Author: Stefan Rohde-Enslin

Types of virtual entities

ViMM Working Group 3.1 undertook work on a typology of virtual entities (e.g. virtual exhibition, virtual visitor, hologram, virtual reconstructions, 3D object, etc.) excluding “virtual museum” – which is defined by ViMM WG 1.1. This typology was intended as a set of definitions outlining the differences between these entities. WG 3.1 produced a first set of agreed-upon concepts and definitions for the relevant virtual entities identified. All findings underwent a final evaluation process in the group. The working group decided to clearly distinguish between virtual entities (in the sense of “pretending to be …”, “not totally …”) and digital entities. Virtual entities might be (and nowadays often are) digital in nature but they are not necessarily digital. Digital entities might be virtual in relation to corresponding entities in the analogue realm, but in cases where such correspondence is not given, they are not virtual entities. Often the terms are used interchangeably, but the differences have to be observed as they denote different qualities of the entities. Terms that, in the understanding of the Working Group experts are not virtual entities or not related to virtual cultural heritage: • Virtual business (not related to CH) • Virtual excavation (not related to CH) • Virtual enterprise (not related to CH) • Virtual heritage (existing definitions rejected) • Virtual image (not related to CH) • Virtual Learning Environment (Might be called a...

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Examples for automatic information extraction

VIMM Working Group 3.3 collected and discussed examples from different fields of automatic information extraction relevant for virtual cultural heritage, such as text-mining, image pattern recognition (interpretation) etc. After listing mechanisms for automatic information extraction and collecting examples, these findings were examined and discussed with regard to the relevance for the field of CH. The outcomes include a list of examples of automatic information extractions. Everyone is invited to enrich, discuss and comment this list.   Example/ Title BBC World Service radio archive Method of AIE automatic extraction of topics Area of application Audio Aim They first used speech-to-text technology to create transcripts, albeit “noisy” ones. They then built a “semantic tagger” called KiWi, specially designed to work on the “noisy” transcripts, that automatically assigns topics, drawn from DBpedia, Wikipedia’s store of structured data, to the radio programmes. From this data they built a prototype website that lets people explore this archive. And while doing so they can approve, correct, or add to this machine-generated metadata to make the whole thing better for all. Technology speech-to-text; entity extraction from text Affiliated project Link http://www.bbc.co.uk/rd/projects/worldservice-archive-proto Further reading Why best-practice? BBC materials are a good example of a varied cultural heritage resource. They have worked extensively to implement Linked Data within their systems.  This experiment links automatic extraction to human review/correction, which I think is a good approach. Comment (Pros, Cons)...

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CIDOC 2018: Call for papers open

The annual CIDOC conference will take place this year in Heraklion, Crete from September 29 until October 4. The title of the conference is: Provenance of knowledge. Topics include: Object information as historical source Object documentation and archival resources Field research and object documentation Oral tradition and witnessing information in connection with objects Documentation and interdisciplinarity Object documentation and analytical resources Provenance of materials and techniques Documentation for target groups (e.g. special needs) Methods of knowledge verification and documentation of knowledge revision Ethics of provenance of information Provenance of knowledge and preservation of referred sources The call for papers is open now! Submission deadline for papers is February 28, 2018. More information at:...

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Documentation of Virtual Cultural Heritage and Citizen Science Projects

ViMM – Working Group 3.2 collected various kinds of Citizen Science projects that might help improve the documentation of virtual cultural heritage in general and virtual exhibitions in specific. The collection and discussion of such projects is continuing. So far the discussions in the Working Group revealed that (apart from translation projects) most of them are in the realm of natural science and nearly none is yet directly focussing the improvement of documentation of virtual cultural heritage or virtual exhibition. Below you find the list of projects discussed so far. If you know relevant Citizen Science projects, please help us in enlarging the list. Project Name Description Keywords Other Altes Leipzig With the support of citizens of Leipzig the project tries to create a virtual city archive by collecting data of former inhabitants and buildings from the last 300 years. http://www.altes-leipzig.de/ collecting Anno Tate AnnoTate is a transcription tool developed to enable volunteers to read and transcribe the personal papers of British-born and émigré artists. Drawn from the world’s largest archive of British Art – Tate Archive – participants can help to provide full text transcriptions of handwritten documents, helping to reveal the inspiration and stories behind some of the greatest works of the past century. https://anno.tate.org.uk/#!/ transcription Art Detective Art Detective aims to improve knowledge of the UK’s public art collection. It is an award-winning, free-to-use online network...

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