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Thomas Penin

dblp:16/2311 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2

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
Data integration and cleaning · 33% Data models and query languages · 33% Information retrieval · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval
keyword search
0.112009
Hermes: a travel through semantics on the data web · SIGMOD Conference 2009
Data integration and cleaning
schema mapping
0.112009
Hermes: a travel through semantics on the data web · SIGMOD Conference 2009
Data models and query languages
structured query
0.112009
Hermes: a travel through semantics on the data web · SIGMOD Conference 2009

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

schema matching · 0.1
YearPublicationVenuePosition
2009 Hermes: a travel through semantics on the data web
abstract
The Web as a global information space is developing from a Web of documents to a Web of data. This development opens new ways for addressing complex information needs. Search is no longer limited to matching keywords against documents, but instead complex information needs can be expressed in a structured way, with precise answers as results. In this paper, we demonstrate Hermes, an infrastructure for data web search. To provide an end-user oriented interface, we support expressive keyword search by translating user information needs into structured queries. We integrate heterogeneous web data sources with automatically computed mappings. Schema-level mappings are exploited in constructing structured queries against the integrated schema. These structured queries are decomposed into queries against the local web data sources, which are then processed in a distributed way.
Haofen Wang, Thomas Penin, Kaifeng Xu, Junquan Chen, Xinruo Sun, Linyun Fu, Qiaoling Liu, Yong Yu 0001, Thanh Tran 0001, Peter Haase 0001, Rudi Studer
SIGMOD Conference2
2009 Semplore: A scalable IR approach to search the Web of Data
Haofen Wang, Qiaoling Liu, Thomas Penin, Linyun Fu, Lei Zhang 0007, Thanh Tran 0001, Yong Yu 0001
J. Web Semant.3