dspace for cultural heritage: adding support for images visualization,audio/video streaming and...
TRANSCRIPT
DSPACE FOR CULTURAL HERITAGE: ADDING SUPPORT FOR IMAGE VISUALIZATION, AUDIO/VIDEO STREAMING
AND ENHANCING THE DATA MODEL
GLAM
A variety of multidisciplinarydata are related to Cultural Heritage
Different in:TypologyFormatStructureScale
More and more complexity…
In the humanities most of the dataare created or collected by people(not measured by instruments)
They are affected by individuals, place, time
The are fragmentary, partial, biased
Source: http://www.asianscientist.com/2016/07/print/body-as-a-source-of-big-data/
Putting data in context…
Digital Cultural Data have to be analyzed togetherwith all contextual information, digital and notdigital, needed to answer research questions, suchas:
• (cultural, social, economic, technological…) production context of a document/monument
• formation processes of the archaeologicalrecord
• contextual associations at different levels and scales (according to the different dimensions of variations)
Source: https://ddd.uab.cat/pub/expbib/2006/terradefoc/10.pdf
…within a Digital Library Management System
Today most of the cultural digital resources are in the Digital Libraries or Repositories
Digital Libraries and Repositories must provide tools for:
• modeling, visualising and analysing information, both in a qualitative and quantitative way, as well as collaboratively working on it
• highlighting the relationships between data at different scales• explaining interpretations about the important dimensions of variation and about the network
of contextual relations in which historical and archaeological sources are involved
entering the daily workflow of historians, archaeologists and humanities scholars.
,
DSpace-GLAM(Galleries, Libraries, Archives, Museums)
Built by 4Science on top of DSpace and DSpace-CRIS to meet the needs of Cultural Heritage institutions
Flexible and extensible data model to manage relevant metadata standardsand specific conceptual models
Dedicated add-ons for digital objectscuration, fruition and sharing
Add-on for datasets visualization and analysis
Extending the Data Model
DSpace-GLAM can manage all the entities important to contextualize the digital cultural heritage:
• Persons• Families• Fonds• Events• Places• Concepts• …………..
Entities can be created to integrate different metadata standards and conceptual models
Managing archival objects
The data model can be extended in order to manage the hierarchical metadata structure required by archivalstandards such as ISAD (G) and EAD
DSpace-GLAM can also manage the production and preservation context of the archive required by ISAAR-CPF, EAC-CPF and ISDIAH
https://dspace-glam.4science.it/cris/fonds/fonds00036/fondscontext.html
Overview of the DSpace-GLAM data model
Overview of the DSpace-GLAM data model
Overview of the DSpace-GLAM data model
Extending the Data Model
Painting: The flagellation Painter: Piero della Francesca
Event: Council of Ferrara (AD 1438)
Event: Council of Mantua (AD 1459)
Place: Ferrara Concept: RenaissanceConcept: Humanism
Person: Emperor John VIII Palaiologos
Place: Mantua
https://dspace-glam.4science.it/cris/rp/rp00001
Interpretation: Ronchey
Visualizing relationships between historical figures
4Science IIIF Image Viewer Addon
IIIF Compliant
1. Presentation API
2. Image API
3. Search API
4. Authentication API (soon)
DSpace item with “see online option”
Offering an integrated Universal Viewerplayer
IIIF Image API allows a smooth interaction with the image files
IIIF Presentation API generated on the fly using the metadata of the item and the bitstreams
Bitstreams metadata
Hierarchical ToC
An example from a PDF document offered as a complex package of page-image
Link images with their textual transcription / OCR
Indexing standard format (hOCR) in a webannotationserver to supply IIIF Search API
Side by side – image vs text using an additional OCR panel
An example in Arabic charactershttps://dspace-glam.4science.it/handle/1234/24
IIIF Image Viewer: share and reuse
Share images with other scholars/users without waiving proper attribution, e.g. using the «manifest» JSON file:
https://dspace-glam.4science.it/json/iiif/1234/11/30/manifest
in another IIIF Image Viewer:http://projectmirador.org/demo/
Audio/Video streaming
Full open source stack:1. Transcoding2. Adaptive streaming3. MPEG-DASH standard
Audio/Video streaming
https://dspace-glam.4science.it/explore?bitstream_id=1841&handle=1234/7&provider=video-streaming
Allows the transcode of the audio/video formats in a format and encoding appropriate to the adopted media server (adaptive video streaming)
Using the DASH standard protocol allows sharing video with other scholars/users without waiving proper attribution, e.g. using the «manifest» XML file: https://dspace-glam.4science.it/av-stream/1841/ch/0/29/94/83/manifest.mpd
in another DASH clienthttp://dashif.org/reference/players/javascript/v2.4.1/samples/dash-if-reference-player/index.html
Visualizing and analysing datasets
We look at Dspace-GLAM not only as a tool for management and preservation, but also for analysis
Our integration with CKAN allows the visualization and analysis of repertoires and inventories by means of grids, graphs or maps
Datasets can also be related to items and otherentities
https://dspace-glam.4science.it/handle/1234/15
Archaeological finds geolocalization
https://dspace-cris.4science.it/ch/explore?bitstream_id=1927&handle=1234/15&provider=ckan-recline
Visualizing and analysing datasets
https://dspace-glam.4science.it/explore?bitstream_id=1971&handle=1234/22&provider=ckan-recline
Pottery distribution
Why do I need DSpace-GLAM?
• DSpace-GLAM is a powerful extension of DSpace created by 4Science
to meet the needs of Galleries, Libraries, Archives and Museums
• to be able to manage, analyze and preserve digital objects
• together with historical, archaeological or other cultural datasets,
• relating them with other entities such as persons, events, places,
concepts, etc.
• to describe the context of cultural objects and data, according to
different granularity levels, and to different interpretations
• using worldwide adopted, cutting-edge, open-source software and
open standards
• The goal is to provide an environment for integrating the traditional hermeneutic and interpretative work of historical sciences with data analysis
• In this way, we hope, there may be a fundamental change in the way digital cultural heritage is experienced, analyzed and contributed to by the whole scientific community
Data Science in a Digital Humanities Framework
Thanks for your attention
Andrea Bollini
mobile: +39 333 934 1808
skype: a.bollini
orcid: 0000-0002-9029-1854
Claudio Cortese
mobile: 333 9340846
skype: claudio.cortese74
orcid: 0000-0003-4572-9711