The organization of files in any desktop computer has been an issue since their inception. The file systems that are available today organize files in a strict hierarchy that facilitates their retrieval either through navigation, clicking directories and subdirectories in a tree-like structure, or searching (which allows for the finding of the desired files using a search tool). Research studies show that users rarely (4-15%) use the latter approach, thus leaving navigation as the main mechanism for retrieving files. However, navigation does not allow a user to retrieve files nonhierarchically, which makes it limited in terms of time, human effort and cognitive overload. To mitigate this issue, several Semantic File Systems (SFSs) have been periodically proposed that have made the nonhierarchical navigation of files possible by exploiting some basic semantics but no more than that. None of these systems consider aspects such as time, location, file movement, content similarity, territory, etc. together with learning from user file retrieval behaviors in identifying the desired file and accessing it in less time and with minimum human and cognitive efforts. Moreover, most of the available SFSs replace the existing file system metaphor, which is normally not acceptable to users. To mitigate these issues, this thesis proposes 360°- SFS that exploit the SFS Ontology to capture all the possible relevant file metadata and learns from user browsing behaviors to semantically retrieve the desired files both easily and timely. Based on user studies, the evaluation results show that the proposed 360°-SFS outperforms the existing traditional directory navigation and Recently Open Files.
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