Data archiving has, for many years, been the most disregarded aspect of all data systems. The increase in numbers of telescopes, both groundbased and space-borne, and the increase in efficiency of detectors have generated overwhelming amounts of data. Much of these data were and are not used on short timescales and (should) have been archived, where they can be used later and/or by others. Archiving is essential. Objects can change in the course of time. New technological or scientific developments might require observing objects again. The cost-benefit ratio will become more and more important when considering the allocation of telescope time. The retrieval of `old' data can then be crucial. At present there are a number of data collections and data retrieval systems. This book includes a series of clear and up-to-date descriptions of many important available data systems. For professional astronomers, librarians and computer engineers.

The ability of storing, managing, and giving access to the huge quantity of data collected by astronomical observatories is one of the major challenges of modern astronomy. At the same time, the growing complexity of data systems implies a change of concepts: the scientist has to manipulate data as well as information. Recent developments of the `WorldWideWeb' bring interesting answers to these problems. The book presents a wide selection of databases, archives, data centers, and information systems. Clear and up-to-date descriptions are included, together with their scientific context and motivations. Audience: This volume provides an essential tool for astronomers, librarians, data specialists and computer engineers.

In this book are reported the main results presented at the "Fourth International Workshop on Data Analysis in Astronomy", held at the Ettore Majorana Center for Scientific Culture, Erice, Sicily, Italy, on April 12-19, 1991. The Workshop was preceded by three workshops on the same subject held in Erice in 1984, 1986 and 1988. The frrst workshop (Erice 1984) was dominated by presentations of "Systems for Data Analysis"; the main systems proposed were MIDAS, AlPS, RIAIP, and SAIA. Methodologies and image analysis topics were also presented with the emphasis on cluster analysis, multivariate analysis, bootstrap methods, time analysis, periodicity, 2D photometry, spectrometry, and data compression. A general presentation on "Parallel Processing" was made which encompassed new architectures, data structures and languages. The second workshop (Erice 1986) reviewed the "Data Handling Systems" planned for large major satellites and ground experiments (VLA, HST, ROSAT, COMPASS-COMPTEL). Data analysis methods applied to physical interpretation were mainly considered (cluster photometry, astronomical optical data compression, cluster analysis for pulsar light curves, coded aperture imaging). New parallel and vectorial machines were presented (cellular machines, PAPIA-machine, MPP-machine, vector computers in astronomy). Contributions in the field of artificial intelligence and planned applications to astronomy were also considered (expert systems, artificial intelligence in computer vision).

Data archiving has, for many years, been the most disregarded aspect of all data systems. The increase in numbers of telescopes, both groundbased and space-borne, and the increase in efficiency of detectors have generated overwhelming amounts of data. Much of these data were and are not used on short timescales and (should) have been archived, where they can be used later and/or by others. Archiving is essential. Objects can change in the course of time. New technological or scientific developments might require observing objects again. The cost-benefit ratio will become more and more important when considering the allocation of telescope time. The retrieval of 'old' data can then be crucial. At present there are a number of data collections and data retrieval systems. This book includes a series of clear and up-to-date descriptions of many important available data systems. For professional astronomers, librarians and computer engineers.

'Fractal geometry addressesitselfto questions that many people have been asking themselves. It con cerns an aspect of Nature that almost everybody had been conscious of, but could not address in a formal fashion. ' 'Fractal geometry seems to be the proper language to describe the complezity of many very compli cated shapes around us. ' (Mandelbrot, 1990a) 'I believe that fractals respond to a profound un easiness in man. ' (Mandelbrot, 1990b) The catchword fractal, ever since it was coined by Mandelbrot (1975) to refer to a class of abstract mathematical objects that were already known at the turn ofthe 19th century, has found an unprecedented resonance both inside and outside the scientific community. Fractal concepts, far more than the concepts of catastrophe theory introduced a few years earlier, are currently being applied not only in the physical sciences, but also in biology and medicine (Goldberger and West 1987). In the mid-eighties, Kadanoff (1986) asked the question: 'Why all the fuss about /ractals'! '. He offered a twofold answer: in the first place, it is 'because of the practical, technological importance of fractal objects'. Indeed he emphasised the relevance of these structures for materials scientists and oil drilling engineers, in search of structures with novel properties, or models for the flow of oil through the soil. His second answer was: 'Because of the intellectual interest of fractals '.

Intelligent information Retrieval comprehensively surveys scientific information retrieval, which is characterized by growing convergence of information expressed in varying complementary forms of data - textual, numerical, image, and graphics; by the fundamental transformation which the scientific library is currently being subjected to; and by computer networking which as become an essential element of the research fabric. Intelligent Information Retrieval addresses enabling technologies, so-called `wide area network resource discovery tools', and the state of the art in astronomy and other sciences. This work is essential reading for astronomers, scientists in related disciplines, and all those involved in information storage and retrieval.

Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants. Addresses both astronomy and geosciences in parallel, from a big data perspective Includes introductory information, key principles, applications and the latest techniques Well-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these fields

Reports the main results of an international workshop in Erice, Sicily, April 1991, at which astronomers and computer scientists reviewed the evolution of data analysis in astronomy during the past decade. The 32 papers cover systems and archives; the HST, ROSAT, and GRO missions, and future mission

The ship has left the Miraflores Locks, let loose from the 'mules' run by the crews of the Panama Canal Commission. She has picked up speed while passing under the Bridge of the Americas which links de facto the Northern and Southern parts of the continent, and has headed resolutely towards the Pacific Ocean waters along the rows of boats of all kinds waiting to cross the Canal in the other direction. Through a layer of tropical clouds, the setting Sun is bleakly illuminating the tall white highrises of Panama City on the port side. It took a full day to cautiously move through the whole system of locks and cuts. Back in the stateroom, I open again a working copy of this book and type down this foreword on the pocket computer. The last chapter was received the day before while speeding through the Caribbean Sea and my main work as Editor is now over. It has been a real pleasure and a great honour to be given the oppor tunity of compiling this book and interacting with the various contributors through the latest technologies while being sometimes in geographically very different places. The quality of the authors, the scope of experiences they cover, the messages they convey make of this book a unique and timely publication. The reader will certainly enjoy as much as I did going through such a variety of well-inspired chapters from so many different horizons.