This document discusses a proposed system for empowering syntactic exploration based on conceptual graphs using searchable symmetric encryption. It begins with an abstract that outlines using conceptual graphs and related natural language processing techniques to perform semantic search over encrypted cloud data. It then describes the system modules, including data owners who can upload and authorize access to encrypted files, data users who can search for files, and a cloud server that stores the outsourced encrypted data and indexes. Key algorithms discussed include named entity recognition, term frequency-inverse document frequency (TF-IDF) calculation, data encryption standard (DES) encryption, and hashed message authentication codes (HMACs) to identify duplicate documents. The proposed system architecture involves data owners encrypting and outsourcing documents