Software engineering, system software, and programming languages
1 paper |
Programming languages and type systems · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge graphs › ontology
ontology construction |
0.1 | 1 | 2007 | Web mashup scripting language · WWW 2007 |
Data integration and cleaning
web service integration |
0.0 | 1 | 2007 | Web mashup scripting language · WWW 2007 |
Methods — techniques the papers use, named apart from their topics
ontology learning · 0.1end-user programming · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Web mashup scripting languageabstractThe Web Mashup Scripting Language (WMSL) enables an end-user (you) working from his browser, e.g. not needing any other infrastructure, to quickly write mashups that integrate any two, or more, web services on the Web. The end-user accomplishes this by writing a web page that combines HTML, metadata in the form of mapping relations, and small piece of code, or script. The mapping relations enable not only the discovery and retrieval of the WMSL pages, but also affect a new programming paradigm that abstracts many programming complexities from the script writer. Furthermore, the WMSL Web pages or scripts that disparate end-users (you) write, can be harvested by Crawlers to automatically generate the concepts needed to build lightweight ontologies containing local semantics of a web service and its data model, to extend context ontologies or middle ontologies, and to develop links, or mappings, between these ontologies. This enables an open-source model of building ontologies based on the WMSL Web page or scripts that end users (you) write. Marwan Sabbouh, Jeffrey L. Higginson, Salim Semy, Danny Gagne |
WWW | 2 |