Large unstructured or semi-structured datasets require a high level of computational
sophistication because operations that are easy at a small scale—such as moving data …

This book provides extensive insight into the possibilities and challenges of XML in building
new information management solutions in networked organizations. After a brief introduction …

This paper introduces a novel approach for storing Resource Description Framework (RDF)
data based on the possibilities of Natural Language Addressing (NLA) and on a special NLA …

The relatively high cost of record deserialization is increasingly becoming the bottleneck of
column-based storage systems in tree-structured applications [58]. Due to record …

Wireless sensor network research usually focuses on the reliable and efficient collection of
data. In this paper we target on the next step in the lifetime of traces: we aim at investigating …

Multidimensional data are commonly utilized in many application areas like electronic
shopping, cartography and many others. These data structures support various types of …

Multidimensional data structures have become very popular in recent years. Their
importance lies in efficient indexing of data, which have naturally multidimensional …

This thesis investigates two fundamental technological challenges that prevent water utilities
from deploying infrastructure monitoring apparatus with high spatial and temporal resolution …

A short survey on several up-to-date storage and data models is outlined in this paper.
Mainly they are graph as well as Resource Description Framework (RDF) models. During …

There are many applications in which users interactively access large tree data by repeating
set-based navigations, ie, by repeatedly selecting one (or several) node, retrieving a set of …