Medici for Digital Cultural Heritage Libraries. George Tsouloupas, PhD The LinkSCEEM Project
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1 Medici for Digital Cultural Heritage Libraries George Tsouloupas, PhD The LinkSCEEM Project
2 Overview of Digital Libraries A Digital Library: "An informal definition of a digital library is a managed collection of information, with associated services, where the information is stored in digital formats and accessible over a network." Digital Libraries by William Arms Another definition: "A digital library is a collection of collections of electronic knowledge resources developed and maintained in order to meet the totality of information needs for a given user population." Classical Digital Library Model
3 Overview of Digital Libraries Content digitization /acquisition: Initial conversion of content from physical to digital form. The extraction or creation of metadata or indexing information describing the content Storage of digital content and metadata in an appropriate multimedia repository. Client services for the browser, including repository querying and workflow. Content delivery via file transfer or streaming media. Access through a browser or dedicated client. A private or public network.
4 The LinkSCEEM WP8/9 WP8: Integration of resources Data-management and Workflows Coordination of the provision of HPC, visualization and data storage resources on a regional scale Managing data stored on the data storage system Developing the software infrastructure linking scientific software applications and hardware resources Implementing the data management middleware software environment at regional partner sites Task 9.3 in WP9: Aims at optimization of the data management and scientific workflow application software to be deployed as described in WP8.
5 Medici in a nutshell A multimedia content management system based on: Web 2.0 interfaces Semantic web technologies (RDF) Cloud-based processing and preprocessing
6 Motivations Address research and education data collection and analytic needs Manage large collections of heterogeneous data Organize data with metadata and provenance information Facilitate collaborations and data sharing Enable curation and data preservation Support community collections of heterogeneous data (documents, images, video, sensor, modeling, etc.) Enable automated data extraction, analytic and preprocessing services on local and remote systems Provide data preview capabilities specific to different data types
7 Why Not Flickr or YouTube Maybe? Web-accessible tools are relatively generic Users like not having to manage storage Metadata, tagging, linking, etc. are effective means of organizing information (i.e., no need for folders ) Maybe not? No individual or community ownership No control of resources Inadequate privacy (e.g., for unpublished work) Limits on format, volume, throughput, resolution No domain-specific processing No provenance (everything is a stream of posts )
8 Why Medici? Provides a customizable turnkey solution to store, organize, analyze, view, share, and preserve research content Supports heterogeneous files Single file or directory upload via click-n-drag RESTful web service for batch or script based uploading Owner defined copyright and download permissions Standards based (RDF) semantic content model Conforms to open data and metadata standards Supports OPM (Open Provenance Model) Tags, comments, ratings
9 Why Medici? Supports customizable automated extraction services E.g.: Image pyramid creation, OCR for scanned text, movie frame extraction (.mpeg), file transformation, etc Leverages proven technologies Lucene indexing, MySQL, any command-line tool for extraction/analytic services Open source, public APIs
10 Medici Semantic Data Repository Web and Desktop access to a semantic content repository. web 2.0 interfaces Semantic web technologies (RDF) cloud-based processing and preprocessing
11 Client features Upload / download Search / browse Tag / comment Create collections Geo-locate data (map view) Content-type-specific previewing Define a specific taxonomy Access statistics, provenance Citable persistent URLs Set copyright and license attributes e.g., zoomable images (Seadragon), playable movies (jwplayer), rotatable 3D objects (HTML5) View only, prevent download Define dataset relationships
12 System Architecture Extraction Service Extraction Service Desktop App Web Interface Medici Webapp Extraction Service Extension Point Extension Point Extension Point Extension Point Extension Point Extension Point Tupelo RDBMS or Triple Store Note: The db, file store and extraction services can reside on a separate systems. Filestore
13 Software Architecture Medici Web Application Custom Code Medici Desktop Client Client On-demand execution of external algorithms and tools External External Tool External Tool Tools Server HTTP / Ajax HTTP / REST / URIQA Medici Web Server Medici Tupelo (RDF + Data Abstraction) External Resources RDF RDF RDF Store RDF Store Store Store File File File Store File Store Store Store Extractors Extractors Preprocessing Extractors Extractor
14 Uploading files Drag'n'Drop Upload 'Regular' Upload Scripted Upload via RESTful interface
15 Metadata Extracted information User-specified information Collections Tags Comments Location License Social Relationships
16 Web Interface - Metadata User-Specified Info License Social Extracted Info Tags Collections Accessed Location Comments
17 Automatically Extracted Information E.g. EXIF
18 User-specified Information
19 Collections and Tags
20 Relationships
21 Relationships Describes Duplicates Has Derivative Is derived from Is described by Is referenced by References Relates to...extensible!
22 License - Location - Social
23 Embedding elements in other websites
24 Extraction services Multiple, extensible pre-processing pipelines Asynchronous, distributed, triggered by upload Processing selected on basis of file content type (MIME type) Recursive (products can trigger additional extractions) Used to produce web-viewable previews Image pyramids, audio/video previews, thumbnails, pdf to plain text Used for domain-specific pre-processing, e.g., Metadata extraction (e.g., FITS headers, geolocation) Feature detection Specialized OCR for non-standard textual types (e.g., 18th-century manuscripts)
25 Medici Technologies Web application Google Web Toolkit Java Servlets Plain Javascript Viewers: Flash, Java Applet, HTML, etc. Apache Lucene Mysql Extraction Service Eclipse RCP (Java) Large collection of external applications Desktop Client Eclipse RCP (Java) Cyberintegrator Workflow Management System
26 Medici Communities Cyprus Institute (Digital Cultural Heritage) Datanet: sead.ncsa.illinois.edu Medici-demo.ncsa.illinois.edu An open public server, upload requires account InvertNet.org 3D object archive for artifacts Digitization of Biological Collections Digging into Data University of Sheffield, MATRIX Center Given a set of images of historical artefacts, discover what salient characteristics make an artist different from others using computational image analysis Enable statistical learning about individual and collective authorship.
27 Medici Communities Walker Institute Rule of Law Repository of reports, video, satellite images for the Rule-of-Law in different locations around the world 18Connect OCR of 18th century Manuscripts Institute for Computing in Humanities, Arts, and Social Science Extraction service to OCR manuscript images using Gamera OCR toolkit
28 Community Drivers Use cases and requirements driven by US Office of Naval Research (ONR) US National Archives and Records Administration (NARA) US National Endowment for the Humanities (NEH) US National Institute of Health (NIH) US National Science Foundation (NSF) Institute for Advanced Computing Applications and Technologies (IACAT) Seagrant/EPA EU LinkSCEEM-2 (Cyprus Institute)
29 Acknowledgements Institute for Advanced Computing Applications and Technologies (IACAT) UIUC Campus collaboration NIH - (Image repository) ichass - (Digging into Data, 18Connect) NSF - (InVertnet, Datanet:SEAD) EPA / Seagrant Cyprus Institute Collaboration The LinkSCEEM Project
30 Thanks!
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