Catálogo de publicaciones - libros

In this chapter we have perceived that data quality is a multidisciplinary area. This is not surprising, since data, in a variety of formats and with a variety of media, are used in every real-life or business activity, and deeply influence the quality of processes that use data. Many private and public organizations have perceived the impact of data quality on their assets and missions, and have consequently launched initiatives of large impact. At the same time, while in monolithic information systems data are processed within controlled activities, with the advent of networks and the Internet, data are created and exchanged with much more “turbulent” processes, and need more sophisticated management.

The issues discussed in this chapter introduce to the structure of the rest of the book: dimensions, models, techniques, methodologies, tools, and frameworks will be the main topics addressed. While data quality is a relatively new research area, other areas, such as statistical data analysis, have addressed in the past some aspects of the problems related to data quality; with statistical data analysis, also knowledge representation, data mining, management information systems, and data integration share some of the problems and issues characteristic of data quality, and, at the same time, provide paradigms and techniques that can be effectively used in data quality measurement and improvement activities.

Search engines are among the most important services on the Web. Due to the scale of the ever-growing Web, classic centralized models and algorithms can no longer meet the requirements of a search system for the whole Web. Decentralization seems to be an attractive alternative. Consequently Web retrieval has received growing attention in the area of peer-to-peer systems. Decentralization of Web retrieval methods, in particular of text-based retrieval and link-based ranking as used in standard Web search engines have become subject of intensive research. This allows both to distribute the computational effort for more scalable solutions and to share different interpretations of the Web content to support personalized and context-dependent search. In this paper we first review existing studies about the algorithmic feasibility of realizing peer-to-peer Web search using text and link-based retrieval methods. From our perspective realizing peer-to-peer Web retrieval also requires a common framework that enables interoperability of peers using different peer-to-peer search methods. Therefore in the second part we introduce a common framework consisting of an architecture for peer-to-peer information retrieval and a logical framework for distributed ranking computation.

In this last chapter we outlined the future development of the data quality research area. In addition to what was presented in this book, in the next ten years there will probably be a widespread increase in contributions in the area, with new paradigms and approaches. Indeed, information is a “plastic” concept and resource, that can hardly be encapsulated into fixed models and techniques. We use textual information to write poetry, facial information to express emotions, musical information to compose or listen to operas. What does it mean that a note in a symphony is executed wrong? It is not easy to formalize this concept, and, probably, it is not useful, since a huge number of phenomena, luckily for us, have to be perceived, and will continue to be perceived, on the basis of our feelings and emotions.

In this chapter we have introduced several data quality activities, discovering that the improvement of data quality in an organization can be performed with a variety of actions and strategies. All of the activities introduced apply to data, and produce data of improved quality according to a given process. Other improvement activities can rely on processes that manipulate data, modifying the process or introducing suitable controls in the process; we will discuss them in Chapter 7.

We have also started the discussion on activities while thoroughly analyzing (i) quality composition, and (ii) error localization and correction. Finally, we have discussed cost-benefit classifications in data quality, that can be used as check lists in the process of cost and benefit allocation. For quality composition and error localization and correction we introduced a spectrum of techniques for several possible cases, while for cost/benefit classifications we compared the different approaches. In such a way, we provided a framework for analysis that allows the reader to choose the specific approach to adopt based on the context of use.

In this last chapter we outlined the future development of the data quality research area. In addition to what was presented in this book, in the next ten years there will probably be a widespread increase in contributions in the area, with new paradigms and approaches. Indeed, information is a “plastic” concept and resource, that can hardly be encapsulated into fixed models and techniques. We use textual information to write poetry, facial information to express emotions, musical information to compose or listen to operas. What does it mean that a note in a symphony is executed wrong? It is not easy to formalize this concept, and, probably, it is not useful, since a huge number of phenomena, luckily for us, have to be perceived, and will continue to be perceived, on the basis of our feelings and emotions.

In this last chapter we outlined the future development of the data quality research area. In addition to what was presented in this book, in the next ten years there will probably be a widespread increase in contributions in the area, with new paradigms and approaches. Indeed, information is a “plastic” concept and resource, that can hardly be encapsulated into fixed models and techniques. We use textual information to write poetry, facial information to express emotions, musical information to compose or listen to operas. What does it mean that a note in a symphony is executed wrong? It is not easy to formalize this concept, and, probably, it is not useful, since a huge number of phenomena, luckily for us, have to be perceived, and will continue to be perceived, on the basis of our feelings and emotions.

Search engines are among the most important services on the Web. Due to the scale of the ever-growing Web, classic centralized models and algorithms can no longer meet the requirements of a search system for the whole Web. Decentralization seems to be an attractive alternative. Consequently Web retrieval has received growing attention in the area of peer-to-peer systems. Decentralization of Web retrieval methods, in particular of text-based retrieval and link-based ranking as used in standard Web search engines have become subject of intensive research. This allows both to distribute the computational effort for more scalable solutions and to share different interpretations of the Web content to support personalized and context-dependent search. In this paper we first review existing studies about the algorithmic feasibility of realizing peer-to-peer Web search using text and link-based retrieval methods. From our perspective realizing peer-to-peer Web retrieval also requires a common framework that enables interoperability of peers using different peer-to-peer search methods. Therefore in the second part we introduce a common framework consisting of an architecture for peer-to-peer information retrieval and a logical framework for distributed ranking computation.

In this last chapter we outlined the future development of the data quality research area. In addition to what was presented in this book, in the next ten years there will probably be a widespread increase in contributions in the area, with new paradigms and approaches. Indeed, information is a “plastic” concept and resource, that can hardly be encapsulated into fixed models and techniques. We use textual information to write poetry, facial information to express emotions, musical information to compose or listen to operas. What does it mean that a note in a symphony is executed wrong? It is not easy to formalize this concept, and, probably, it is not useful, since a huge number of phenomena, luckily for us, have to be perceived, and will continue to be perceived, on the basis of our feelings and emotions.

In this last chapter we outlined the future development of the data quality research area. In addition to what was presented in this book, in the next ten years there will probably be a widespread increase in contributions in the area, with new paradigms and approaches. Indeed, information is a “plastic” concept and resource, that can hardly be encapsulated into fixed models and techniques. We use textual information to write poetry, facial information to express emotions, musical information to compose or listen to operas. What does it mean that a note in a symphony is executed wrong? It is not easy to formalize this concept, and, probably, it is not useful, since a huge number of phenomena, luckily for us, have to be perceived, and will continue to be perceived, on the basis of our feelings and emotions.