@article{granell2017conceptual,
title = {Conceptual Architecture and Service-Oriented Implementation of a Regional Geoportal for Rice Monitoring},
author = {Carlos Granell-Canut and Ignacio Miralles-Tena and Luis Enrique Rodríguez-Pupo and Alberto González-Pérez and Sven Casteleyn and Lorenzo Busetto and Monica Pepe and Mirco Boschetti and Joaquín Huerta-Guijarro},
url = {http://www.mdpi.com/2220-9964/6/7/191},
issn = {2220-9964},
year = {2017},
date = {2017-06-23},
journal = {ISPRS International Journal of Geo-Information},
volume = {6},
number = {7},
pages = {191},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {Data integration, geoportals, Geospatial services, remote sensing for agriculture, rice crop monitoring, service-oriented architecture, web mapping for agriculture},
pubstate = {published},
tppubtype = {article}
}

@article{VanWoensel2016,
title = {A mobile query service for integrated access to large numbers of online semantic web data sources},
author = { William Van-Woensel and Sven Casteleyn},
url = {http://hdl.handle.net/10234/159488},
doi = {10.1016/j.websem.2015.10.002},
issn = {1570-8268},
year = {2016},
date = {2016-01-01},
journal = {Journal of Web Semantics},
volume = {36},
pages = {58-76},
publisher = {Elsevier B.V.},
abstract = {From the Semantic Web's inception, a number of concurrent initiatives have given rise to multiple segments: large semantic datasets, exposed by query endpoints; online Semantic Web documents, in the form of RDF files; and semantically annotated web content (e.g., using RDFa), semantic sources in their own right. In various mobile application scenarios, online semantic data has proven to be useful. While query endpoints are most commonly exploited, they are mainly useful to expose large semantic datasets. Alternatively, mobile RDF stores are utilized to query local semantic data, but this requires the design-time identification and replication of relevant data. Instead, we present a mobile query service that supports on-the-fly and integrated querying of semantic data, originating from a largely unused portion of the Semantic Web, comprising online RDF files and semantics embedded in annotated webpages. To that end, our solution performs dynamic identification, retrieval and caching of query-relevant semantic data. We explore several data identification and caching alternatives, and investigate the utility of source metadata in optimizing these tasks. Further, we introduce a novel cache replacement strategy, fine-tuned to the described query dataset, and include explicit support for the Open World Assumption. An extensive experimental validation evaluates the query service and its alternative components.},
note = {IF:},
keywords = {Cache replacement, Data caching, Data indexing, Data integration, mobile computing},
pubstate = {published},
tppubtype = {article}
}