Semantics for Transport 2025 – Sem4Tra
輸送のためのセマンティクス2025 – Sem4Tra (AI 翻訳)
Rojas J., Colpaert P., Atemezing G., Sadeghi M., C.A. Bouter
🤖 gxceed AI 要約
日本語
本ワークショップは、モビリティおよび物流データスペースの構築を目指し、セマンティックWeb、リンクトデータ、知識グラフ技術を活用して、旅客・貨物輸送のデータ統合と相互運用性を向上させる。これにより、サプライチェーンの最適化と炭素排出削減を図る。
English
This workshop aims to advance Mobility and Logistics Data Spaces using Semantic Web, Linked Data, and Knowledge Graph techniques to improve data integration and interoperability in passenger and freight transport, thereby optimizing supply chains and reducing carbon emissions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では物流の2024年問題やカーボンニュートラル達成に向け、データ連携による輸送効率化と排出削減が重要。本ワークショップの技術は、日本の物流・モビリティ分野のGX推進に寄与する可能性がある。
In the global GX context
Globally, data spaces and semantic technologies are key enablers for sustainable supply chains and smart mobility, aligning with EU's data strategy and ISSB disclosure requirements for Scope 3 emissions.
👥 読者別の含意
🔬研究者:Semantic web and data integration methods for transport data spaces.
🏢実務担当者:Insights into data sharing standards for optimizing logistics and reducing emissions.
🏛政策担当者:Potential for data governance frameworks to support sustainable transport.
📄 Abstract(原文)
Integrated and intelligent transportation cannot be realized without a Data Space in which data flows thanks to fully automatic data integration. A Mobility Data Space improves every aspect of the passenger journey, from ticketing to navigation, from traffic to parking management, and from car/bike sharing to door-to-door travel. A Logistics Data Space should safely and securely provide all information for optimizing supply chains in terms of both saving time and reducing carbon emissions. The federated and heterogeneous nature of the logistics sector makes the application of Data Spaces and semantic technologies especially relevant. Data Space technology enables participants to regulate, in a detailed way, which participants can access parts of the data and under what conditions. Semantic technologies can provide ways to align differing meanings among logistic modalities. A Digital Product Passport/Provenance can gather all information from heterogeneous sources to give a full picture of a product’s heritage throughout its supply chain. The development of multimodal travel information, planning, and booking services, as well as interoperability between business applications, is currently limited due to the fragmentation and incompatibility of interchange formats and protocols both within and across transport sectors. This workshop seeks to advance the Mobility Data Space through Semantic Web, Linked Data, and Knowledge Graph techniques. In scope are methods to query and reason over integrated data on the web that can help an end-user plan and book a trip from A to B, as well as extract insights and share information for supply chain operations management. We target researchers and practitioners who are contributing to the transformation of passenger and freight transportation by proposing new solutions based on semantic techniques and technologies. The workshop is an opportunity to disseminate and discuss use cases and studies demonstrating the application of semantic and web technologies in the broader transportation domain to tackle the aforementioned challenges.
🔗 Provenance — このレコードを発見したソース
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