SksOpen: Efficient Indexing, Querying, and Visualization of Geo-spatial Big Data

Author

Yun Lu ; Mingjin Zhang ; Witherspoon, Shonda ; Yesha, Yelena ; Yesha, Yelena ; Rishe, Naphtali

Author_Institution

Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA

Volume

2

fYear

2013

fDate

4-7 Dec. 2013

Firstpage

495

Lastpage

500

Abstract

With the fast growing use of web-based map services, the performance of indexing and querying of location-based data is becoming a critical quality of service aspect. Spatial indexing is typically time-consuming and is not available to end-users. To address this challenge, we have developed and open-sourced an Online Indexing and Querying System for Big Geospatial Data, sksOpen. Integrated with the TerraFly Geospatial database [1], TerraFly sksOpen is an efficient indexing and query engine for processing Top-k Spatial Boolean Queries. Further, we provide ergonomic visualization of query results on interactive maps to facilitate the user´s data analysis.

Keywords

Internet; data visualisation; database indexing; geographic information systems; query processing; visual databases; TerraFly Geospatial database; TerraFly sksOpen; Web-based map services; critical quality of service; geospatial big data indexing; geospatial big data querying; geospatial big data visualization; location-based data; top-k spatial Boolean queries; Algorithm design and analysis; Data visualization; Geospatial analysis; Indexing; Loading; Spatial databases; data visualization; spatial databases; spatial index;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Applications (ICMLA), 2013 12th International Conference on

Conference_Location

Miami, FL

Type

conf

DOI

10.1109/ICMLA.2013.196

Filename

6786159