Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing

Models for intensive longitudinal data

The book Models for intensive longitudinal data is an edited volume consisting of eleven chapters by 23 authors. These chapters are separate contributions without links to the other chapters. To escape the impression that this is a fragmented book, the editors Theodore A. Walls and Joseph L. Schafer start with a twelve-page Introduction. This Introduction gives an extensive overview of the chap...

Planning and Analysis of Knowledge Intensive Enterprise Resource Planning Systems

Skills and Knowledge for Data-Intensive Environmental Research

The scale and magnitude of complex and pressing environmental issues lend urgency to the need for integrative and reproducible analysis and synthesis, facilitated by data-intensive research approaches. However, the recent pace of technological change has been such that appropriate skills to accomplish data-intensive research are lacking among environmental scientists, who more than ever need gr...

Virtual Resource Management for Data Intensive Applications in Cloud Infrastructures

Cloud computing describes the model of a scalable resource provisioning technology that redirects the possibility of hardware and software leasing to the Internet, through the use of an equitable pay-per-use strategy. In this paper we present a new provisioning mechanism in Clouds used for large-scale data-intensive computing. Our project addresses the key requirements in managing resources at ...

Dynamically Negotiated Resource Management for Data Intensive Application Suites

In contemporary computers, and networks of computers, various application domains are making increasing demands on the system to move data from one place to another, particularly under some form of soft real-time constraint. A brute force technique for implementing applications in this type of domain demands excessive system resources, even though the actual requirements by different parts of t...