LINKED DATA AND PUBLIC DATA TO IMPROVE TOURIST INFORMATION SERVICES

Oct 4, 20170 likes85 views

Peru is working to improve its public tourist data by developing open data strategies and applications. However, its tourist information is currently unstructured and not linked to other data sources. This study aims to enhance tourist services by analyzing public data, modeling it in a linked data format, and publishing it online in order to improve access and reuse of the information. The researchers identified and analyzed tourist data, modeled it using vocabularies and ontologies, generated RDF files, and launched a SPARQL server to allow queries and exploitation of the linked open data.

$Peru is one of the developing countries of Latin America, which has not improved the availability or quality of public tourist data(e.g. hotels, tourist places, restaurants, shops). These types of data are generated and saved by public sector agencies like Ministries, Municipalities. Currently, the Peru Government enhances the publication of open data and has a National Open Government Data Strategy for 2021, that is allowing to develop geolocation applications that allow locate museums of Lima, identify the most problematic districts and making data-based decisions[1]. However, Peru has only information about tourist places on its website although in an unstructured format which implies the information does not have a pre-defined data model and is not linked to other data. Besides, it does not include on its open data repository. The main aim of this study is to enhance the tourist information service by means of: i) the analysis of public data; ii) modeling a linked data format; and iii) publishing of tourist data. Keywords: Linked Data, Open Government Data, Tourist information services School of Computer Science, University of Oviedo, Valdes Salas, 33007 (elwinlhq@gmail.com) School of System Engineering, National University of the Altiplano, Puno, Av Floral 1153 Elwin Huaman LINKED DATA AND PUBLIC DATA TO IMPROVE TOURIST INFORMATION SERVICES Specification  Identification and analysis http://ficha.sigmincetur.mincetur.gob.pe/index.aspx?cod_ficha=439  URI design http://linkeddata.mincetur.gob.pe/resource/type/name Modelling  Search suitable vocabularies  Reusing vocabularies and ontologies Generation  Transformation to RDF triple  Data cleansing  Linking Publication  RDF dataset we relied on Apache Jena Fuseki Server  Linked Open Data Portal - http://linkeddata.mincetur.gob.pe/resource/  Interfaz SPARQL - http://{URI}/recurso/sparql Exploitation  Linked Open Data Cloud  anyone can retrieve data  Users, browsers, crawlers  1118 of tourist places published  8 Vocabularies and Ontologies used  +52 740 triplets generated RESULTS AND DISCUSSIONS To achieve this goal, we analyzed the properties of public tourist data, model a format using standard vocabularies and ontologies to link the information with external data. We generated rdf files using a linked data publishing methodology[2]. Finally, we launch a fuseki server that allows sparql queries and data exploitation. CONCLUSIONS Nowadays there are lot of technologies can help the process of publishing tourist information, allow us apply these to improve information services Improve the access for private and public organizations, which use tourist information to help industrial competitiveness through enrichment, query, retrieval, sharing, reusing, distribution and exploitation of public data. In the future, it is necessary to expand types and the scope of data as well as enhancing the linkage with the data held by Peru, so that other data than tourist information can also be liked for utilization. REFERENCES [1] M. Castillo, J. Patiño, Organización de las Naciones Unidas, and Comisión Económica para América Latina y el Caribe, “Datos Abiertos y Ciudades Inteligentes en América Latina: Casos de Estudio,” p. 10, 2014. [2] B. Villazón-Terrazas, L. M. Vilches-Blázquez, O. Corcho, and A. Gómez-Pérez, “Methodological Guidelines for Publishing Government Linked Data,” in Linking Government Data, 2011, pp. 27-49. ABSTRACT 2011 • Alliance for Open Government 2012 • Plan of action for the incorporation of Peru to the Open Government Society 2015 • Institutional Plan for Open Government and Open Data 2017 2021 • National Open Data Government Strategy Download POSTER$

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LINKED DATA AND PUBLIC DATA TO IMPROVE TOURIST INFORMATION SERVICES

1. Peru is one of the developing countries of Latin America, which has not improved the availability or quality of public tourist data(e.g. hotels, tourist places, restaurants, shops). These types of data are generated and saved by public sector agencies like Ministries, Municipalities. Currently, the Peru Government enhances the publication of open data and has a National Open Government Data Strategy for 2021, that is allowing to develop geolocation applications that allow locate museums of Lima, identify the most problematic districts and making data-based decisions[1]. However, Peru has only information about tourist places on its website although in an unstructured format which implies the information does not have a pre-defined data model and is not linked to other data. Besides, it does not include on its open data repository. The main aim of this study is to enhance the tourist information service by means of: i) the analysis of public data; ii) modeling a linked data format; and iii) publishing of tourist data. Keywords: Linked Data, Open Government Data, Tourist information services School of Computer Science, University of Oviedo, Valdes Salas, 33007 (elwinlhq@gmail.com) School of System Engineering, National University of the Altiplano, Puno, Av Floral 1153 Elwin Huaman LINKED DATA AND PUBLIC DATA TO IMPROVE TOURIST INFORMATION SERVICES Specification  Identification and analysis http://ficha.sigmincetur.mincetur.gob.pe/index.aspx?cod_ficha=439  URI design http://linkeddata.mincetur.gob.pe/resource/type/name Modelling  Search suitable vocabularies  Reusing vocabularies and ontologies Generation  Transformation to RDF triple  Data cleansing  Linking Publication  RDF dataset we relied on Apache Jena Fuseki Server  Linked Open Data Portal - http://linkeddata.mincetur.gob.pe/resource/  Interfaz SPARQL - http://{URI}/recurso/sparql Exploitation  Linked Open Data Cloud  anyone can retrieve data  Users, browsers, crawlers  1118 of tourist places published  8 Vocabularies and Ontologies used  +52 740 triplets generated RESULTS AND DISCUSSIONS To achieve this goal, we analyzed the properties of public tourist data, model a format using standard vocabularies and ontologies to link the information with external data. We generated rdf files using a linked data publishing methodology[2]. Finally, we launch a fuseki server that allows sparql queries and data exploitation. CONCLUSIONS Nowadays there are lot of technologies can help the process of publishing tourist information, allow us apply these to improve information services Improve the access for private and public organizations, which use tourist information to help industrial competitiveness through enrichment, query, retrieval, sharing, reusing, distribution and exploitation of public data. In the future, it is necessary to expand types and the scope of data as well as enhancing the linkage with the data held by Peru, so that other data than tourist information can also be liked for utilization. REFERENCES [1] M. Castillo, J. Patiño, Organización de las Naciones Unidas, and Comisión Económica para América Latina y el Caribe, “Datos Abiertos y Ciudades Inteligentes en América Latina: Casos de Estudio,” p. 10, 2014. [2] B. Villazón-Terrazas, L. M. Vilches-Blázquez, O. Corcho, and A. Gómez-Pérez, “Methodological Guidelines for Publishing Government Linked Data,” in Linking Government Data, 2011, pp. 27-49. ABSTRACT 2011 • Alliance for Open Government 2012 • Plan of action for the incorporation of Peru to the Open Government Society 2015 • Institutional Plan for Open Government and Open Data 2017 2021 • National Open Data Government Strategy Download POSTER

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LINKED DATA AND PUBLIC DATA TO IMPROVE TOURIST INFORMATION SERVICES

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