Today, location-based services (LBS) are very popular information services for mobile users who access the services with location-aware mobile devices through wireless networks. The data sources of advanced LBSs are on the Web, which consists of a huge volume of data in human-readable format

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PrePrint: Geo-Store: A Framework for Supporting Semantics Enabled Location-Based Services with RDF Triple Stores

In this article, we aim at understanding a type of mashups that has been gaining attention recently, i.e., telco mashups, and that, given its novel requirements and characteristics, deserves an analysis that goes beyond what has been done so far for mashups in general.

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PrePrint: From Mashups to Telco Mashups: A Survey

Semistatic word-based byte-oriented compressors are known to be attractive alternatives to compress natural language texts. With compression ratios around 30–35%, they allow fast direct searching of compressed text

Coverage problems are a flourishing topic in optimization, thanks to the recent advances in the field of wireless sensor networks. The main coverage issue centres around critical conditions that require reliable monitoring and prohibit failures. This issue can be addressed by maximal-exposure paths, regarding which this article presents new results.

The growing number of datasets being published on the Web as Linked Data brings, together with its opportunities, the associated challenges of querying data in a semantically heterogeneous and distributed environment. Approaches used for querying siloed databases fail at Web-scale, where it is unfeasible for end-users to have an a priori understanding of available datasets.

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PrePrint: Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches and Trends