MAKING THE NETWORK OF WWII COLLECTIONS SEARCHABLE
Keeping the memory of the Second World War alive and further increasing the collective knowledge on it is a responsibility shared by numerous heritage institutions worldwide. The Dutch Network War Collections (in Dutch: Netwerk Oorlogsbronnen (NOB)) contributes to this by connecting the dispersed Dutch collections on WWII and by making the resulting network accessible and searchable via its websites.
When Lizzy joined the NOB as its ICT project leader, users of the portal site were able to access 12 collections using a conventional search engine. However, these collections had not been interconnected, so no network effect could occur, no new insights emerged. Moreover, the NOB had to depend on a third party for every single new collection to add while the goal was to connect hundreds of collections.
After struggling with this setup for some time, Lizzy decided to completely change it and to look for a partner that could enable her to easily add new collections herself, to interconnect and enrich these collections and present them in novel ways. Lizzy knew Spinque from her previous job at the Rijksmuseum and decided to team up with Spinque because of the easy way they enable clients to add, store and access their data.
Since the new setup of the project, Lizzy and the NOB team have added over 100 new collections and because of Spinque’s inherent data integration, they are now interconnected.
On top of that, the NOB has been able to initiate multiple projects using the same repository. Besides the collections-portal Oorlogsbronnen.nl it built a site focussed on personal histories called Oorlogslevens.nl, which was released on the 11th of February 2020. Currently it is also working on events during the war: at this time as part of the portal, but in the future a site focussed exclusively on events might follow.
Spinque Desk puts Lizzy in charge of her search, enables her to focus on adding and interconnecting collections and on making the Dutch Network War Collections grow.
I’m now able to add new collections myself and I have a lot of control over the data. I use Spinque Desk to search and connect collections and to get answers to a lot of questions.
BEHIND THE SCREENS
The starting point of the NOB is a set of isolated collections from member organizations. These collections contain various types of objects such as photographs, articles, books, audiovisual material, archives etc. and describe them in different ways. To make these collections searchable as one Lizzy and her colleagues first use Spinque Data virtualization to model them as Linked Data.
Besides the collections the NOB maintains domain knowledge about WWII in the form of thesauri. These describe persons, places, concepts, organizations and events related to WWII. The NOB uses Spinque Desk to link the data from the various collections to the entities of these thesauri. Together this results in a knowledge graph as depicted to the right.
The NOB uses search functionality in multiple places on their website. The screenshot shows the main search result page as an example. This page provides functionality to search in all the objects which is triggered when a user submits query terms in the search field, in this case ‘bunkerdrama’. For the same query terms the application checks for a relevant knowledge concept.
The main part of the screen shows the objects that are relevant to the search term and the right part shows the ‘bunkerdrama’ knowledge concept with a description and related content. The main search functionality and the concept search functionality as well as other search and browsing functionalities on the website, are provided as API endpoints powered by Spinque Desk.
The API endpoints used by the website are implemented as so-called search strategies in Spinque Desk. The strategy of the main search functionality is depicted to the right. A strategy consists of building blocks that each provide an operation on the knowledge graph. Together the blocks determine which objects in the knowledge graph are considered as possible results and which of these are relevant.
The strategy used for the main search functionality of the website defines how different types of objects from the heterogeneous knowledge graph are considered as results, such as photographs, articles, books, audiovisual material, archives, etc.
The second screenshot depicts the strategy that implements the search functionality to find a relevant knowledge concept. A challenge for this strategy is not only to find a candidate result, but also to determine if the result is relevant enough to present to the user. In the case of the ‘bunkerdrama’ a relevant event was found in the knowledge graph. For other terms no relevant concepts might be found or concepts that are found might be deemed not relevant enough. In both cases no concept is presented.
WHAT WE CAN DO FOR YOU
In this project the data from the member organizations of the NOB was integrated by modelling the entities and concepts as Linked Data and by linking them to the entities in the NOB thesauri. Spinque Desk was subsequently used to retrieve entities and concepts from the resulting knowledge graph and to present them in various ways.
What entities and concepts would you like your users to retrieve from the data in your domain? Let us know, we are happy to think along!