Reconstructing Sessions from Data Discovery and Access Logs to Build a Semantic Knowledge Base for Improving Data Discovery

Reconstructing Sessions from Data Discovery and Access Logs to Build a Semantic Knowledge Base for Improving Data Discovery

Big geospatial data are archived and made available through online web discovery and access. However, finding the right data for scientific research and application development is still a challenge. This paper aims to improve the data discovery by mining the user knowledge from log files. Specifical...

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Bibliographic Details
Main Authors: Yongyao Jiang, Yun Li, Chaowei Yang, Edward M. Armstrong, Thomas Huang, David Moroni
Format: Article
Language:English
Published: MDPI AG 2016-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
web usage mining
session identification and reconstruction
crawler detection
semantic search
data discovery
Online Access:http://www.mdpi.com/2220-9964/5/5/54

Internet

http://www.mdpi.com/2220-9964/5/5/54

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