From Data Spaces to Agent Spaces. Polleres, A., Rincon-Yanez, D., Anjomshoaa, A., Dobriy, D., & Sallinger, E. In The Fourth International Workshop on Semantics in Dataspaces (SDS 2026), co-located with ESWC, Dubrovnik, Croatia, May, 2026. to appear![From Data Spaces to Agent Spaces [pdf]](https://bibbase.org/img/filetypes/pdf.svg "pdf")
Paper abstract bibtex Data Spaces have been incorporated into Europe's Digital Strategy as an alternative, ledger-based approach to sharing data in a decentralised, self-sovereign manner. As various initiatives are establishing such Data Spaces, with the goal of building a backbone for effective data sharing, the integration with (tool-enabled) LLMs and emerging Agentic AI remains unclear. In this position paper, we outline how the core ideas of Data Spaces should be thought forward, towards Agent Spaces. We come to the conclusion that such an integration will eventually need to rely on hybrid (''bilateral'') AI approaches that combine the base idea of self-sovereign data, with (1) self-sovereign Agentic LLMs (incl.\ tools/services), building on (2) Linked Knowledge Graphs, and adding (3) symbolic guardrails that govern the interaction of agents. Indeed, we also argue how ``bilateral'' agentic and neuro-symbolic AI can potentially help us to address some thus far unresolved issues on building linked data catalogues.
@inproceedings{poll-etal-2026SDS_ESWC,
title={From Data Spaces to Agent Spaces},
booktitle = {The Fourth International Workshop on Semantics in Dataspaces (SDS 2026), co-located with ESWC},
author = {Axel Polleres and Diego Rincon-Yanez and Amin Anjomshoaa and Daniel Dobriy and Emanuel Sallinger},
abstract = {Data Spaces have been incorporated into Europe's Digital Strategy as an alternative, ledger-based approach to sharing data in a decentralised, self-sovereign manner. As various initiatives are establishing such Data Spaces, with the goal of building a backbone for effective data sharing, the integration with (tool-enabled) LLMs and emerging Agentic AI remains unclear. In this position paper, we outline how the core ideas of Data Spaces should be thought forward, towards Agent Spaces. We come to the conclusion that such an integration will eventually need to rely on hybrid (''bilateral'') AI approaches that combine the base idea of self-sovereign data, with (1) self-sovereign Agentic LLMs (incl.\ tools/services), building on (2) Linked Knowledge Graphs, and adding (3) symbolic guardrails that govern the interaction of agents. Indeed, we also argue how ``bilateral'' agentic and neuro-symbolic AI can potentially help us to address some thus far unresolved issues on building linked data catalogues.},
year = 2026,
month = may,
day = 10,
note={to appear},
address = {Dubrovnik, Croatia},
url={http://polleres.net/publications/poll-etal-2026SDS_ESWC_Agent_Spaces.pdf},
}
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