IJIMAI 2009 - Special Issue on Business Intelligence and Semantic Web

Year: 2009, Vol: 1, Number: 2         application/pdf icon

The key concept of "business intelligence" surround a set of techniques, procedures and tools focused to achieve competitive advantages in enterprises. Latest business intelligence technologies put forward new theories that prove the use of BI on  core value-adding processes can directly improve business performance and value creation. These theories cover the design and implementation of infrastructure, processes, and best practices for warehousing, integrating, reporting, and analyzing business information. Following these theories, the  leading  research  companies in business intelligenceoffers a broad portfolio of tools and applications designed to help  companies to  optimize business performance by connecting people, information, and businesses across complex business networks.

Currently research  studies discover new scenarios of successful BI integrations using semantic web technologies in order to help to deploy business intelligence applications that allowed companies to manage revenue delivery and reduce costs.  With the advance of the Semantic Web and its related technologies, many novel solutions are proposed to turn raw data into usable knowledge and allow the information to be shared and reused across application, enterprise, and community boundaries. This trend make traditional information systems facing new challenges to be intelligent by building and consuming the explicit semantics of the heterogeneous source data. The underpinning standards and programming environments are already in place to be used by scientists and engineers in constructing the next generation intelligent systems. Research and development, ranging from strategies, technologies, frameworks to tools, are required to make the behaviour of information discovery, classification, and interpretation with semantic intelligence.

Following  the new  wave of these theories, we have decided create this special issue that is focused mainly in three areas: business intelligence, semantic web mining and BI interactive interfaces. Most relevant research studies and IT business cases received has been selected and published.

We hope receive more contributions from IA and multimedia researchers, in order to open and extend future next issues of the journal.

Finally, we would like to thank all unselfish contributions made by the members of editor's council

Electronic File Download:
  Table of contents.

IJIMAI 2008 - Experimental Simulations

Year: 2008, Vol: 1, Number: 1         application/pdf icon

This publication contains all research activities performed by students during 2007/2008 academical year. The editor's council has been reviewing and selecting several outstanding research contributions related with the following knowledge areas:

  • Medical diagnosis: currently interactive multimedia and artificial intelligence techniques suggest the possibility to offer new approaches focused to discoverand obtain high precision diagnosis, merging technical and medical knowledge. The experimental research works show the high-potential provided by software prototypes based on visual perception, fuzzy logic and bayesian theories.
  • Semantic metadata: semantic web theories and formal languages has been growing during last years due to effort made by a high number of researchers. Besides, it is important to point out an special area “Semantic Metadata” with the main aim of provides several benefits on metadata management. Geographical Information Systems, Documental management systems among others can be better off by the use of ontologies (instead of natural language) as structural metadata formal knowledge. This section includes the most important contributions.
  • Nature conservancy: we can help protect the world's most beautiful and diverse places developing technology that preserve threatened habitats around the world. Artificial intelligence, robotics and real-time monitors are essential tools used into our laboratory to build prototypes which seek how we can design and deploy real projects on demarcated environments.
  • Intelligence perception: this section includes two big areas, intelligence indoor positioning systems and intelligence visual identify systems. Learning algorithms has been used to create adaptive positioning and identify systems.

This journal has been created with the aim of publish, share and bring together our experiences and work performed during one academical year. However we hope receive more contributions from IA and multimedia researchers, in order to open and extend future next issues ofthe journal.

Electronic File Download:
  Table of contents.