Demo Data from EDBT 2026 / reviewers in the wild / expert
Thomas Penin
dblp:16/2311
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval
keyword search |
0.1 | 1 | 2009 | Hermes: a travel through semantics on the data web · SIGMOD Conference 2009 |
Data integration and cleaning
schema mapping |
0.1 | 1 | 2009 | Hermes: a travel through semantics on the data web · SIGMOD Conference 2009 |
Data models and query languages
structured query |
0.1 | 1 | 2009 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Hermes: a travel through semantics on the data webabstractThe 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 Conference | 2 |
| 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 |