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 in order to make better decisions. Traditionally, BI applications allowed 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. Yet, in the very recent years, a new trend emerged: BI applications no longer limit their analysis to the data inside one company. Increasingly, they also source their data from the outside, i.e., from the Web, and complement company-internal data with value-adding information from the Web (e.g., retail prices of products sold by competitors), in order to provide richer insights into the dynamics of today's business. In parallel to the move of data from the Web into BI applications, we are now assisting to the 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.
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I am complex: cluster me, don't just rank me
A large number of online applications are built over high dimensional data. That is the case for shopping where products have several features (e.g., price and color), dating where personal profiles are described using several dimensions (e.g., physical ...
Dr. Crowdsource: or how i learned to stop worrying and love web data
The wealth of freely available, structured information on the Web is constantly growing. Driving domains are public data from and about governments and administrations, scientific data, and data about media, such as articles, books and albums. In ...
Solomon: seeking the truth via copying detection
We live in the Information Era: the Web has enabled the availability of a huge amount of useful information and eased sharing of data among sources. Despite the richness of information surrounding us, an information user is often overwhelmed by the huge ...
Self-supervised web search for any-k complete tuples
A common task of Web users is querying structured information from Web pages. In this paper we propose a novel query processor for systematically discovering any-k relations from Web search results with conjunctive queries. The 'any-k' phrase denotes ...
Toward total business intelligence incorporating structured and unstructured data
As the amount of data grows very fast inside and outside of an enterprise, it is getting important to seamlessly analyze both of them for getting total business intelligence. The data can be classified into two categories: structured and unstructured. ...
Integrating web feed opinions into a corporate data warehouse
Web opinion feeds have become one of the most popular information sources users consult before buying products or contracting services. Negative opinions about some product can have a high impact in its sales figures. As a consequence, companies are ...
Capturing data quality requirements for web applications by means of DQ_WebRE
The number and complexity of Web applications which are part of Business Intelligence (BI) applications had grown exponentially in recent years. The amount of data used in these applications has consequently also grown. Managing data with an acceptable ...
Model-driven restricted-domain adaptation of question answering systems for business intelligence
Business Intelligence (BI) applications no longer limit their analysis to structured databases, but they also need to obtain actionable information from unstructured sources (e.g. data from the Web, etc.). Interestingly, Question Answering (QA) systems ...
Towards TomTom like systems for the web: a novel architecture for browser-based mashups
Business Intelligence (BI) for the new economy requires people to take active part and do by themselves BI development tasks from within their browsers. With the great progress of Web 2.0 into the mainstream the perspective of the BI development has ...
- Proceedings of the 2nd International Workshop on Business intelligencE and the WEB
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