Knowledge graphs encode semantics that describes resources in terms of several aspects, e.g., neighbors, class hierarchies, or node degrees. Assessing relatedness knowledge graph entities is crucial for data-driven tasks, ranking, clustering, link discovery. However, existing similarity measures consider aspects isolation when determining entity relatedness. We address the problem assessment between entities, and devise GADES. GADES relies on aspect similarities computes a measure as...

Bund und Lander haben den Verein Nationale Forschungsdateninfrastruktur (NFDI) e. V. gegrundet, um ein systematisches nachhaltiges Forschungsdatenmanagement in Deutschland zu fordern. Im vernetzen sich bis 30 Konsortien, die mit ihren Mitgliedsorganisationen Wissenschaftslandschaft abbilden. Gemeinsam erarbeiten diese im Datenstandards nach FAIR Prinzipien weitere Losungen rund das disziplinenubergreifende Forschungsdatenmanagement. In diesem Artikel stellt Direktorat Aufbau Ziele des neu...

Research on environmental justice comprises health and well-being aspects, as well topics related to general social participation. In this research field, among others, there is a need for an integrated use of science survey data spatial data, e.g. combining demographic information from with pollution data. However, researchers it challenging link both sources, because (1) the interdisciplinary nature sources different, (2) underlie different legal restrictions, in particular regarding...

The concept of a "Research Data Commons" (RDC) established itself as an infrastructure ecosystem for science based on open standards and federated resources to facilitate the sharing research data services. consortia German National Research Infrastructure (NFDI) have identified collaborative provisioning services be key importance functioning efficient RDC are leveraging different corresponding measures establish sustainable in line with international developments.

Growth of multimodal content on the web and social media has generated abundant weakly aligned image-sentence pairs. However, it is hard to interpret them directly due intrinsic intension. In this paper, we aim annotate such pairs with connotations as labels capture We achieve a connotation embedding model (CMEM) using novel loss function. It's unique characteristics over previous models include: (i) exploitation data opposed only visual information, (ii) robustness outlier in multi-label...

Stream processing has emerged as the major paradigm to tackle digital information flood. Within stream processing, complex event (CEP) represents a pattern-based approach that enables automated situation detection and real-time monitoring. One deficit of CEP applications is negligence evolution situations, only two states are differentiated with regard occurrence situations: detected not detected. This behavior might lead critical situations due decreased comprehensibility for operators. On...

The past few years have been marked by an increased use of sensor technologies, abundant availability mobile devices, and growing popularity wearables, which enable the direct integration their data as part rich client applications. Despite potential added value that such aggregate applications bring, implementations are usually custom solutions for particular cases do not support easy further devices. To this end, vision Web Things (WoT) is to leverage standards in order interconnect all...