The main topics of the workshop are that of supporting historical research and analysis through the application of Computer Science theories or technologies, analyzing and making use of historical texts, recreating past course of actions, analyzing collective memories, visualizing historical data and providing efficient access to large wealth of historical knowledge. The detailed topics of expected paper submissions are (but not limited to):

Processing and text mining of historical documents
Analysis of longitudinal document collections
Search models in document archives and historical collections, associative search
Causal relationship discovery based on historical resources
Entity relationship extraction, detecting and resolving historical references in text
Computational linguistics for old texts
Digitizing and archiving
Computational methods for digital history
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
Analysis of language change over time
Handling uncertain and fragmentary text and image data
Finding analogical entities
Entity linking in historical collections
Named entity detection
Automatic biography generation
Mining Wikipedia for historical data
OCR and transcription old texts
Effective interfaces for searching, browsing or visualizing historical data collections
Collective memory
Studying and modeling forgetting and remembering processes
Vulgarization of History through new media
Probing the limits of Histoinformatics
Epistemologies in the Humanities and Computer Science