Cyber forensics analysts gather data from many open-source cybersecurity data sources in order to complete their forensics tasks. Manually searching across multiple data sources, pulling key data from sources, and making links between data poses many challenges for cyber forensics professionals. A linked-data model of open-source cybersecurity data sources can streamline the search, extraction and linking processes allowing cyber forensics professionals to more rapidly complete their work. The linked-data model is based on sematic-web technologies including ontologies, semantic search and inference engines. In this project we are using an Ontology. This rigorous work introduces the use of Protégé, an open-source ontology editor and framework for building intelligent systems. By using Protégé to create an ontology the results of forensic task can be put to one place like in traditional databases such as graphDB but furthermore it allows to automatically draw conclusions about the correlation of the single results.