[Semantic Web]Storage And Inference Layer (SAIL)

读书笔记 Lee 发表于 2006/2/24 17:35:55 SAIL is an application programming interface (API) that offers RDFspecific methods to its clients and translates these methods to calls to its specific DBMS. An important advantage of the introduction of such a separate layer is that it makes it possible to implement Sesame on top of a wide variety of repositories without changing any of Sesame's other components.   The SAIL API specifically deals with RDFS on the retrieval side: it offers methods for querying class and property subsumption, and domain and range restrictions. In contrast, both Jena and Redland focus exclusively on the RDF triple set,  leaving interpretation of these triples as an excercise to the user. In SAIL, these RDFS inferencing tasks are handled internally. The main reason for this is that there is a strong relationship between the effiency of the inferencing and the actual storage model being used. Since any particulary SAIL implementation has a complete understanding of the storage model (e.g. the database schema in the case of an RDBMS), this knowledge can be exploited to infer, for example, class subsumption more effciently.   Another difference between SAIL and other RDF APIs is that SAIL is considerably more lightweight: only four basic interfaces are pre-defined, offering basic  storage and retrieval functionality and transaction support, but not much beyond that.                            ---- from Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema

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