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Call for Papers<br>
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- Information Systems Frontiers
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- Special issue on Business Intelligence and the Web -<br>
- JCR impact factor: 1.309
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- Deadline for submission of papers: June 30th, 2011 -<br>
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<br>
<br>
Rationale and aim<br>
-----------------<br>
Over the last decade we have been witnessing an increasing use of
Business Intelligence (BI) solutions, which allow business people
to query, understand, and analyze their business data to make
better decisions. Traditionally, BI applications allow business
people to acquire useful knowledge from the data of their
organization by means of a variety of technologies, such as data
warehousing, data mining, business performance management, OLAP,
periodical business reports, and the like.<br>
Yet, in the very recent years, a new trend emerged: BI
applications no longer limit their analysis to the data inside a
company. Increasingly, they also source their data from the
outside, specifically, from the Web, and complement
company-internal data with value-adding information from the Web
(e.g., retail prices of products sold by competitors), with the
purpose of providing richer insights into the dynamics of today’s
business.<br>
In parallel to the move of data from the Web into BI applications,
we are also witnessing a move of BI applications from
company-internal information systems to the Web: BI as a service
(e.g., hosted BI platforms for small- and medium-size companies)
is the target of huge investments and the focus of large research
efforts by industry. The idea is that of outsourcing the
processing and analysis of large bodies of data and consuming BI
from the cloud: the so-called Cloud Intelligence.<br>
We associate the above dynamics in the BI landscape with the
following research challenges:<br>
1. Data from the Web is feeding BI applications<br>
In the last decade, the amount and complexity of data available on
the Web has been growing rapidly. As a consequence, designers of
BI applications making use of data from the Web have to deal with
several issues. Among the most interesting challenges we find, for
instance, the extraction and integration of heterogeneous data
sources. But there are many other interesting research challenges
that arise when the Web is seen as a data repository: how to
develop Web warehousing solutions, how to handle data quality
issues, how to leverage semantic Web technologies, how to employ
Web mining, how to do BI with unstructured data (e.g., text) or
semi-structured data (e.g., XML), and so on. Also, a recently
emerged research challenge is Web Intelligence, which explores the
use of Artificial Intelligence in combination with Web
technologies, including novel statistical methodologies. Other
interesting topics arise when Web usage data (e.g., logs, data
streams, click streams, etc.) are!<br>
analyzed and used in BI applications, since these data can give
support to the development of Web applications, for example to
achieve advanced levels of adaptivity in websites.<br>
2. BI applications are moving to the Web<br>
The move of BI applications from company-internal information
systems to applications that are accessible over the Web implies
the need for web-specific design competencies. In this context, we
strongly believe that (existing and future) Web engineering
methodologies and technologies represent a large body of knowledge
and expertise that could be very useful in the design of
applications that allow decision makers to access BI data and
functionalities over the Web. Good Web engineering is also the
foundation of the design of real-time BI and business performance
management applications, as through the Web applications access to
data is provided from anywhere, at anytime, and via any media.
Furthermore, BI on the Web also implies a plethora of new research
challenges that are specific to the BI context, e.g., using Web
mashups and RIA for BI development, usability and accessibility
for BI applications, security issues in BI, and so on. Finally,
another research challenge is r!<br>
elated to extracting knowledge from diverse Web sources in order
to support, validate or analyze business models.<br>
<br>
<br>
Topics of interest<br>
------------------<br>
The scope of this special issue includes but is not limited to:<br>
- Web warehousing<br>
- Extraction, transformation, and load of Web data<br>
- Web integration<br>
- Web data quality<br>
- Semantic Web technologies<br>
- Web Mining<br>
- Web Intelligence<br>
- Novel statistical methodologies for BI<br>
- The role of Web 2.0/3.0 in BI<br>
- Social networks and BI<br>
- BI with unstructured data (e.g., text) and semi-structured data
(e.g., XML)<br>
- BI for designing adaptive websites<br>
- Web engineering techniques for BI applications (Web mashups,
RIA, etc.)<br>
- Real time BI<br>
- Business performance management<br>
- Usability and accessibility for BI applications<br>
- Security issues in BI<br>
- BI as a service<br>
- Cloud Intelligence: cloud computing & BI.<br>
- Revenue and risk management in Web-enabled BI applications.<br>
<br>
Special issue guest editors<br>
---------------------------<br>
Jose-Norberto Mazón (primary contact person)<br>
Dept. of Software and Computing Systems<br>
University of Alicante, Spain<br>
Email: <a href="mailto:jnmazon@dlsi.ua.es">jnmazon@dlsi.ua.es</a><br>
<br>
Irene Garrigós<br>
Dept. of Software and Computing Systems<br>
University of Alicante, Spain<br>
Email: <a href="mailto:igarrigos@dlsi.ua.es">igarrigos@dlsi.ua.es</a><br>
<br>
Florian Daniel<br>
Information Engineering and Computer Science Department<br>
University of Trento, Italy<br>
Email: <a href="mailto:daniel@disi.unitn.it">daniel@disi.unitn.it</a><br>
<br>
Malu Castellanos<br>
Intelligent Enterprise Technologies Lab<br>
HP Laboratories, Palo Alto<br>
Email: <a href="mailto:malu.castellanos@hp.com">malu.castellanos@hp.com</a><br>
<br>
Important dates<br>
---------------<br>
Deadline for submission of papers: June 30th, 2011<br>
Authors to receive a 1st decision by: September 30th, 2011<br>
Final notification of acceptance: November 30th, 2011<br>
Publication: subject to ISF schedule<br>
<br>
Submission instructions<br>
-----------------------<br>
Manuscripts must be submitted in PDF format by email to
Jose-Norberto Mazón: <a href="mailto:jnmazon@dlsi.ua.es">jnmazon@dlsi.ua.es</a><br>
<br>
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<pre class="moz-signature" cols="72">--
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Jose-Norberto Mazón
Lucentia Research Group
<a class="moz-txt-link-freetext" href="http://www.lucentia.es">http://www.lucentia.es</a>
University Institute for Computing Research (IUII)
<a class="moz-txt-link-freetext" href="http://www.iuii.ua.es">http://www.iuii.ua.es</a>
Dept. Software and Computing Systems
<a class="moz-txt-link-freetext" href="http://www.dlsi.ua.es">http://www.dlsi.ua.es</a>
UNIVERSITY OF ALICANTE
PO BOX 99. E-03080
ALICANTE, Spain.
Phone : +34-965903400 ext:2384
Fax : +34-965909326
E-mail: <a class="moz-txt-link-abbreviated" href="mailto:jnmazon@dlsi.ua.es">jnmazon@dlsi.ua.es</a>
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