Ample evidence exists to support the conclusion that enterprise search is failing its users. This failure is costing corporate America billions of dollars every year. Most enterprise search engines are built using web search engines as their foundations. These search engines are optimized for web use and are inadequate when used inside the…

The tremendously huge volume of biomedical literature, scientists' specific information needs, long terms of multiples words, and fundamental problems of synonym and polysemy have been challenging issues facing the biomedical information retrieval community researchers. Search engines have significantly improved the efficiency and effectiveness of…

In this article we explain a semantic analysis model derived from neural networks and pattern classification experiences, based on keyword sets. This model can be used for searching, analyzing, and composing documents in e-learning systems and for permitting inter-platform collaboration and data exchange. In particular, we explain some searching…

Singapore has many large and educationally valuable digital collections and is planning the development of many more. These digital collections contain historical, cultural and scientific multimedia objects, along with learning objects. At present, school teachers and pupils find it hard to locate many of these resources using traditional search…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…