TY - CONF A1 - Schiendorfer, Alexander A1 - Wautelet, Yves A1 - Reif, Wolfgang A2 - Loiseau, Stephane A2 - Filipe, Joaquim A2 - Duval, Béatrice A2 - van den Herik, Jaap T1 - Modeling Hierarchical Resources Within a Unified Ontology BT - Proceedings of the International Conference on Agents and Artificial Intelligence T2 - A Position Paper N2 - Resource-Intensive Software Ecosystems (RISE) can mainly be found in production management but also in virtually any socio-technical environment. RISE appear prominently in the form of smart grids or cloud environments where optimizing resource utilization and allocation becomes the most important aspect for competitive service provision. In such a context, the need for unified ontologies supported by adaptive software (i.e., software able to learn from and act on its environment) is highly attractive. Indeed, resources are mostly not monolithic entities but active and collaborative agents often organized in a hierarchical manner. A hierarchy implies multiple levels of abstraction leading to resource allocation on different levels of organization -- with abstractions being relevant for both inter- and intra-organization resource management. Once adequately defined, the use of constraint-based optimization algorithms on those multiple levels can provide efficient resource allocation. We apply, in this paper, ontological elements to model resources in a unified manner on multiple levels onto an example taken from distributed energy management. Then we present algorithmic ideas to organize the hierarchy of these resources. Y1 - 2015 UR - https://opus4.kobv.de/opus4-haw/frontdoor/index/index/docId/4244 UR - https://doi.org/10.5220/0005289006140619 UR - https://nbn-resolving.org/urn:nbn:de:bvb:573-42448 SN - 978-989-758-074-1 SP - 614 EP - 619 PB - SciTePress CY - Setúbal ER -