Paper Info
Title
Acquiring Stored Or Real Time Satellite Data Via Natural Language Query
Abstract
With the advent of Sensor Web, the satellite data acquired by sensor systems could be shared among users immediately. Our research has led to an implementation of natural language queries such that users without particular knowledge of satellite imagery can describe easily for what they need. We use a rules-based method to retrieve named entities, with the help of a knowledge base and uses existing Sensor Web services for acquiring stored or real time satellite data. We use rule-based methods to align time, location and domain task entities in natural language queries with Sensor Web services with standard times, geographical coordinates, and satellite attributes. To evaluate our system, we wrote a series of natural language queries in the domains of surveying and mapping, forestry, agriculture, and disaster response. Our queries and satellite data retrieved by the queries were corrected by a group of experts to create a gold standard. Using their remarks as correct, we scored our system results using precision and recall metrics standard for information retrieval. The results of our experiment demonstrate that the proposed method is promising for assisting in Earth observation applications.
Year
DOI
Venue
2014
10.1007/978-3-319-11116-2_19
WEB TECHNOLOGIES AND APPLICATIONS, APWEB 2014
Keywords
Field
DocType
Observation Task, Satellite Data, Sensor Web, Ontology
Ontology,Data mining,Satellite imagery,Computer science,Precision and recall,Natural language user interface,Natural language,Earth observation,Knowledge base,Sensor web,Database
Conference
Volume
ISSN
Citations 
8709
0302-9743
0
PageRank 
References 
Authors
0.34
11
4
Name
Order
Citations
PageRank
Xu Chen184.21
Jin Liu2212.58
Xinyan Zhu34414.27
Ming Li45595829.00