Interfacing thought: cognitive aspects of human-computer interaction
Haystack: per-user information environments
Proceedings of the eighth international conference on Information and knowledge management
Extending document management systems with user-specific active properties
ACM Transactions on Information Systems (TOIS)
MyLifeBits: fulfilling the Memex vision
Proceedings of the tenth ACM international conference on Multimedia
Storage and Querying of E-Commerce Data
Proceedings of the 27th International Conference on Very Large Data Bases
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Semantic storage: a report on performance and flexibility
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
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Desktop search tools are becoming more popular; they allow full text searches using inverted indexes. Yet, the amount of locally stored data that they have to deal with is increasing rapidly. A different approach is to analyze the semantic relationships among collected data and thus preprocess the data semantically. The goal is to allow searches based on relationships among various objects rather than focusing on objects' names. This would allow for searches far more sophisticated than those based on full text analysis. We introduce a database architecture based on an existing software prototype that is capable of meeting the various demands of a semantic information manager. This architecture is also capable of storing and querying RDF and RDF schemata. Moreover, RDF is used as a key part of the technology. Therefore, in this scenario, RDF is used not only to enrich the Web with machine-processable semantics, but also to incorporate it into a kind of Semantic Desktop Search Engine. In this paper, we describe the underlying technology of this research project.