EDBT 2026 Demo / reviewers in the wild / expert
Ana-Elisa Schmid
dblp:59/1279
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 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 |
Spatial and temporal data management · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Spatial and temporal data management
spatial indexing |
0.1 | 1 | 2008 | Spatial indexing in microsoft SQL server 2008 · SIGMOD Conference 2008 |
Spatial and temporal data management › spatial query processing
spatial query optimization |
0.1 | 1 | 2008 | Spatial indexing in microsoft SQL server 2008 · SIGMOD Conference 2008 |
Spatial and temporal data management › spatial data model
spatial data types |
0.0 | 1 | 2008 | Spatial indexing in microsoft SQL server 2008 · SIGMOD Conference 2008 |
Methods — techniques the papers use, named apart from their topics
cost-based query optimization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Spatial indexing in microsoft SQL server 2008abstractMicrosoft SQL Server 2008 adds built-in support for 2-dimensional spatial data types for both planar and geodetic geometries to address the increasing demands for managing location-aware data. SQL Server 2008 also adds indexing capabilities that, together with the necessary plan selections done by the query optimizer, provide efficient processing of spatial queries. This paper will present an overview of the spatial indexing implementation in SQL Server 2008 and outline how the indexing is implemented and how the cost-based query optimizer chooses among the different plans. Marc T. Friedman, Giri Nair, Michael Rys, Ana-Elisa Schmid |
SIGMOD Conference | 5 |