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Ana-Elisa Schmid

dblp:59/1279 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Spatial and temporal data management
spatial indexing
0.112008
Spatial indexing in microsoft SQL server 2008 · SIGMOD Conference 2008
Spatial and temporal data management › spatial query processing
spatial query optimization
0.112008
Spatial indexing in microsoft SQL server 2008 · SIGMOD Conference 2008
Spatial and temporal data management › spatial data model
spatial data types
0.012008
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
YearPublicationVenuePosition
2008 Spatial indexing in microsoft SQL server 2008
abstract
Microsoft 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 Conference5