Data interoperability is a prerequisite to achieve cross-community and cross-application sharing of information and knowledge. Heterogeneous data from multiple sources including semantic and non-semantic data sources (e.g. SNS data, web data, relational data, RDF, XML, CSV, etc.) have an important effect for IoT service provisioning. The data are not in a same type or format always that requires to be processed and transformed into a machine readable semantic format so that systems can understand each other to create and offer services. This paper proposes a framework that considers both semantic and non-semantic data sources to process them for data interoperability in Web Objects enabled IoT environment. WoO is a service platform that provides a resourceful infrastructure to deploy IoT services in the World Wide Web environment. For data interoperability, heterogeneous data are transformed following a semantic data schema that has been defined using a standard schema. The heterogeneous data are processed and stored in a knowledge base in RDF/OWL format.