rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: COMPUTATIONAL ENGINEERING OF HISTORICAL MEMORIES
    sub title: with a showcase on afro-eurasia (ca 1100-1500 ce)
  name:
    name part: Nanetti, Andrea.
    role:
      role term: creator
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    place:
      place term: S.l.]
    publisher: ROUTLEDGE
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: 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.
  table of contents: Computational engineering of historical memories -- Historians and computers -- History, films, and online video screening -- Languages and cultures at the computational turn -- EHM showcase on Afro-Eurasia (ca 1100-1500 CE).
  note: Dr. Andrea Nanetti is an award-winning and internationally recognised expert in Digital Humanities. He has carried out trailblazing research in Europe, the United States, China, Africa, and South-East Asia for over 30 years. Since 2013, he has been a Professor at Nanyang Technological University, Singapore. Using the history of Venice as contextualised within late medieval Afro-Eurasian trade systems, he achieved international standing within a broad research spectrum that spans from critical editions of primary historical sources to computational applications and web-based media. As a result, several world's top-level institutions, including Harvard University, Princeton University, Shanghai Jiao Tong University, Brown University, Johns Hopkins University, and Ca' Foscari University of Venice, invited him to be a visiting fellow.
  subject:
    topic: History
    topic: Research
    topic: Data processing
  subject:
    topic: Collective memory
    topic: Research
    topic: Data processing
  subject:
    topic: Artificial intelligence
  subject:
    topic: History
    topic: Research
    topic: Methodology
  subject:
    topic: Collective memory
    topic: Research
    topic: Methodology
  subject:
    topic: Histoire
    topic: Recherche
    topic: Informatique
  subject:
    topic: Mémoire collective
    topic: Recherche
    topic: Informatique
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Histoire
    topic: Recherche
    topic: Méthodologie
  subject:
    topic: Mémoire collective
    topic: Recherche
    topic: Méthodologie
  subject:
    topic: artificial intelligence
  subject:
    topic: HISTORY / General
  subject:
    topic: HISTORY / Study & Teaching
  subject:
    topic: Artificial intelligence
  subject:
    topic: History
    topic: Research
    topic: Data processing
  subject:
    topic: History
    topic: Research
    topic: Methodology
  classification: D16.12
  classification: 907.21
  related item:
    identifier: (OCoLC)1330689757
  identifier: 9781003310860
  identifier: 1003310869
  identifier: 1000802078
  identifier: 9781000802085
  identifier: 1000802086
  identifier: 9781000802078
  identifier: 1032316802
  identifier: 9781032316802
  identifier: 9781003310860 Taylor & Francis
  identifier: 60B4728F-424E-4000-BDFD-CBB317933C5A OverDrive, Inc.
  identifier: https://www.taylorfrancis.com/books/9781003310860
  record info:
    record content source: YDX
    record creation date: 220621
    record change date: 20240130225749.8
    record identifier: in00004769199
    language of cataloging:
      language term: eng