D3.4 Collection of APIs to External Applications
| dc.contributor.author | Gelecek, Atakan | |
| dc.contributor.author | Karagöz, Pınar | |
| dc.contributor.author | Hachinger, Stephan | |
| dc.contributor.author | Číž, David | |
| dc.contributor.author | Golasowski, Martin | |
| dc.contributor.author | Hurych, David | |
| dc.contributor.author | Öztürk, Aslı Umay | |
| dc.contributor.author | Sever, Yiğit | |
| dc.contributor.referee | Furmánek, Radek | |
| dc.contributor.referee | Ponimatkin, Georgy | |
| dc.date.accessioned | 2026-05-26T08:09:52Z | |
| dc.date.available | 2026-05-26T08:09:52Z | |
| dc.date.issued | 2026-04-30 | |
| dc.description.abstract | This deliverable presents the collection of Application Programming Interfaces (APIs) integrated by the EXA4MIND project to enable interaction between the platform and external applications. The document describes the APIs that expose the core services of the EXA4MIND ecosystem, including AI inference capabilities, workflow orchestration, distributed data processing, database access, and supporting infrastructure services. The APIs provide standardized and infrastructure-agnostic access – in particular to the Advanced Querying and Indexing System (AQIS), which acts as the central analytics engine of the platform. Through these interfaces, external applications can trigger analytics workflows, execute machine learning inference tasks, access heterogeneous data storage systems, and integrate with distributed computing environments. The deliverable also briefly describes APIs developed in other work packages, including data ingestion pipelines, semantic search services, and domainspecific analytics applications such as the Aquaview soil moisture analysis system. Together, these APIs form a coherent integration layer that enables scalable data processing, advanced analytics, and interoperability across the EXA4MIND platform. The documented interfaces demonstrate how external tools and applications can utilise the platform’s capabilities for large-scale data analysis and AI-driven workflows. | |
| dc.description.placeofpublication | Ostrava | |
| dc.format | 29 listů : ilustrace | |
| dc.identifier.uri | http://hdl.handle.net/10084/158700 | |
| dc.language.iso | en | |
| dc.rights | Attribution-NoDerivatives 4.0 International | |
| dc.rights.access | openAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | |
| dc.subject | APIs | |
| dc.subject | AQIS | |
| dc.subject | Distributed Data Processing | |
| dc.subject | AI Inference Services | |
| dc.subject | Workflow Orchestration | |
| dc.subject | Data Analytics | |
| dc.title | D3.4 Collection of APIs to External Applications | |
| dc.type | report | |
| dc.type.version | submittedVersion | |
| local.files.count | 1 | |
| local.files.size | 4254178 | |
| local.has.files | yes |
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