Seismological Data Warehousing and Mining: A Survey

Seismological Data Warehousing and Mining: A Survey

Gerasimos Marketos (University of Piraeus, Greece), Yannis Theodoridis (University of Piraeus, Greece) and Ioannis S. Kalogeras (National Observatory of Athens, Greece)
Copyright: © 2009 |Pages: 8
DOI: 10.4018/978-1-60566-098-1.ch019

Abstract

Earthquake data composes an ever increasing collection of earth science information for postprocessing analysis. Earth scientists, local or national administration officers and so forth, are working with these data collections for scientific or planning purposes. In this article, we discuss the architecture of a so-called seismic data management and mining system (SDMMS) for quick and easy data collection, processing, and visualization. The SDMMS architecture includes, among others, a seismological database for efficient and effective querying and a seismological data warehouse for OLAP analysis and data mining. We provide template schemes for these two components as well as examples of their functionality towards the support of decision making. We also provide a comparative survey of existing operational or prototype SDMMS.
Chapter Preview
Top

Legally Sensitive Web-Powered Databases

Even though legally sensitive portals, in other words, Web portals containing legally sensitive data, have been included in the Web portal family no sooner than the late 1990s (Wikipedia.org, 2006), the specific addition signaled the beginning of a new era in the Web portal scientific field. More specifically, portals took a converse approach with respect not only to the nature of services that they offered but also to the target group to which these services were offered. The end user from the perception of the Web portal was no longer exclusively the anonymous user, but could also be a very specific individual whose personalization data were frequently hosted inside the portal itself.

Complete Chapter List

Search this Book:
Reset