Business Intelligence Applications and the Web: Models, Systems and Technologies
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Business Intelligence Applications and the Web: Models, Systems and Technologies

Marta E. Zorrilla (University of Cantabria, Spain), Jose-Norberto Mazón (University of Alicante, Spain), Óscar Ferrández (University of Alicante, Spain), Irene Garrigós (University of Alicante, Spain), Florian Daniel (University of Trento, Italy) and Juan Trujillo (University of Alicante, Spain)
Release Date: September, 2011|Copyright: © 2012 |Pages: 374
DOI: 10.4018/978-1-61350-038-5
ISBN13: 9781613500385|ISBN10: 1613500386|EISBN13: 9781613500392
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Description & Coverage
Description:

Over the last decade, we have witnessed an increasing use of Business Intelligence (BI) solutions that allow business people to query, understand, and analyze their business data in order to make better decisions. Traditionally, BI applications allow management and decision-makers to acquire useful knowledge about the performance and problems of business from the data of their organization by means of a variety of technologies, such as data warehousing, data mining, business performance management, OLAP, and periodical business reports. Research in these areas has produced consolidated solutions, techniques, and methodologies, and there are a variety of commercial products available that are based on these results.

Business Intelligence Applications and the Web: Models, Systems and Technologies summarizes current research advances in BI and the Web, emphasizing research solutions, techniques, and methodologies which combine both areas in the interest of building better BI solutions. This comprehensive collection aims to emphasize the interconnections that exist among the two research areas and to highlight the benefits of combined use of BI and Web practices, which so far have acted rather independently, often in cases where their joint application would have been sensible.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • BI for Designing Adaptive Websites
  • BI with Unstructured Data and Semi-Structured Data
  • Extraction, Transformation, and Load of Web Data
  • NLP Applied to BI
  • Semantic Web Technologies
  • The Role of Web 2.0/3.0 in BI
  • Web Data Quality
  • Web Engineering Techniques for BI Applications
  • Web Integration
  • Web Intelligence
Reviews and Testimonials

Zorrilla, Mazón, Ferrández, Garrigós, Daniel, and Trujillo have done a great job in compiling a book that fills the gap in the related bibliography with an interesting and comprehensive coverage of the challenges that we face for linking business intelligence and the Web. The book contains a mixture of research insights, system architectures, discussion of tools, and real-world cases and organizes the discussion of these issues in two areas of coverage. First, the book covers the area of exploitation of data that are already present in the Web for the purposes of business intelligence. The book discusses topics like the management of unstructured text and its combination with super-structured environments like data warehouses and OLAP tools, as well as the management of relevance, freshness, and in general, quality of the Web data with a view to its exploitation via business intelligence tools. The second area involves the automation of data processing and the usage of the Web as a platform for business intelligence including topics like BI-as-a-service, mashups and the Semantic Web for business intelligence, and, collaborative business intelligence. The book mainly acts as a reference for the state of the art in several areas, including problems and challenges that are not straightforward to be addressed as well as suggestions for paths to follow. The book's primary target is breadth of coverage, with suggestions of the relevant readings for further probing and initial insights for solutions, rather than an in-depth investigation of technical problems in the typical research-oriented fashion. In this sense, the text is easy to follow without losing its interest or significance. In my opinion, the book's primary audience is the interested researcher or practitioner who wants to get a broader view of the environment around the combination of Web and business intelligence, with pointers to the state of the art, as well as the broader challenges that remain open.

– Panos Vassiliadis, Ioannina
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Editor/Author Biographies
Marta Elena Zorrilla Pantaleón is an Assistant Professor in Computer Science at the University of Cantabria (Spain). She earned her Bachelor’s degree in Telecommunication Engineering and PhD in Computer Science at the University of Cantabria in 1994 and 2001, respectively. She has participated in and managed more than 20 research projects, most of them with companies, and she is author of a database book and more than 40 works published in international journals, books, and conferences. She is an active reviewer of several international journals and conferences (DSS, IJCSA, IEEE-Education, IEEE-RITA, SCI, BEWEB, etc.). Her research interests are the design and development of Information Systems and intelligent systems for companies, and, inside the educational area, the application of data mining techniques and OLAP technologies in order to analyse and improve Web-based learning sites.
Jose-Norberto Mazón is Assistant Professor at the Department of Software and Computing Systems in the University of Alicante (Spain). He obtained his Ph.D. in Computer Science from the University of Alicante (Spain) within the Lucentia Research Group. He has published several papers about data warehouses and requirement engineering in national and international workshops and conferences, (such as DAWAK, ER, DOLAP, BNCOD, JISBD and so on) and in several journals such as Decision Support Systems (DSS), SIGMOD Record or Data and Knowledge Engineering (DKE). He has also been co-organizer of the International Workshop on Business Intelligence and the Web (BEWEB 2010) and the International Workshop on The Web and Requirements Engineering (WeRE 2010). His research interests are: business intelligence, design of data warehouses, multidimensional databases, requirement engineering, and model driven development.
Óscar Ferrández is a postdoctoral researcher in the BioMedical Informatics department at the University of Utah (USA). He got his Ph.D in Computational Linguistics at the University of Alicante (Spain) within the Natural Language Processing and Information Systems research group. He has publications in international journals (such as Information Sciences, Data and Knowledge Engineering, and Information Processing and Management) as well as communications in relevant conferences and workshops related to his research field. He has been involved in several national and European research projects together with other international research institutions. He is an active member and reviewer of several international journals and conferences. His research interests are focused on human system interaction; ontologies and Semantic Web; machine learning; knowledge discovering; and natural language processing and its application to clinical records.
Irene Garrigós is an Assistant Professor and post-doc researcher at the University of Alicante, (Spain), from which she holds a PhD and a Master’s in Computer Science. She has published several papers in national and international workshops, conferences, and journals (such as ICWE, ER, WISE, APWEB, JISBD, Information and Software Technologies, Journal of Web Engineering, and so on). Dr. Garrigós has served as a Program Committee member of several workshops and conferences such as ER, JISBD, WISM, MDA, FPUML, UWA, and has served as assistant referee in several international conferences such as WWW and ICWE. She has done research stays in Belgium (Vrije Universiteit Brussel) and the Netherlands (Technische Universiteit Eindhoven). Her research interests are: Web engineering, personalization, model driven development, requirement engineering, Web and business intelligence, and adaptive systems.
Florian Daniel is a postdoctoral researcher at the Department of Information Engineering and Computer Science of the University of Trento, Italy. He has a PhD in Information Technology from Politecnico di Milano, Italy. His main research interests are mash-ups and Web/services engineering, and compliance, quality, and privacy in business intelligence applications. He is co-author of the book “Engineering Web Applications” (Springer, 2009) and has published more than 50 scientific papers in international conferences and journals. Florian is co-organizer of the international workshops ComposableWeb and BEWEB and is involved in the organization of international conferences like BPM, ICSOC, and ICWE.
Juan Trujillo is a Full-time Professor at the Department of Software and Computing Systems in the University of Alicante (Spain). His main research topics include business intelligence applications, data warehouses’ development, OLAP, data mining, UML, MDA, data warehouses security and quality, etc. He has advised 9 PhD students and published more than a 120 papers in different national and international high impact conferences such as the ER, UML, ADBIS or CaiSE, and more than 30 papers in highly ranked international journals indexed by JCR such as the DKE, DSS, ISOFT, IS, or JDBM. He has also been co-editor of five special issues in different JCR journals (e.g. DKE). He has also been PC member of different events and JCR journals such as ER, DAWAK, CIKM, ICDE, DOLAP, DSS, JDM, ISOFT, and DKE, and PC Chair of DOLAP'05, DAWAK'05-'06 and FP-UML’05-’09. Further information on his main research publications can be found on: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/t/Trujillo:Juan.html.
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Editorial Review Board
  • Rafael Berlanga, Universitat Jaume I, Spain
  • Sven Casteleyn, Vrije Universiteit Brussel, Belgium 
  • Maristella Matera, Politecnico di Milano, Italy
  • Andrés Montoyo, Universidad de Alicante, Spain
  • Jesús Pardillo, Universidad de Alicante, Spain
  • Stefano Rizzi, University of Bologna, Italy
  • Alkis Simitsis, Hewlett–Packard Laboratories, USA
  • Mario Piattini, University of Castilla-La Mancha, Spain
  • Gustavo Rossi, University of La Plata, Argentina
  • Michael Thelwall, University of Wolverhampton, UK