Using semantic caching to manage location dependent data in mobile computing
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Semantic Caching and Query Processing
IEEE Transactions on Knowledge and Data Engineering
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Performance and overhead of semantic cache management
ACM Transactions on Internet Technology (TOIT)
Towards distributed processing of RDF path queries
International Journal of Web Engineering and Technology
Hexastore: sextuple indexing for semantic web data management
Proceedings of the VLDB Endowment
A Framework for Decentralized, Context-Aware Mobile Applications Using Semantic Web Technology
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
Querying distributed RDF data sources with SPARQL
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
SPARQL query optimization on top of DHTs
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Adaptive integration of distributed semantic web data
DNIS'10 Proceedings of the 6th international conference on Databases in Networked Information Systems
Context-aware semantic discovery for next generation mobile systems
IEEE Communications Magazine
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Due to advancements in mobile technology and connectivity, mobile devices have become fully-fledged web clients. At the same time, more and more Semantic Web data is becoming available, to a point where it becomes usable for various mobile application scenarios. However, most applications are limited to using pre-defined query endpoints in order to access Semantic Web data, which leaves a huge part of the Semantic Web, consisting of online RDF files and semantically annotated websites, inaccessible. In this paper, we present a mobile query service for the efficient and transparent querying of large amounts of small online RDF sources. In order to achieve this, the query service relies on two key components: 1/ a lightweight semantics-based indexing scheme, to identify sources relevant to posed queries, and 2/ a caching mechanism that locally stores frequently-used data.