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HistoInformatics 2017 - the 4th International (half-day) Workshop on Computational History will be held on 6 November, 2017 in conjunction with the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), Singapore. Traditionally, historical research is based on the hermeneutic investigation of preserved records and artifacts to provide a reliable account of the past and to discuss different hypotheses. Alongside this hermeneutic approach historians have always been interested in translating primary sources into data and used methods, often borrowed from the Social Sciences, to analyze them. A new wealth of digitized historical documents have however opened up completely new challenges for the computer-assisted analysis of e.g. large text or image corpora. Historians can greatly benefit from the advances of Computer and Information Sciences which are dedicated to the processing, organization and analysis of such data. New computational techniques can be applied to help verify and validate historical assumptions. We call this approach HistoInformatics, analogous to Bioinformatics and ChemoInformatics which have respectively proposed new research trends in Biology and Chemistry. The main topics of the proposed workshop are: (1) support for historical research and analysis in general through the application of Computer Science theories or technologies, (2) analysis and re-use of historical texts, (3) analysis of collective memories, (4) visualisations of historical data, (5) access to large wealth of accumulated historical knowledge.

This is a highly interdisciplinary workshop that goes beyond traditional Computer Acience topics. The workshop emphasizes non-standard, research-oriented informatics technologies for solving novel research problems and scenarios. Our objective is to provide for the two different research communities a place to meet and exchange ideas and to facilitate discussion. We hope the workshop will result in a survey of current problems and potential solutions, with particular focus on exploring opportunities for collaboration and interaction of researchers working on various subareas within Computer Science and History Sciences.

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We are interested in a wide range of topics which are of relevance for History, the Cultural Heritage sector and the Humanities in general. Topics of interest include (but are not limited to):

  • Natural language processing and text analytics applied to historical documents

  • Analysis of longitudinal document collections

  • Search and retrieval in document archives and historical collections, associative search

  • Causal relationship discovery based on historical resources

  • Named entity recognition and disambiguation

  • Entity relationship extraction, detecting and resolving historical references in text

  • Finding analogical entities over time

  • Computational linguistics for old texts

  • Analysis of language change over time

  • Digitizing and archiving

  • Modeling evolution of entities and relationships over time

  • Automatic multimedia document dating

  • Applications of Artificial Intelligence techniques to History

  • Simulating and recreating the past course of actions, social relations, motivations, figurations

  • Handling uncertain and fragmentary text and image data

  • Automatic biography generation

  • Mining Wikipedia for historical data

  • OCR and transcription of old texts

  • Effective interfaces for searching, browsing or visualizing historical data collections

  • Studies on collective memory

  • Studying and modeling forgetting and remembering processes

  • Estimating credibility of historical findings

  • Probing the limits of Histoinformatics

  • Epistemologies in the Humanities and Computer Science

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重要日期
  • 会议日期

    11月06日

    2017

    11月10日

    2017

  • 11月10日 2017

    注册截止日期

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美国计算机学会
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