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 A new wealth of digitized historical documents have however opened up completely new challenges for the computer-assisted analysis of e.g. large text or image corpora.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.
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Natural language processing and text analytics applied to historical documents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
11月06日
2017
11月10日
2017
注册截止日期
留言