The web documents are automatically interacting to discover the information by web mining, which is one of the applications of Cloud Computing (CC) technologies. These documents may be in the form of structured, semi-structured, or unstructured formats. In current web technologies, the Semantic Web is an extension for better enabling the people and computers to work together, where the information is well defined. Before storing the data to the cloud server, data owners should encrypt their data for privacy and security concerns. At the same time, the end-user, who is finding the data related to specific keywords, suggests the research on searchable encryption technique. In this research work, fine-grained authorization of search was achieved by developing the Attribute-Based Encryption (ABE) search technique, which is under the distribution of multiple attribute authorization. Finally, to validate this approach, an experimental study is conducted on Wikipedia as an ontology with existing techniques. This research applies the Attribute based encryption and search method for the effective search and improve security in the cloud. Access policy, cipher text and secret key is developed based on the Attribute selected from the data. The Lagrange interpolation method is applied for the search process and registration key is applied to access the data. The privacy preserving efficiency of the proposed model is 99.2 % and existing Hierarchical-ABE method has 96 % efficiency.