Table of Contents
Effective Web and Desktop Retrieval with Enhanced Semantic Spaces
Considering Patterns in Class Interactions Prediction
Design of an Unattended Monitoring System Using Context-Aware Technologies Based on 3 ScreenRequirements Elicitation Using Paper Prototype
Quality-Driven Architecture Conformance
Trends in M2M Application Services Based on a Smart Phone
An Empirical Study
Mining Design Patterns in Object Oriented Systems by a Model-Driven Approach
Exploring Empirically the Relationship between Lack of Cohesion and Testability in Object-Oriented Systems
The Study of Imperfection in Rough Set on the Field of Engineering and Education
The Software Industry in the Coffee Triangle of Colomiba
Towards Maintainability Prediction for Relational Database-Driven Software Applications: Evidence from Software Practitioners
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Effective Web and Desktop Retrieval with
Enhanced Semantic Spaces
Amjad M. Daoud
American University of the Middle East, Kuwait
Abstract. We describe the design and implementation of the NETBOOK prototype system for collecting, structuring and efficiently creating semantic vectors for concepts, noun phrases, and documents from
a corpus of free full text ebooks available on the World Wide Web. Automatic generation of concept maps from correlated index terms and extracted noun phrases are used to build a powerful conceptual index of individual pages. To ensure scalabilty of our system, dimension reduction is performed using Random Projection. Furthermore, we present a complete evaluation of the relative effectiveness of the NETBOOK system versus the Google Desktop .