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Salim Semy

dblp:53/1967 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Knowledge graphs › ontology
ontology construction
0.112007
Web mashup scripting language · WWW 2007
Data integration and cleaning
web service integration
0.012007
Web mashup scripting language · WWW 2007

Methods — techniques the papers use, named apart from their topics

ontology learning · 0.1end-user programming · 0.1
YearPublicationVenuePosition
2007 Web mashup scripting language
abstract
The 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
WWW3