|
|
|
|
LEADER |
03976nam a22005058i 4500 |
001 |
3256e7ee-fe3e-43ed-85bd-69662558b932 |
005 |
20240901000000.0 |
008 |
220928s2023 enk b 001 0 eng |
010 |
|
|
|a 2022043890
|
020 |
|
|
|a 1032316802
|
020 |
|
|
|a 1032316810
|
020 |
|
|
|a 9781032316802
|q (hardback)
|
020 |
|
|
|a 9781032316819
|q (paperback)
|
020 |
|
|
|z 9781003310860
|q (ebook)
|
035 |
|
|
|a (OCoLC)1348643755
|
040 |
|
|
|a DLC
|b eng
|e rda
|c DLC
|d OCLCF
|d DDO
|
042 |
|
|
|a pcc
|
050 |
0 |
0 |
|a D16.12
|b .N364 2023
|
082 |
0 |
0 |
|a 902.85
|2 23/eng/20221024
|
100 |
1 |
|
|a Nanetti, Andrea,
|e author
|0 http://viaf.org/viaf/75643223
|
245 |
1 |
0 |
|a Computational engineering of historical memories :
|b with a showcase on Afro-Eurasia (ca 1100-1500 CE) /
|c Andrea Nanetti
|
246 |
3 |
0 |
|a Computational EHM : with a showcase on Afro-Eurasia (ca 1100-1500 CE)
|
263 |
|
|
|a 2302
|
264 |
|
1 |
|a Abingdon, Oxon ;
|a New York, NY :
|b Routledge, Taylor & Francis Group,
|c 2023
|
300 |
|
|
|a xxi, 164 pages ;
|c 23 cm
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a unmediated
|b n
|2 rdamedia
|
338 |
|
|
|a volume
|b nc
|2 rdacarrier
|
500 |
|
|
|a "Routledge Focus"--Cover
|
500 |
|
|
|a "[T]his book results from a long process of summarising, expanding, reworking, and updating research materials conceived and only partially published in English, Italian, Chinese and Korean between 2007 and 2022.... [T]his book provides a robust theoretical discussion on the opportunities and limits of the use of computers in the historian's craft."--Preface, page xviii
|
504 |
|
|
|a Includes bibliographical references and index
|
505 |
0 |
|
|a 1. Computational engineering of historical memories -- 2. Historians and computers -- 3. History, films, and online video streaming -- 4. Languages and cultures at the computational turn -- 5. EHM showcase on Afro-Eurasia (ca 1100-1500 CE)
|
520 |
|
|
|a "Nanetti outlines a methodology for deploying artificial intelligence and machine learning to enhance historical research. Historical events are the treasure of human experiences, the heritage that societies have used to remain resilient and express their identities. Nanetti has created and developed an interdisciplinary methodology supported by practice-based research that serves as a pathway between historical and computer sciences to design and build computational structures that analyse how societies create narratives about historical events. This consilience pathway aims to make historical memory machine-understandable. It turns history into a computational discipline through an interdisciplinary blend of philological accuracy, historical scholarship, history-based media projects, and computational tools. Nanetti presents the theory behind this methodology from a humanities perspective and discusses its practical application in user interface and experience. An essential read for historians and scholars working in the digital humanities."--
|c Provided by publisher
|
650 |
|
0 |
|a Artificial intelligence
|
650 |
|
0 |
|a Collective memory
|
650 |
|
0 |
|a History in motion pictures
|x Data processing
|
650 |
|
0 |
|a History
|x Data processing
|
650 |
|
0 |
|a Machine learning
|
650 |
|
7 |
|a Artificial intelligence
|2 fast
|0 http://id.worldcat.org/fast/817247
|
650 |
|
7 |
|a Collective memory
|2 fast
|
650 |
|
7 |
|a History
|x Data processing
|2 fast
|
650 |
|
7 |
|a Machine learning
|2 fast
|0 http://id.worldcat.org/fast/1004795
|
776 |
0 |
8 |
|i Online version:
|a Nanetti, Andrea
|t Computational engineering of historical memories
|d Abingdon, Oxon ; New York, NY : Routledge, 2023
|z 9781003310860
|w (DLC) 2022043891
|
999 |
1 |
0 |
|i 3256e7ee-fe3e-43ed-85bd-69662558b932
|l 99156693264603941
|s US-MH
|m computational_engineering_of_historical_memorieswith_a_showcase_on_afr_____2023_______routla________________________________________nanetti__andrea____________________p
|
999 |
1 |
1 |
|l 99156693264603941
|s ISIL:US-MH
|t BKS
|a DDO GEN
|b 32044163499759
|c D16.12 .N364 2023X
|d 0
|x 62 BOOK
|y 232582170290003941
|p UNLOANABLE
|