sTuples: Semantic Tuple Spaces
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Deepali Khushraj, Ora Lassila, Timothy W. Finin
Timothy W. Finin, Chiara Ghidini, Tom La Porta, Chiara Petrioli (a cura di)
“1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous'04)”, pp. 268-277
22-26 August 2004
Tuple Spaces offer a coordination infrastructure for communication between autonomous entities by providing a logically shared memory along with data persistence, transactional security as well as temporal and spatial decoupling — properties that make it desirable in distributed systems for e-commerce and pervasive computing applications. In most Tuple Space implementations, tuples are retrieved by employing type-value matching of ordered tuples, object-based polymorphic matching, or XML-style pattern matching. In a heterogeneous environment, this can pose several limitations. This paper discusses the architecture and implementation of a prototype semantic infrastructure, which uses Semantic Web technologies to represent and retrieve tuples from a Tuple Space. Semantic Tuple Spaces (sTuples) overcomes limitations of the JavaSpaces Tuple Space implementation, by making use of a web ontology language and RACER, a description-logic reasoning engine. The sTuples infrastructure extends and integrates with Vigil, a secure framework for communication and access of intelligent services in a pervasive environment. Specialized agents, such as the tuple-recommender agent, task-execution agent and publish-subscribe agent, which have a better understanding of the environment, reside on the Tuple Space and play an important role in providing user-centric reasoning. |
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Pubblicazione
— autori/autrici
Deepali Khushraj, Ora Lassila, Timothy W. Finin
— a cura di
Timothy W. Finin, Chiara Ghidini, Tom La Porta, Chiara Petrioli
— stato
pubblicato
— tipo
articolo in atti
— data di pubblicazione
22-26 August 2004
— volume
1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous'04)
— pagine
268-277
— indirizzo
Boston, MA, USA
URL
identificatori
— DOI
— print ISBN
0-7695-2208-4