Semantic Enrichment for Geospatial Information in a Tourism Recommender System

2013 ◽  
pp. 2208-2229
Author(s):  
Joan de la Flor ◽  
Joan Borràs ◽  
David Isern ◽  
Aida Valls ◽  
Antonio Moreno ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Recommender System ◽  
Hybrid Method ◽  
Spatial Data ◽  
Recommendation System ◽  
Geographic Information ◽  
Computational Time ◽  
Limited Information ◽  
Geospatial Information ◽  
Visitor Satisfaction

Geospatial information is commonly used in tourism to facilitate activity planning, especially in a context of limited information on the territory, as it is common in the case of complex and heterogeneous tourism destination regions where the constrained spatial activity of visitor is likely to generate inefficiencies in the use of assets and resources, and hinder visitor satisfaction. Because of the large amount of spatial and non-spatial data associated with different resources and activities, it is a logical choice to use geographic information systems (GIS) for storing, managing, analyzing, and visualizing the data. Nevertheless, in order to facilitate personalized recommendations to visitors, interaction with Artificial Intelligence is needed. This chapter presents SigTur/E-Destination, a tourism recommender system based on a semantically-enriched GIS that provides regional tourist organizations and the industry with a new powerful tool for the sustainable management of their destinations. The recommendation system uses innovative Artificial Intelligence techniques, such as a hybrid method that integrates content-based and collaborative filtering and clustering methodologies that improve computational time.

Semantic Enrichment for Geospatial Information in a Tourism Recommender System

2012 ◽  
pp. 133-155 ◽  
Author(s):  
Joan de la Flor ◽  
Joan Borràs ◽  
David Isern ◽  
Aida Valls ◽  
Antonio Moreno ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Recommender System ◽  
Hybrid Method ◽  
Spatial Data ◽  
Recommendation System ◽  
Geographic Information ◽  
Computational Time ◽  
Limited Information ◽  
Geospatial Information ◽  
Visitor Satisfaction

Geospatial information is commonly used in tourism to facilitate activity planning, especially in a context of limited information on the territory, as it is common in the case of complex and heterogeneous tourism destination regions where the constrained spatial activity of visitor is likely to generate inefficiencies in the use of assets and resources, and hinder visitor satisfaction. Because of the large amount of spatial and non-spatial data associated with different resources and activities, it is a logical choice to use geographic information systems (GIS) for storing, managing, analyzing, and visualizing the data. Nevertheless, in order to facilitate personalized recommendations to visitors, interaction with Artificial Intelligence is needed. This chapter presents SigTur/E-Destination, a tourism recommender system based on a semantically-enriched GIS that provides regional tourist organizations and the industry with a new powerful tool for the sustainable management of their destinations. The recommendation system uses innovative Artificial Intelligence techniques, such as a hybrid method that integrates content-based and collaborative filtering and clustering methodologies that improve computational time.

Supporting Aeronautical Information Management (AIM) Through Geographic Information Technologies and Spatial Data Infrastructures (SDI)

2019 ◽  
pp. 306-348
Author(s):  
Willington Siabato ◽  
Javier Moya-Honduvilla ◽  
Miguel Ángel Bernabé-Poveda
Keyword(s):  
Information Management ◽  
Spatial Data ◽  
Information Technologies ◽  
Geographic Information ◽  
Information Services ◽  
Air Traffic ◽  
Geospatial Information ◽  
Geographic Information Technologies ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

The way aeronautical information is managed and disseminated must be modernized. Current aeronautical information services (AIS) methods for storing, publishing, disseminating, querying, and updating the volume of data required for the effective management of air traffic control have become obsolete. This does not contribute to preventing airspace congestion, which turns into a limiting factor for economic growth and generates negative effects on the environment. Owing to this, some work plans for improving AIS and air traffic flow focus on data and services interoperability to allow an efficient and coordinated use and exchange of aeronautical information. Geographic information technologies (GIT) and spatial data infrastructures (SDI) are comprehensive technologies upon which any service that integrates geospatial information can rely. The authors are working on the assumption that the foundations and underlying technologies of GIT and SDI can be applied to support aeronautical data and services, considering that aeronautical information contains a large number of geospatial components. This article presents the design, development, and implementation of a Web-based system architecture to evolve and enhance the use and management of aeronautical information in any context, e.g., in aeronautical charts on board, in control towers, and in aeronautical information services. After conducting a study into the use of aeronautical information, it was found that users demand specific requirements regarding reliability, flexibility, customization, integration, standardization, and cost reduction. These issues are not being addressed with existing systems and methods. A system compliant with geographic standards (OGC, ISO) and aeronautical regulations (ICAO, EUROCONTROL) and supported by a scalable and distributed Web architecture is proposed. This proposal would solve the shortcomings identified in the study and provide aeronautical information management (AIM) with new methods and strategies. In order to seek aeronautical data and services interoperability, a comprehensive aeronautical metadata profile has been defined. This proposal facilitates the use, retrieval, updating, querying, and editing of aeronautical information, as well as its exchange between different private and public institutions. The tests and validations have shown that the proposal is achievable.

Research on Technology of Semantic Fusion in Geospatial Information Based on Ontology

2011 ◽  
Vol 403-408 ◽  
pp. 3039-3043
Author(s):  
Ke Li ◽  
Han Lin Zhang ◽  
Lin Du
Keyword(s):  
Data Integration ◽  
Spatial Data ◽  
Information Service ◽  
Geographic Information ◽  
Information Services ◽  
It Use ◽  
Geospatial Information ◽  
Semantic Level ◽  
Service Ontology ◽  
Spatial Data Integration

Because of lacking detailed metadata information in the traditional geospatial data, it would lead to being short of part semantic information. Facing the demand of interoperability in growing application of geographic information service, Ontology technology is regarded as one of Effective approach to solve the question of data heterogeneous and interoperability. So in this paper, it would use some new theory and methods of ontology into geographic Information Services, which would solve the difficulties of the geographical spatial data integration. Facing the demand of interoperability in growing application of geographic information service, Ontology techology is widely noticed in the past few years, and is regarded as one of Effective approach to solve the question of data heterogeneous and interoperability. Using the mapping of concepts and attributes, ontology expresses practical geographic space in Semantic level, analyzing the structure and content of geographical spatial database and setting up corresponding domain ontology. At last , it use some logical operations to solve the question of data heterogeneous and interoperability. So in this paper, it would use some new theory and methods of ontology into geographic Information Services, which would solve the difficulties of the geographical spatial data integration.

scholarly journals INTEGRATION OF REMOTELY SENSED DATA INTO GEOSPATIAL REFERENCE INFORMATION DATABASES. UN-GGIM NATIONAL APPROACH

2016 ◽  
Vol XLI-B4 ◽  
pp. 721-725
Author(s):  
A. Arozarena ◽  
G. Villa ◽  
N. Valcárcel ◽  
B. Pérez
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Remotely Sensed ◽  
Geographic Information ◽  
Earth Observation ◽  
Institutional Arrangements ◽  
Observation System ◽  
Remotely Sensed Data ◽  
Geospatial Information ◽  
Reference Information

Remote sensing satellites, together with aerial and terrestrial platforms (mobile and fixed), produce nowadays huge amounts of data coming from a wide variety of sensors. These datasets serve as main data sources for the extraction of Geospatial Reference Information (GRI), constituting the “skeleton” of any Spatial Data Infrastructure (SDI). <br><br> Since very different situations can be found around the world in terms of geographic information production and management, the generation of global GRI datasets seems extremely challenging. Remotely sensed data, due to its wide availability nowadays, is able to provide fundamental sources for any production or management system present in different countries. After several automatic and semiautomatic processes including ancillary data, the extracted geospatial information is ready to become part of the GRI databases. <br><br> In order to optimize these data flows for the production of high quality geospatial information and to promote its use to address global challenges several initiatives at national, continental and global levels have been put in place, such as European INSPIRE initiative and Copernicus Programme, and global initiatives such as the Group on Earth Observation/Global Earth Observation System of Systems (GEO/GEOSS) and United Nations Global Geospatial Information Management (UN-GGIM). These workflows are established mainly by public organizations, with the adequate institutional arrangements at national, regional or global levels. Other initiatives, such as Volunteered Geographic Information (VGI), on the other hand may contribute to maintain the GRI databases updated. <br><br> Remotely sensed data hence becomes one of the main pillars underpinning the establishment of a global SDI, as those datasets will be used by public agencies or institutions as well as by volunteers to extract the required spatial information that in turn will feed the GRI databases. <br><br> This paper intends to provide an example of how institutional arrangements and cooperative production systems can be set up at any territorial level in order to exploit remotely sensed data in the most intensive manner, taking advantage of all its potential.

scholarly journals 3D Visualization Process and Efficiency Analysis of Geographic Information Based on WebGL

2019 ◽  
Vol 2 ◽  
pp. 1-5
Author(s):  
Deguo Su ◽  
Beibei Tan ◽  
Debao Yuan ◽  
Yong Wang ◽  
Jiping Liu
Keyword(s):  
Spatial Data ◽  
Visual Analysis ◽  
3D Visualization ◽  
Design Method ◽  
Rapid Development ◽  
Geographic Information ◽  
Geospatial Information ◽  
Visualization Process ◽  
Visualization Technology ◽  
Geographic Process

<p><strong>Abstract.</strong> With the rapid development of geographic information technology, the web-based 3D visualization technology is constantly updated with the development of computers. However, the traditional 3D geographic data visualization software based on the rich-client model it has significant limitations in the display and analysis of geospatial information and it is difficult to install and use, result in that difficult to meet the application of Geo-dynamic simulation, visual analysis, and collaborative decision-making of the geographic process. In order to show the realism of spatial data more directly, this paper introduces a 3D visualization process design method of geographic information and analyses the 3D data modelling building and visualization efficiency. The process combines multiple data sources are loaded automatically, cross platform, 2D &amp;amp; 3D integration, and make a wider range of customers easily access to the visualization effect of 3D spatial data.</p>

scholarly journals INTEGRATION OF REMOTELY SENSED DATA INTO GEOSPATIAL REFERENCE INFORMATION DATABASES. UN-GGIM NATIONAL APPROACH

2016 ◽  
Vol XLI-B4 ◽  
pp. 721-725
Author(s):  
A. Arozarena ◽  
G. Villa ◽  
N. Valcárcel ◽  
B. Pérez
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Remotely Sensed ◽  
Geographic Information ◽  
Earth Observation ◽  
Institutional Arrangements ◽  
Observation System ◽  
Remotely Sensed Data ◽  
Geospatial Information ◽  
Reference Information

Remote sensing satellites, together with aerial and terrestrial platforms (mobile and fixed), produce nowadays huge amounts of data coming from a wide variety of sensors. These datasets serve as main data sources for the extraction of Geospatial Reference Information (GRI), constituting the “skeleton” of any Spatial Data Infrastructure (SDI). &lt;br&gt;&lt;br&gt; Since very different situations can be found around the world in terms of geographic information production and management, the generation of global GRI datasets seems extremely challenging. Remotely sensed data, due to its wide availability nowadays, is able to provide fundamental sources for any production or management system present in different countries. After several automatic and semiautomatic processes including ancillary data, the extracted geospatial information is ready to become part of the GRI databases. &lt;br&gt;&lt;br&gt; In order to optimize these data flows for the production of high quality geospatial information and to promote its use to address global challenges several initiatives at national, continental and global levels have been put in place, such as European INSPIRE initiative and Copernicus Programme, and global initiatives such as the Group on Earth Observation/Global Earth Observation System of Systems (GEO/GEOSS) and United Nations Global Geospatial Information Management (UN-GGIM). These workflows are established mainly by public organizations, with the adequate institutional arrangements at national, regional or global levels. Other initiatives, such as Volunteered Geographic Information (VGI), on the other hand may contribute to maintain the GRI databases updated. &lt;br&gt;&lt;br&gt; Remotely sensed data hence becomes one of the main pillars underpinning the establishment of a global SDI, as those datasets will be used by public agencies or institutions as well as by volunteers to extract the required spatial information that in turn will feed the GRI databases. &lt;br&gt;&lt;br&gt; This paper intends to provide an example of how institutional arrangements and cooperative production systems can be set up at any territorial level in order to exploit remotely sensed data in the most intensive manner, taking advantage of all its potential.

Development of the geoinformation system for hunting farms.

2017 ◽  
Author(s):  
М.Р.  Вагизов ◽  
Д.А. Дубов
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Organizational Structure ◽  
Spatial Data ◽  
Web Application ◽  
Geographic Information ◽  
Educational Process ◽  
Information Support ◽  
Quality Level ◽  
Strategy Of Development

Рассматривается необходимость разработки специализированной геоинформационной системы для отрасли охотничьего хозяйства. Указаны основные принципы проектирования и разработки приложения. Определены необходимые требования к проектируемой ГИС и задачи, которые способна решать система. Проведено описание организационной структуры геоинформационной системы и функции, подлежащие визуализации. Составлено схемотехнические решение и визуализация графического интерфейса взаимодействия пользователя с системой. В соответствии со Стратегией развития охотничьего хозяйства РФ до 2030 года, требуется повышать программно-информационное обеспечение охотпользователей. Обоснованием разработки является отсутствие единой системы сбора, хранения и систематизации данных о состоянии охотхозяйств, численности популяций и проведении необходимых мероприятий. Разработка специальной ГИС способна обеспечить поддержку в системе принятия решений человеком в интересах управления территориями охотхозяйств. Разработка продуманного интерактивного интерфейса позволит вывести ГИС на наиболее качественный уровень взаимодействия. Общеизвестно, что пространственные данные являются основой информационного обеспечения геоинформационных систем, в том числе локальных ГИС. Для непрерывного обновления геоданных требуется своевременная актуализация информации на сервере, в которой данная система развернута. Поэтому в качестве технологической основы выбрано проектирование именно веб-приложения, работающего через предустановленный браузер пользователя. Реализация функций данной ГИС, продуманный человеко-машинный интерфейс, включенный в ее состав, позволит использовать данную систему не только охотпользователям, но и заинтересованным специалистам в смежных отраслях: лесное хозяйство, картография, геоинформатика, зоогегография, охотоведение. Разработанная система может использоваться в учебном процессе при подготовке студентов по различным направлениям в высших образовательных учреждениях. Discusses the necessity of developing a specialized geographic information system for hunting groung. Carried out a description of the organizational structure of geoinformation systems and functions to be rendering. Determined necessary requirements for the design of the GIS and the tasks which the system are able to solve. The organizational structure of the geographic information system and the functions to be visualized are described. Compiled technical scheme and visualization GUI. In accordance with the strategy of development of the hunting industry of the Russian Federation until 2030, it is required to increase the software and information support for hunting users. The basis for development is the lack of a unified system of collection, storage and systematization of data on the state of hunting, population and carry out the necessary measures. The development of a special GIS is able to provide support in the system of decision-making by a person in the interests of managing the territories of hunting farms. The development of a thoughtful interactive interface will bring the GIS to the most high-quality level of interaction. It is well known that the spatial data are the basis for information support of geographic information systems, including local GIS. For continuous updates of the geodata requires a timely update information on the server in which the system is deployed. Therefore, as the technological base of the selected design it is the web application running through a preset user's browser. The implementation of the functions of this GIS, intelligent man-machine interface, included in its composition, will allow you to use this system not only hunters, but also to interested professionals in related industries, forestry, cartography, geoinformatics, zoogeography, and hunting. The developed system can be used in educational process for training students in various areas in higher educational institutions.

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