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Ontology AI - Ontology of Things (OoT) Framework

Ontology of  Things (OoT) Framework was developed by Kolawole Quadri of Ontology AI Inc to address internet of things (IoT) challenges relating to siloed, isolated non RDF data in connected devices which lacking data quality, data re-usability and difficulty in information extraction and retrieval.

OntologyAI implemented OoT framwork to develop a semantic hydraulic systems for automatic fault diagnostics and repair recommendations using "things" in hydraulic system and huge unstructured maintenance data to tackle maintenance downtime and equipment reliability. OoT is a collection of ontology of ontolgy (OoO), an ontology based integration systems semantically linked to form a complex and sophisticated knowledge graph thereby creating a standardized semantic layer for which things on IoT and WoT can intelligently scale, sense, interact, reuse , share semantic information, from and on which informed decisions are based

Ontology of Things (OoT) presents an ontological approach implemented to automate failure troubleshooting and recommending maintenance repair using semantic web ontology language to model relationships, concepts and properties in Hydraulic system domain develop an Hydraulic System knowledge graph.  This serves as core foundation in building intelligent software agent such as recommendation engine, semantic search engine, conversation AI, Hydraulic system vocabulary, maintenance ontology library, predictive analytic anomaly detection can be extended for Industry 4.0