RDF description Jon Lázaro

PhD student

Oct. 2011  -  Mar. 2014

[u' @incollection{emaldi_linked_2015, title = {Linked {Open} {Data} as the {Fuel} for {Smarter} {Cities}}, booktitle = {Modeling and {Processing} for {Next}-{Generation} {Big}-{Data} {Technologies}}, publisher = {Springer}, author = {Emaldi, Mikel and Pe\xf1a, Oscar and L\xe1zaro, Jon and L\xf3pez-de-Ipi\xf1a, Diego}, year = {2015}, note = {00000}, pages = {443--472} }']

[u" @inproceedings{pena_visual_2014, address = {Nancy, France}, title = {Visual {Analysis} of a {Research} {Group}\u2019s {Performance} thanks to {Linked} {Open} {Data}}, abstract = {Managing data within a research unit is not a trivial task due to the high number of entities to deal with: projects, researchers, publications, attended events, etc. When all these data are exposed on a public website, the need to have it updated is fundamental to avoid getting an incorrect impression of the group's performance. As research centres websites are usually quite static, external documents are generated by managers, resulting in data redundancy and out-of-date records.", u"In this paper, we show our efforts to manage all these data using Labman, a web framework that deals with all the data, links entities and publishes them as Linked Open Data, allowing to get insightful information about the group's productivity using visual analytics and interactive charts.}, language = {English}, booktitle = {Linked {Data} for {Knowledge} {Discovery}}, author = {Pe\xf1a, Oscar and L\xe1zaro, Jon and Almeida, Aitor and Ordu\xf1a, Pablo and Aguilera, Unai and L\xf3pez-de-Ipina, Diego}, year = {2014}, note = {00000}, keywords = {Data analysis, Data management, Linked Open Data, labman, linked data, visualization}, pages = {59--68} }"]

[u" @inproceedings{emaldi_trust_2013, address = {Riva del Garda (Italy)}, title = {To trust, or not to trust: {Highlighting} the need for data provenance in mobile apps for smart cities}, shorttitle = {To trust, or not to trust}, url = {http://db.disi.unitn.eu/pages/VLDBProgram/pdf/IMMoA/paper7.pdf}, abstract = {The popularity of smartphones makes them the most suitable devices to ensure access to services provided by smart cities; furthermore, as one of the main features of the smart cities is the participation of the citizens in their governance, it is not unusual that these citizens generate and share their own data through their smartphones. But, how can we know if these data are reliable? How can identify if a given user and, consequently, the data generated by him/her, can be trusted? On this paper, we present how the IES Cities' platform integrates the PROV Data Model and the related PROV-O ontology, allowing the exchange of provenance information about user-generated data in the context of smart cities.}, urldate = {2013-09-23TZ}, author = {Emaldi, Mikel and Pe\xf1a, Oscar and L\xe1zaro, Jon and Vanhecke, Sacha and Mannens, Erik and L\xf3pez-De-Ipi\xf1a, Diego, Diego}, year = {2013}, keywords = {iescities, linked data, mobile applications, ontologies, provenance, semantic web, smart cities} }"]

[u' @inproceedings{emaldi_short_2012, address = {Boston, MA}, series = {International {Workshop} on {Semantic} {Sensor} {Networks} 2012 ({SSN}2012)}, title = {Short {Paper}: {Semantic} {Annotations} for {Sensor} {Open} {Data}}, volume = {904}, abstract = {Since the creation of the Open Data Euskadi (ODE) initiative in 2009, one of its challenges has been the publication of government Open Data following the Linked Data principles. On the other hand, one of the challenges for the Semantic Sensor Web is the integration and fusion of data from heterogeneous sensor networks. In this short paper we present the efforts made at the Bizkaisense project on the alignment of different ontologies with the objective to fulfil these two challenges.}, booktitle = {Proc. of the 5th {International} {Workshop} on {Semantic} {Sensor} {Networks}}, publisher = {CEUR-WS}, author = {Emaldi, Mikel and L\xe1zaro, Jon and Aguilera, Unai and Pe\xf1a, Oscar and L\xf3pez de Ipi\xf1a, Diego}, year = {2012}, keywords = {bizkaisense, linked data, ontologies, open data, opendataeuskadi, python, semantic sensor networks, semantic web}, pages = {115--120} }']

[u' @incollection{emaldi_linkedqr:_2012, series = {Lecture {Notes} in {Computer} {Science}}, title = {{LinkedQR}: {Improving} {Tourism} {Experience} through {Linked} {Data} and {QR} {Codes}}, copyright = {\xa92012 Springer-Verlag Berlin Heidelberg}, isbn = {978-3-642-35376-5 978-3-642-35377-2}, shorttitle = {{LinkedQR}}, url = {http://link.springer.com/chapter/10.1007/978-3-642-35377-2_52}, abstract = {Since Sir Tim Berners-Lee announced the best practices to publish semantic data through the Web, Linked Data principles have been introduced into a wide variety of application domains. This usage of Linked Data eases the enrichment of offered data in a grade that the semantic data that not applies the Linked Data principles never would achieve. In this paper, we present LinkedQR, a tool to improve the collaboration between QR codes and Linked Data; and a case study based on the tourism sector located into an art gallery.}, number = {7656}, urldate = {2013-09-19TZ}, booktitle = {Ubiquitous {Computing} and {Ambient} {Intelligence}}, publisher = {Springer Berlin Heidelberg}, author = {Emaldi, Mikel and L\xe1zaro, Jon and Laiseca, Xabier and L\xf3pez-de-Ipi\xf1a, Diego}, editor = {Bravo, Jos\xe9 and L\xf3pez-de-Ipi\xf1a, Diego and Moya, Francisco}, month = jan, year = {2012}, keywords = {User Interfaces and Human Computer Interaction, android, linked data, qr, smart cities, tourism, tourspheres}, pages = {371--378} }']