Automated context aggregation and file annotation for PAN-based computing
Personal and Ubiquitous Computing
Efficient semantic search on DHT overlays
Journal of Parallel and Distributed Computing
Towards a semantic-aware file store
HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
OmniStore: Automating data management in a personal system comprising several portable devices
Pervasive and Mobile Computing
Managing computer files via artificial intelligence approaches
Artificial Intelligence Review
Semantic WEB service data object management
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
FARM: file annotation and retrieval on mobile devices
Personal and Ubiquitous Computing
Context-Based storage management for wearable and portable devices
ARCS'05 Proceedings of the 18th international conference on Architecture of Computing Systems conference on Systems Aspects in Organic and Pervasive Computing
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In essence, computers are tools to help us with our daily lives. CPUs are extension to our reasoning capability whereas disks are extensions to our memory. But the simple hierarchical namespace of existing file systems is inadequate in managing files today that have rich semantics. In this paper, we advocate the need for integrating semantic information into a storage system. We propose "Sedar", a deep archival file system. Sedar is one of the the firstarchival file systems that integrates semantic storage and retrieval capabilities. In addition, Sedar introduces several novel features: the notion of "semantic-hashing" to reduce the storage consumption that is robust against misalignment of documents; "virtual snapshot" of namespace, and "conceptual deletions" of files and directories. It exposes a semantic catalog that allows other semantic-based tools (e.g., visualization and statistical analysis) to be built. It uses a decentralized peer-to-peer storage utility enabling horizontal scalability.