| 000 | 04573nam a2200361 i 4500 | ||
|---|---|---|---|
| 001 | 47369 | ||
| 008 | 150727s2015 sz m u000 0 eng d | ||
| 020 |
_a9783319198842 _qelectronic bk |
||
| 020 |
_a331919884X _qelectronic bk |
||
| 020 |
_a9783319198835 _q(hardback) |
||
| 035 | _a(OCoLC)914472074 | ||
| 040 |
_aN$T _beng _erda _epn _cN$T _dGW5XE _dN$T _dOCLCO _dIDEBK _dYDXCP _dAZU _dBAUN |
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| 049 | _aBAUN_MERKEZ | ||
| 050 | 0 | 4 |
_aHB871 _b.P678 2015 |
| 082 | 0 | 4 | _223 |
| 245 | 0 | 0 |
_aPopulation reconstruction / _cGerrit Bloothooft, Peter Christen, Kees Mandemakers, Marijn Schraagen, editors. |
| 264 | 1 |
_aCham : _bSpringer, _c2015. |
|
| 300 |
_ax, 302 pages : _billustrations. ; _c24 cm. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_avolume _bnc _2rdacarrier |
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| 500 | _aIncludes index. | ||
| 505 | 0 | 0 |
_t-- Part I Data quality: cleaning and standardization _t-- 1 The Danish Demographic Database _t-- principles and methods for cleaning and standardization of data _t-- 2 Dutch historical toponyms in the Semantic Web _t-- 3 Automatic methods for coding historical occupation descriptions to standard classifications _t-- 4 Learning name variants from inexact high-confidence matches _t-- Part II Record linkage and validation _t-- 5 Advanced record linkage methods and privacy aspects for population reconstruction _t-- a survey and case studies _t-- 6 Reconstructing historical populations from genealogical data files _t-- 7 Multi-source entity resolution for genealogical data _t-- 8 Record linkage in the Historical Population Registry for Norway _t-- 9 Record linkage in Medieval and early modern texts _t-- Part III Life course reconstruction _t-- 10 Reconstructing lifespans through historical marriage records of Barcelona from the 16th and 17th centuries _t-- 11 Dancing with dirty data: Problems in the extraction of life-course evidence from historical censuses _t-- 12 Using the Canadian censuses of 1852 and 1881 for automatic data linkage: a case study of intergenerational social mobility _t-- 13 Introducing 'movers' into community reconstructions: linking civil registers of vital events to local and national census data: a Scottish experiment _t-- 14 Linking strategies for building a life course dataset from Australian convict records; Founders and Survivors: Australian Life Courses in Historical Context, 1803-1920. |
| 520 | _aThis book addresses the problems that are encountered, and solutions that have been proposed, when we aim to identify people and to reconstruct populations under conditions where information is scarce, ambiguous, fuzzy and sometimes erroneous. The process from handwritten registers to a reconstructed digitized population consists of three major phases, reflected in the three main sections of this book. The first phase involves transcribing and digitizing the data while structuring the information in a meaningful and efficient way. In the second phase, records that refer to the same person or group of persons are identified by a process of linkage. In the third and final phase, the information on an individual is combined into a reconstruction of their life course. The studies and examples in this book originate from a range of countries, each with its own cultural and administrative characteristics, and from medieval charters through historical censuses and vital registration, to the modern issue of privacy preservation. Despite the diverse places and times addressed, they all share the study of fundamental issues when it comes to model reasoning for population reconstruction and the possibilities and limitations of information technology to support this process. It is thus not a single discipline that is involved in such an endeavor. Historians, social scientists, and linguists represent the humanities through their knowledge of the complexity of the past, the limitations of sources, and the possible interpretations of information. The availability of big data from digitized archives and the need for complex analyses to identify individuals calls for the involvement of computer scientists. With contributions from all these fields, often in direct cooperation, this book is at the heart of the digital humanities, and will hopefully offer a source of inspiration for future investigations. | ||
| 650 | 0 | _aDemography. | |
| 650 | 0 |
_aDemography _xMethodology. |
|
| 650 | 0 | _aPopulation research. | |
| 700 | 1 | _aBloothooft, Gerrit, | |
| 700 | 1 | _aChristen, Peter, | |
| 700 | 1 | _aMandemakers, Kees, | |
| 700 | 1 | _aSchraagen, Marijn, | |
| 942 |
_2lcc _cKT |
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| 999 |
_c50139 _d50139 |
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