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For an overview of the entity discovery portal, see the [https://www.youtube.com/watch?v=_UVBWpijaX0 demo of the Share-VDE entity discovery portal] with an introduction on the Share-VDE user experience and user interface design process; [https://bit.ly/SVDE-discovery-demo-slides supporting slides are also available].
For an overview of the entity discovery portal, see the [https://www.youtube.com/watch?v=_UVBWpijaX0 demo of the Share-VDE entity discovery portal] with an introduction on the Share-VDE user experience and user interface design process; [https://bit.ly/SVDE-discovery-demo-slides supporting slides are also available].


The SVDE '''advanced discovery interface''' harnesses the potential of linked data to offer an '''easy and intuitive user experience''' and deliver ever more wide-ranging and detailed search results to library patrons. Library catalogues of participating institutions are converted from MARC to RDF (Resource Description Framework) using the BIBFRAME vocabulary and other ontologies, through a process of '''entity identification, reconciliation, and data enrichment''' also from external sources, in order to form clusters of entities such as Person, Work etc. The network of resources created is published as linked data on SVDE platform and a common knowledge base of clusters accessible in RDF, open to the entire SVDE community, has also been compiled. '''The Cluster Knowledge Base (named Sapientia) uses the model of the Semantic Web''' while allowing participating libraries to continue handling their own data as independently as possible. In addition to inclusion in the Share-VDE database, each individual library receives their original records converted into linked data; this may be re-used according to local requirements and with no restrictions.
The technological components underlying Share Family are powered by the '''[[ShareFamily:Main Page#The Share Family technology: the LOD Platform|LOD Platform]]''', an innovative framework designed for managing bibliographic, archive, and museum catalogues and their conversion to linked data, extensible as needed for specific purposes. The LOD Platform is designed for creating '''scalable''' and configurable linked data management systems and discovery interfaces '''able to adapt to ontologies from different institutions''' from the GLAM domain. It also facilitates the creation and publication of linked open data, regardless of the source data format.
 
The Share Family infrastructure harnesses the potential of linked data to offer an '''easy and intuitive user experience''' and deliver ever more wide-ranging and detailed search results to library patrons.  
 
Participating libraries’ catalogues are converted from MARC (Machine-Readable Cataloging) to RDF (Resource Description Framework) using the BIBFRAME vocabulary and other ontologies. This conversion involves processes such as '''entity identification, reconciliation, and data enrichment''' from external sources, in order to form clusters of entities (such as Agent, Instance, Work and Opus). The resulting network of resources is published as linked data  and '''Cluster Knowledge Base named Sapientia''' is compiled to create a  common knowledge base of clusters accessible in RDF that still allows participating libraries to continue handling their own data as independently as possible. Members also receive their original records converted into linked data, which can be reused according to local requirements and with no restrictions.


The technological components underlying the SVDE infrastructure are orchestrated by the '''[https://wiki.share-vde.org/wiki/ShareFamily:Main_Page#The_Share_Family_technology:_the_LOD_Platform LOD Platform]''', that is a highly innovative technological framework, an integrated ecosystem for the management of bibliographic, archive and museum catalogues and their conversion to linked data, extensible as needed for specific purposes. The LOD Platform was designed with the idea of creating '''scalable and configurable linked data management systems and discovery interfaces''' able to adapt to ontologies from different library, archive and museum (LAM) domains, capable of automating the processes of creating and publishing linked open data, regardless of the data source format.
==Main areas of focus==
==Main areas of focus==
Building on the foundations laid by the previous project phase started in October 2016 and on continuous R&D activities carried on by ad hoc working groups, SVDE is now implementing '''production-level processes''' and additional workflows according to priorities determined by the Share-VDE community. The main areas of focus are: '''enrichment of MARC record with URIs'''; '''conversion from MARC to RDF using the BIBFRAME vocabulary''' (and other additional ontologies as needed); '''creation of a virtual discovery platform''' with an adaptation of the BIBFRAME data model developed to provide a linked data discovery option; '''creation of a database of relationships and clusters''' of entities (Sapientia Cluster Knowledge Base) accessible in RDF; implementation of '''tools for direct interaction with the data''', permitting the validation, update, long-term control and maintenance of the clusters and of the URIs identifying the entities; '''batch/automated data updating''' procedures; '''batch/automated data dissemination''' to libraries; progressive implementation of '''further use cases''' in the priority order defined by the community.
Building on the foundations laid by the previous project phase started in October 2016 and on continuous R&D activities carried on by ad hoc working groups, SVDE is now implementing '''production-level processes''' and additional workflows according to priorities determined by the Share-VDE community. The main areas of focus are: '''enrichment of MARC record with URIs'''; '''conversion from MARC to RDF using the BIBFRAME vocabulary''' (and other additional ontologies as needed); '''creation of a virtual discovery platform''' with an adaptation of the BIBFRAME data model developed to provide a linked data discovery option; '''creation of a database of relationships and clusters''' of entities (Sapientia Cluster Knowledge Base) accessible in RDF; implementation of '''tools for direct interaction with the data''', permitting the validation, update, long-term control and maintenance of the clusters and of the URIs identifying the entities; '''batch/automated data updating''' procedures; '''batch/automated data dissemination''' to libraries; progressive implementation of '''further use cases''' in the priority order defined by the community.

Revision as of 11:00, 20 June 2023



Share-VDE (SVDE) is a library-driven initiative which brings together the bibliographic catalogues and authority files of a community of libraries in a shared discovery environment based on linked data. Share-VDE expanded its scope to embrace a wider community of over thirty institutions also from the art and music domains, building the Share Family.

From September 2021, the new version Share-VDE 2.0 is live at https://svde.org with an enhanced Entity Discovery Portal and Linked Data Management System. The previous version at https://share-vde.org/ will be progressively dismissed. The load of Share-VDE libraries’ data is being done progressively while we work towards the production workflow; currently https://svde.org hosts a subset of the data of members institutions. If you want to discover the advanced functions of Share-VDE 2.0, the web portal at https://svde.org is the place to go.

The press release announcing Share-VDE 2.0 is available, along with the description of its role in linked open data for libraries outlined in the Executive Summary (the previous Share-VDE Statement 2021 with Share-VDE's explanation of position is also available). Share-VDE also adopts an Open Metadata Policy, approved by its Advisory Council.

The collaborative endeavour, based on the requirements and perceptions of libraries, is promoted by Casalini Libri, international bibliographic agency and member of the Program for Cooperative Cataloging; @Cult, provider of ILS, Discovery tools and Semantic Web solutions for the cultural heritage sector, with input and active participation from an international group of national and research libraries and influenced by the vision of the LD4P project.

After two successful research & development phases launched in 2016 and with the cooperation of the Library of Congress, Share-VDE and the Share Family are now going progressively into production connecting the catalogues of research and national libraries in the US, Canada and Europe. The collaborative initiative is potentially open to any library and is steered by the library community.


How it works

For an overview of the entity discovery portal, see the demo of the Share-VDE entity discovery portal with an introduction on the Share-VDE user experience and user interface design process; supporting slides are also available.

The technological components underlying Share Family are powered by the LOD Platform, an innovative framework designed for managing bibliographic, archive, and museum catalogues and their conversion to linked data, extensible as needed for specific purposes. The LOD Platform is designed for creating scalable and configurable linked data management systems and discovery interfaces able to adapt to ontologies from different institutions from the GLAM domain. It also facilitates the creation and publication of linked open data, regardless of the source data format.

The Share Family infrastructure harnesses the potential of linked data to offer an easy and intuitive user experience and deliver ever more wide-ranging and detailed search results to library patrons.

Participating libraries’ catalogues are converted from MARC (Machine-Readable Cataloging) to RDF (Resource Description Framework) using the BIBFRAME vocabulary and other ontologies. This conversion involves processes such as entity identification, reconciliation, and data enrichment from external sources, in order to form clusters of entities (such as Agent, Instance, Work and Opus). The resulting network of resources is published as linked data  and Cluster Knowledge Base named Sapientia is compiled to create a  common knowledge base of clusters accessible in RDF that still allows participating libraries to continue handling their own data as independently as possible. Members also receive their original records converted into linked data, which can be reused according to local requirements and with no restrictions.

Main areas of focus

Building on the foundations laid by the previous project phase started in October 2016 and on continuous R&D activities carried on by ad hoc working groups, SVDE is now implementing production-level processes and additional workflows according to priorities determined by the Share-VDE community. The main areas of focus are: enrichment of MARC record with URIs; conversion from MARC to RDF using the BIBFRAME vocabulary (and other additional ontologies as needed); creation of a virtual discovery platform with an adaptation of the BIBFRAME data model developed to provide a linked data discovery option; creation of a database of relationships and clusters of entities (Sapientia Cluster Knowledge Base) accessible in RDF; implementation of tools for direct interaction with the data, permitting the validation, update, long-term control and maintenance of the clusters and of the URIs identifying the entities; batch/automated data updating procedures; batch/automated data dissemination to libraries; progressive implementation of further use cases in the priority order defined by the community.

Benefits

The shared platform increases discoverability of resources in library catalogues, allowing end users to access a wealth of information that may be both imported and exported by participating institutions. This approach fully harnesses the potential of linked data, connecting library information to the advantage of scholars, patrons and all library users in a dynamic research environment that unlocks new ways of accessing knowledge. Among the main benefits: enrich library data with URIs and additional information previously unexpressed under MARC21; allow librarians a wider and direct interaction with and editing of bibliographic data expressed in linked data through the Cluster Knowledge Base Editor; deliver richer search results to library patrons thanks to the potential of linked data and advanced discovery interfaces; keep pace with Semantic Web applications; collaborate with the linked data for Production (LD4P) initiative and the Program for Cooperative Cataloging (PCC) on the application and understanding of linked data; follow developments relating to the original production of data in BIBFRAME format and workflows based on linked data.

The creation of more branches in the Share Family stems from the need to gather institutions with a similar scope or from the same domain in consistent groups of members sharing the same areas of focus as far as the type of bibliographic information conveyed in their library catalogue. This means, for example, that libraries specialized in the cataloging of visual materials (paintings, art works, photos etc.) can be grouped in the Share-Art branch. This approach is reflected in Share software architecture, that is based on tenants infrastructure, and in the management of library data, that are treated according to similar requirements and characteristics.

From the technical perspective this allows more efficient data management and technological sustainability. From the service perspective this means that dedicated applications that are out of scope for certain branches can be developed for other groups of institutions. From the users perspective this enables richer and specialized sets of resources to be consulted.

Info and contacts

For more information about SVDE please refer to:

Being an initiative promoted by Casalini Libri, also Share-VDE takes into account its accessibility manifesto.

For more information on how to participate in Share-VDE, browse the Share-VDE section of this wiki or contact us at info@svde.org.

To have a tour of the broader Share Family please see: