Business Intelligence and the Web. Guest editors' introduction

The special issue of Information Systems Frontiers on Business Intelligence and the Web discusses the increasing use of Business Intelligence (BI) solutions that allow enterprise to query, understand, and analyze business data to make better decisions. The special issue targets the issues of Web data feeding BI and engineering Web-enabled BI in the discussion. It states that the amount and complexity of data available on the Web has been growing rapidly over a period of time. Designers of BI applications making use of data from the Web have to deal with several challenges due to these developments. The importance of Web opinion feeds as information sources for companies is highlighted in an article entitled 'Storing and Analyzing Voice of the Market Data in the Corporate Data Warehouse'. The authors propose a technique to integrate opinion data in BI models. Specifically, they present a multidimensional data model that integrates sentiment data extracted from customer opinion forums into the corporate data warehouse

Incatomi: integrative causal topic miner between textual and non-textual time series data

ABSTRACT Topic modeling is popular for text mining tasks. Recently, topic modeling has been combined with time lines when textual data is related to external non-textual time series data such as stock prices. However, no previous work has used the external non-textual time series data in the process of topic modeling. In this paper, we describe a novel text mining system, Integrative Causal Topic Miner (InCaToMi) that integrates textual and non-textual time series data. InCaToMi automatically finds causal relationships and topics using text data and external non-textual time series data using Granger Testing. Moreover, InCaToMi considers the non-textual time series data in the topic modeling process, using the time series data to iteratively improve modeling results through interactions between it and the textual data at both topic and word levels

A Methodology for semantically enriching interoperable databases

Integrated access to a Federated Database System, requires a deep knowledge about the semantics of its component databases so that interdatabase semantic relationships can be detected. Unfortunately, very often there is a lack of such a knowledge and the local schemas do not help to acquire this knowledge. The solution is to upgrade the semantic level of the local schemas through a semantic enrichment process where implicit knowledge is discovered and made explicit. Here we outline a methodology for semantic enrichment consisting of two phases. In the knowledge acquisition phase, restrictions in the form of different types of identifiers and dependencies of several kinds are discovered by analyzing the intension and the extension of the database. Then, in the conversion phase, the schemas augmented with this knowledge are converted to rich schemas expressed in a canonical object oriented modelPostprint (published version

A Methodology for semantically enriching interoperable databases

Integrated access to a Federated Database System, requires a deep knowledge about the semantics of its component databases so that interdatabase semantic relationships can be detected. Unfortunately, very often there is a lack of such a knowledge and the local schemas do not help to acquire this knowledge. The solution is to upgrade the semantic level of the local schemas through a semantic enrichment process where implicit knowledge is discovered and made explicit. Here we outline a methodology for semantic enrichment consisting of two phases. In the knowledge acquisition phase, restrictions in the form of different types of identifiers and dependencies of several kinds are discovered by analyzing the intension and the extension of the database. Then, in the conversion phase, the schemas augmented with this knowledge are converted to rich schemas expressed in a canonical object oriented mode

Report of the International Workshop on Business Intelligence and the Web – BEWEB 2011

The 2nd International Workshop on Business intelligence and the WEB (BEWEB) was co-located with the EDBT/ICDT 2011 Joint Conference in Uppsala (Sweden) on March 25, 2011. BEWEB intends to be an international forum for researchers and practitioners to exchange ideas on how to leverage the huge amount of data that is available on the Web in BI applications and on how to apply Web engineering methods and techniques to the design of BI applications. This report summarizes the 2011 edition of BEWEB