Cultural Heritage (CH) (In the context of this paper, we consider cultural heritage built tangible cultural heritage, such as buildings or monuments.) is an important source of identity for humankind and needs to be conserved for future generations. Climate change (CC) will morph the environmental landscape, thus leading to climate stress imposed on CH. Experts from different domains, including, but not limited to, material scientists, conservators and managers of cultural heritage collaborate to find out how CC affects CH and how potentially harmful impacts can be mitigated. To find and understand correlations and effects of different factors, researchers collect and analyse vast amounts of data. Still, experts often cannot exchange or make efficient use of data since it often is unstructured, incompatible, or its plain existence is simply unknown. This article introduces means to achieve consent about available knowledge, to exploit synergy effects through the combination of available information and to provide a flexible multisource information platform in collaborative cultural heritage management projects. In the context of the European project HERACLES (HERACLES—HEritage Resilience Against CLimate Events on Site. Further information: http://www.heracles-project.eu/), an application-ontology was developed. The ontology facilitates reuse and integration of data through structuring and representing its semantics. The involvement in the HERACLES project guaranteed end-user driven development, practical results and encompassment of all domains represented in the project.

In light of urbanization, climate change, and the escalation of extreme weather events, flood management is becoming more and more important. Improving community resilience and reducing flood risks require prompt decision-making and effective communication. This study investigates how flood management systems can incorporate Large Language Models (LLMs), especially those that use Retrieval-Augmented Generation (RAG) architectures. We suggest a multimodal framework that uses a Flood Knowledge Graph to aggregate data from various sources, such as social media, hydrological, and meteorological inputs. Although LLMs have the potential to be transformative, we also address important drawbacks like governance issues, hallucination risks, and a lack of physical modeling capabilities. When compared to text-only LLMs, the RAG system significantly improves the reliability of flood-related decision support by reducing factual inconsistency rates by more than 75%. Our suggested architecture includes expert validation and security layers to guarantee dependable, useful results, like flood-constrained evacuation route planning. In areas that are vulnerable to flooding, this strategy seeks to strengthen warning systems, enhance information sharing, and build resilient communities.

Crisis management is a challenging and interdisciplinary task in which various information must be acquired and fused. In Germany, Civil Crisis Management is usually organized into two parts: the organizational‐administrative division and the operative‐tactical division, which are subordinate to the authorities (political) leadership. To organize an efficient and interdisciplinary response, crisis staffs can be called up. In these administrative crisis staffs, information sources are bundled, responsible experts collaborate and exchange information. To achieve a common understanding of the crisis, situational displays are created. Situational displays present the extend of the crisis and offer high‐level information required by the staff members. They can show the extent of the crisis area on maps or integrate other, for example numeric, information. This paper presents both state of the art in situational display creation and the most recent requirements in administrative crisis management. Data were collected through structured questionnaires and workshops regarding the tools for the creation of situational displays. For both data gathering methods, we were able to acquire active crisis management experts as participants. To determine the state of the art for situational displays for administrative crisis management staff we utilized structured questionnaires, which were answered by 14 crisis management authorities. Through two expert workshops with each nine participants, the requirements for situational display were collected. This paper compares the two datasets to evaluate the recent state of situational displays for administrative crisis staff in practice. The article summarizes usage of situational displays by practitioners and compiles lessons from the field.

Protecting and preserving cultural heritage (CH) in view of global climate change is the main objective of the KERES project. For managing climate impact with proper measurements, including prevention and responsive actions, an ontology has been devised in the course of this project in close cooperation with relevant stakeholders of selected CH assets that serve us as case studies. In particular, the ontology supports modeling specific CH assets with respect to the challenges of climate change. It turns out the main challenge is to subsume the diversity of models and processes specific to individual assets on a proper level of abstraction. Based on the ontology, we succeeded in creating software that assists stakeholders in managing their CH challenges, including an interactive app for suggesting preventative measurements and a web application for creating route cards that are used by emergency service professionals in the case of rescuing cultural assets. We are confident that our methodology of CH assets abstraction and modeling will be applicable to a broader range of CH assets.

Industrial Internet of Things (IIoT) applications are being used more and more frequently. Data collected by various sensors can be used to provide innovative digital services supporting increasing efficiency or cost reduction. The implementation of such applications requires the integration and analysis of heterogeneous data coming from a broad variety of sensors. To support these steps, this paper introduces OPAL, a software toolbox consolidating several software components for the semantically annotated integration and analysis of IoT-data. Data storage is realized in a standardized and INSPIRE-compliant way utilizing the SensorThings API. Supporting a broad variety of use cases, OPAL provides several import adapters to access data sources with various protocols (e.g., the OPC UA protocol, which is often used in industrial environments). In addition, a unified management and execution environment, called PERMA, is introduced to allow the programming language independent integration of algorithms.

Civil protection authorities in Baden-Württemberg, Germany, have long relied on a fragmented landscape of databases and spreadsheets to manage their vehicle and equipment inventories. This heterogeneous data environment prevents cross-organizational analysis, impedes situational awareness during crises, and makes compliance reporting against the state's administrative regulation on disaster control services a labor-intensive manual process. Despite the operational significance of this challenge, no German state currently operates a centralized, IT-supported system for civil protection vehicle management. We present ZIFA (Zentrales Informationssystem für Fahrzeuge und Ausstattungen des Katastrophenschutzes), a GIS-enabled web application developed as a new module within the established Elektronische Lagedarstellung für den Bevölkerungsschutz (ELD-BS) ecosystem. ZIFA provides unified inventory management, map-based visualization, lifecycle management, cost tracking, and automated target/actual comparison across all administrative levels. The system was developed through a participatory co-design process involving the Ministry of the Interior, Digitalisation and Local Government, all four Regional Councils, and selected district authorities and relief organizations. We describe ZIFA's architecture using the five viewpoints of the Reference Model of Open Distributed Processing (RM-ODP) framework and contextualize its functionality through two analytical lenses: the crisis management cycle (prevention, preparedness, response, recovery) and the administrative hierarchy (state, regional, district, local). Implementation is complete and the system is currently undergoing its second testing phase, fully integrated within the ELD-BS environment. We discuss lessons learned from the participatory design process, current limitations, and the transferability of key design elements to other German states and international contexts.