The Aesop Approach for Semantic-Based End-User Service Optimization

Correlation-Based Feature Mapping of Crowdsourced LTE Data

“…They have applied inference rules that combine human-defined ontological knowledge and monitored network events in order to infer configurations for the network, such as prioritizing certain users or allocating bandwidth for certain applications. Fallon et al [47,46] have presented applications to automatically optimize end-user service delivery in home area and telecommunication networks. The authors have implemented MAPE-K control loop for the optimization task and they use ontologies and semantic reasoning to infer information related to end-user context, provided services, and service operations.…”

“…In a wider picture, semantic inference use cases in the wireless network research have been studied for service discovery [79,8], selection [6], recommendation [40] and priority definition [47]. In CONTRIB1.1, request-operation mapping tasks differ from the previously presented papers by not only discovering services (analogical to SON functions) but also providing a detailed description of how requests may include a set of sub-requests and how the service discovery mechanism infers and composes a set of services that fulfil a complex request.…”

“…With respect to CONTRIB1.2, semantic inference of metric dependencies is not explicitly presented in the wireless network research. Some works infer knowledge from measurement data [132,136,47], but no inference rules or descriptions of reasoning about metric dependencies are mentioned. Generally, there have been efforts to define metric ontologies including correlations, aggregations, and hierarchies among metrics [115,42,41,107].…”

Formal Ontologies Meet Industry

“…By mapping different models into a joint ontology, the resulting knowledge base can be used as the Knowledge component in an autonomic management system that implements the MAPE-K paradigm (Monitor, Analyze, Plan, Execute, Knowledge [IBM06]). An autonomic management system with an ontology-based knowledge component is presented by Fallon and O'Sullivan in [FO14], where it is used to optimize end-user service experience. An autonomic management system with an ontology-based knowledge component is presented by Fallon and O'Sullivan in [FO14], where it is used to optimize end-user service experience.…”

Towards composite semantic reasoning for realtime network management data enrichment

“…In [1] we demonstrate the use of semantic information processing to assess the Quality of Experience (QoE) for individual users using over-the-top (OTT) services hosted by a managed network. Semantic modelling allows the structure, meaning and references to models to be captured using ontologies [2], which can then be executed.…”