In this video we explain the work done on the Paperless Bulk Transport use case. This explainer video is created as part of the Living Labs of the Centre of Excellence for Data Sharing and Cloud (CoE-DSC).

Both the construction and logistics sector have identified the paperless bulk transport use case as a shared problem. Therefore a collaboration is set up between Ketenstandaard, SUTC and TNO, supported by Transport & Logistiek Nederland, Bouwend Nederland and Topsector Logistiek. Both the construction and logistics sector have their own agreements on information exchange and developed their own standards for different scenarios, but in this specific case it must be investigated whether the existing sector standards also accommodate for exchange of bulk transport information. More specifically: how can the reuse of existing data models accelerate the digitalization of bulk transport information exchange?

During the use case the Wizard functionality of Semantic Treehouse was used to create application profiles reusing existing standards such as the Open Trip Model.

JSON Validator​

We’re excited to share that our new JSON validator is ready to use! This new validator helps you validate your JSON messages against the agreed schemas in your ecosystem.

With more and more ecosystems relying on JSON to share data, it became essential for us to have a JSON validator in addition to our XML validator. So, we teamed up with a group of students from the University of Groningen, and together we created a first version of this validator.

About our workshop​

From September 17-19, 2024, we attended the SEMANTICS-2024 conference in Amsterdam, where we delivered a half-day tutorial about semantics in data spaces.

The workshop provided a practical perspective on the role of semantics in data spaces, based on the current challenges we face in practice. We talked about:

• Data spaces and the role of a vocabulary hub,
• How to established semantic interoperability in a data sharing community setting,
• How the bridge the gap between the two paradigms for interoperability: Linked Data based interoperability and (EDI) message based interoperability.

Moreover, we shared future challenges that are currently work in progress for the Semantic Treehouse team:

• How to support the reuse and diversity of existing data models and formats across data spaces?
• How to reduce the amount of manual labour in developing and mapping semantic standards?
• How to integrate semantic web technologies into data space architectures?
• How to improve data quality and the quality of data models?

A key highlight was the hands-on experience for the audience. Within 45 minutes, participants created their own standards using our new demo environment. Want to know more? Please get in touch!

Thanks to SEMANTICS for the opportunity to connect and learn from the community!

Read More​

• Download the presentation slides
• Check our demo environment

About the talk​

In this second IDSA Tech Talk on semantic interoperability in data spaces we shared our view and lessons learned on the role of Application profiles in specifying semantics for data spaces. Thank you IDSA for the opportunity to share and learn from the data spaces community.

View online​

Read more​

• Download the presentation slides
• Last years IDSA Tech Talk on Semantic Interoperability

Semantics in Data Spaces: Semantic Treehouse as Vocabulary Hub​

From September 17-19, 2024, SEMANTICS 2024 will be held in Amsterdam. At this conference, we will have the opportunity to present a tutorial on Semantics in Data Spaces. Our session will focus on Semantic Treehouse as a vocabulary hub. This tutorial offers a practical perspective on semantics in data spaces and presents the open challenges in an interactive manner. It includes an introduction to data spaces and the role of a vocabulary hub in data spaces, based on the current knowledge from the Data Spaces Support Centre.

For more information, to register, and to view the planned agenda for the tutorial, please see below or visit the following link: Register here.

Abstract​

Data sharing accelerates innovations within and across sectors, leading to the development of new solutions. For a growing number of companies, this turns data into a strategic asset over which they want to maintain control. The European strategy for data aims to create common European data spaces to ensure Europe’s global competitiveness and data sovereignty. Data spaces are distributed systems designed to facilitate secure and trustworthy data exchanges between participants, emphasizing trust and data sovereignty. One of the crucial aspect in making this happen is semantics, which enables consistent and unambiguous data sharing between participants of a data space. Achieving semantic interoperability is a continuous balancing act between maintaining strict uniformity for consistent and easily understandable data, and accommodating the diverse requirements of different data space participants.

This tutorial offers practical insights into shaping semantics within data spaces, with TNO’s Semantic Treehouse as so-called vocabulary hub as an important means. The tutorial highlights the challenges and presents solutions for achieving semantic interoperability in the context of data spaces.

Semantic Treehouse is designed to maximize the reuse of common vocabularies (semantic standards) to ensure a shared understanding of the data. These vocabularies are assumed to be created through open standardization, meaning that they're created 'by the users, for the users'. Open standardization justifies what is essentially a top-down approach to interoperability: as soon as the standard is done, it is published in a central place and users are expected to comply by aligning their data to it.

However, there are various situations that would benefit from a more 'bottom-up' approach, i.e. where the information flow is reversed. Instead of Semantic Treehouse providing information on what vocabulary to use, users provide information on the usage of their data. This need arises in situation where, for example, there's only a loosely defined community where standards are not yet formed. Or when typical users don't have the resources or knowledge to work with semantic standards and make alignments. To overcome this hurdle, Semantic Treehouse has developed a new functionality that allows users to create an initial vocabulary based on their own sample data.

Sharing data across different sectors holds tremendous value. For example, to achieve EU climate goals, the exchange of carbon footprint data across various sectors is of great importance. Therefore, connecting different data sharing communities in these sectors is essential. However, sharing data across different sectors comes with challenges, as each sector develops its own vocabularies and tools. These vocabularies are not accessible across different sectors, and consequently, thus not being used in other sectors. To brigde this gap, a standardized solution is needed to exchange vocabularies across data sharing communities, enhancing the discoverability of vocabularies across different sectors.

Semantic Treehouse has a new front-end! At the end of November we rolled out the new front-end version 3 for all Semantic Treehouse environments. Although it is still a beta version (v3.0.0-beta), the new front-end fully covers all views from the previous environment and has been extensively tested so that using it is an immediate improvement.

Besides a new look and feel, many more improvements have been made in the new Semantic Treehouse front-end:

This blog post will address how Semantic Treehouse supported the needs of a data sharing community in creating a new standard. Among the dedicated users of Semantic Treehouse is the SETU foundation, the organization for data standardization of the flexible staffing industry in the Netherlands. Recently, SETU developed the Planning and Scheduling standard, enabling seamless data exchange of planning information between staffing suppliers back-office software, planning tools, and interconnecting planning tools.

For this Planning and Schedulling standard, there was a desire to repurpose HR Open specification whenever feasible. This involved creating multiple message models by carefully selecting elements from the HR Open Model in JSON Schema and incorporating SETU specific additions and restrictions. Furthermore, SETU's goal was also to create schemas in both JSON and XML formats, along with Open API specifications for seamless implementation and validation. The following text highlights how Semantic Treehouse supported the SETU foundation in reaching their goals.

Domain-specific vocabularies are crucial for accurate and consistent data interpretation by different individuals and systems. These vocabularies provide a shared conceptualization of knowledge within a particular domain. We observe the emergence of these vocabularies in diverse formats such as Smart Data Models, HR Open and Open Trip Model, which express their vocabularies in JSON or XML schemas.