TORA is a historical geographic register provided by the Swedish National Archives (Riksarkivet). TORA serves as a cloud service to be used as an authority file, a historical GIS and a gazetteer for historical places and divisions in Sweden. The core concept of TORA is Historical Settlement Unit such as a village, hamlet, single farm, manor or town. Their spatial position is defined by latitude and longitude coordinates, that are set on the basis of historical large-scale maps from the 17th century and later. So far, 24 000 units have been registered, which covers about half of all settlements that existed in Sweden during the Middle Ages until the early modern period c. 1800 (of which many still exist today).

Data in the life sciences are growing at an exponential rate. The semantic web technologies which were initially thought up before the "Big Data" era, have not always been optimal for handling really large data sets. Based on our experience, the situation can improve with the right approach, and some promising new developments to better merge the worlds of semantic and big data.

In an era of ubiquitous electronic collection of data, there is growing opportunity to monitor the health of populations in real-time. Enabling computers to transform data into actionable information allows us to advance towards a framework of data-driven surveillance, however comprehensive reviews in the field have pointed out the hindrances to integration and interoperability among systems using different data sources.

We have established a collaboration of health providers, surveillance experts and ontology experts to develop the Animal Health Surveillance Ontology (AHSO). The ontology is developed as interoperable modules, expanding to include modules focused in different data types. Discussion forums have been set up to organize working groups around data sources types, such as abattoir, clinical and laboratory. The growing number of biomedical ontologies and open access tools for ontology construction allows reuse of both knowledge and modeling solutions. The methodology proposed is problem-oriented, collaborative, and promotes community involvement.

By promoting efficient translation of animal health data into surveillance information, AHSO will maximize knowledge sharing and interoperability among data-driven surveillance systems, and increase the sensitivity an timeliness of systems for early disease detection.

Effective and efficient information management practices, using open standards, models and linked-data to bridge enterprise-linked-data, and build a smart master data backbone for the municipality of Gothenburg. The project #kvalitetsäkrad_information (quality assured information) focus on four main entities: people, organisation, place and service derived from the the EU interoperability program ISA2.

Demonstration of the pilot, elaboration on challenges with legacy data and integration tooling to get things into the graph. Balance act between local and national reference data etc.

RealEstateCore is the common language that will enable control over building and development of new services – the enabler of the promises of the digital transformation. A domain ontology preparing the buildings to interact with the Smart City.

The RealEstateCore focuses on merging and bridging three domains:

1. Digital representation of the building’s elements (e.g. BIM)
2. Control and operation of the building (e.g. Haystack, Ashrae standards)
3. Emerging IoT technologies (e.g. SSN, WoT, IPSO)

RealEstateCore is not a new standard. RealEstateCore uses and maps present standards in a pragmatic manner – a minimum viable design.

Openness – Share the knowledge in order to scale A consortium has been formed with Klipsk AB, Vasakronan AB, Akademiska Hus AB, and Willhem AB to develop the RealEstateCore.

City council have decided an IT-policy that highlight open data as important. There are many possibilities that can be realized by making data open by default. Uppsala haven’t yet published any linked open data (LOD) but understand the potential by doing so and there are planes to be realized in the open data roadmap. The prestation will cover challenges related to the work with open data and the agile approach to overcome difficulties.

Examples will be given on data set candidates that are of high relevance to make available as LOD and a call for other dedicated cities to join the movement in a collaborative manner.

Handling RDF has been traditionally a task for server side applications, such as triple stores, D2R, reasoners, etc. However, with the Linked Data explosion more and more client side applications are working with RDF directly in the browser. The RDForms library are aimed to be used by such applications as it provides support for editing, presenting and validating RDF graphs in HTML forms.

In this talk, I will be presenting a first iteration on extending RDForms to be able to present data about a single resource originating from multiple sources. The example case provided will be based on enriching data about the works and relations of the famous painter Leonardo da Vinci.

Abstract:

Research dissemination has entered a Cambrian explosion of experimentation with new journal formats, new forms of peer review, overlay journals, and many other innovations. All these projects are united in striving to make research more open and accessible. But the gap between open science principles, such as FAIR (Findable, Accessible, Interoperable, and Re-usable), and the formats and APIs used in practise, while closing, is still large. In this talk, we briefly outline the competing approaches to how Linked Data can close this gap.

Speaker bio:

At the Institute for Molecular Medicine Finland (FIMM), Myles has integrated software development and science. He wrote the first version of Kardiokompassi, the first heart-disease risk calculator incorporating genetic risk scores. He redesigned and recoded the Finnish Disease Database, FinDis.org, and helped create VarioML and Observ-OM, two data specifications used for describing variation data. He helped design and build the software for the Digital Health Revolution project. In the GEN2PHEN project, he designed a 'GitHub for Science'. He is currently starting to pilot a prototype peer-to-peer scholarly communications platform.

In this talk, we will start with a simple API built only with RDF & HTTP to discover what are the needs of a typical enterprise Linked Data service. We will then do a quick overview of the available standards for managing RDF resource collections, discovery, authentication, resource validation, change tracking, and search. Finally, we will demonstrate an integration between Atlassian Jira and Siemens Polarion based on Open Services for Lifecycle Collaboration (OSLC), a Linked Data standard for enterprise system integration.

Examples of topics for the open discussion:

• How can we encourage the new Digitization Agency to push in the direction of Linked Data?
• Reuse, expand, or invent your own schema. How does the choice you make connect to the strengths of linked data?
• Should you store your data as linked data, keep a synchronized triplestore or transform on request?

Questions to the audience

• Was the format of this years symposium suitable, should we focus on something else for next year?
• Webpage for LDSV
• Where will LDSV 2019 be hosted?
• How to keep the community alive and visible in Sweden?

Concluding remarks

• Social event