Map4rdf - Faceted Browser for Geospatial Datasets

Recently we have seen a large increase in the amount of geospatial data that is being published using RDF and Linked Data principles. Eorts such as the W3C Geo XG, and most recently the GeoSPARQL initiative are providing the necessary vocabularies to pub- lish this kind of information on the Web of Data. In this context it is necessary to develop applications that consume and take advantage of these geospatial datasets. In this paper we present map4rdf, a faceted browsing tool for exploring and visualizing RDF datasets enhanced with geospatial information.

Metadata Visualization of Cultural Heritage Information within a Collaborative Environment

Cultural content on the Web is available in various domains (cultural objects, datasets, geospatial data, moving images, scholarly texts and visual resources), concerns various topics, is written in different languages, targeted to both laymen and experts, and provided by different communities (libraries, archives museums and information industry) and individuals (Figure 1). The integration of information technologies and cultural heritage content on the Web is expected to have an impact on everyday life from the point of view of institutions, communities and individuals. In particular, collaborative environment scan recreate 3D navigable worlds that can offer new insights into our cultural heritage (Chan 2007). However, the main barrier is to find and relate cultural heritage information by end-users of cultural contents, as well as by organisations and communities managing and producing them. In this paper, we explore several visualisation techniques for supporting cultural interfaces, where the role of metadata is essential for supporting the search and communication among end-users (Figure 2). A conceptual framework was developed to integrate the data, purpose, technology, impact, and form components of a collaborative environment, Our preliminary results show that collaborative environments can help with cultural heritage information sharing and communication tasks because of the way in which they provide a visual context to end-users. They can be regarded as distributed virtual reality systems that offer graphically realised, potentially infinite, digital information landscapes. Moreover, collaborative environments also provide a new way of interaction between an end-user and a cultural heritage data set. Finally, the visualisation of metadata of a dataset plays an important role in helping end-users in their search for heritage contents on the Web.

Integración de modelos numéricos de glaciares y procesado de datos de georradar en un sistema de información geográfica

Los modelos de termomecánica glaciar están definidos mediante sistemas de ecuaciones en derivadas parciales que establecen los principios básicos de conservación de masa, momento lineal y energía, acompañados por una ley constitutiva que define la relación entre las tensiones a las que está sometido el hielo glaciar y las deformaciones resultantes de las mismas. La resolución de estas ecuaciones requiere la definición precisa del dominio (la geometría del glaciar, obtenido a partir de medidas topográficas y de georradar), así como contar con un conjunto de condiciones de contorno, que se obtienen a partir de medidas de campo de las variables implicadas y que constituyen un conjunto de datos geoespaciales. El objetivo fundamental de esta tesis es desarrollar una serie de herramientas que nos permitan definir con precisión la geometría del glaciar y disponer de un conjunto adecuado de valores de las variables a utilizar como condiciones de contorno del problema. Para ello, en esta tesis se aborda la recopilación, la integración y el estudio de los datos geoespaciales existentes para la Península Hurd, en la Isla Livingston (Antártida), generados desde el año 1957 hasta la actualidad, en un sistema de información geográfica. Del correcto tratamiento y procesamiento de estos datos se obtienen otra serie de elementos que nos permiten realizar la simulación numérica del régimen termomecánico presente de los glaciares de Península Hurd, así como su evolución futura. Con este objetivo se desarrolla en primer lugar un inventario completo de datos geoespaciales y se realiza un procesado de los datos capturados en campo, para establecer un sistema de referencia común a todos ellos. Se unifican además todos los datos bajo un mismo formato estándar de almacenamiento e intercambio de información, generándose los metadatos correspondientes. Se desarrollan asimismo técnicas para la mejora de los procedimientos de captura y procesado de los datos, de forma que se minimicen los errores y se disponga de estimaciones fiables de los mismos. El hecho de que toda la información se integre en un sistema de información geográfica (una vez producida la normalización e inventariado de la misma) permite su consulta rápida y ágil por terceros. Además, hace posible efectuar sobre ella una serie de operaciones conducentes a la obtención de nuevas capas de información. El análisis de estos nuevos datos permite explicar el comportamiento pasado de los glaciares objeto de estudio y proporciona elementos esenciales para la simulación de su comportamiento futuro. ABSTRACT Glacier thermo-mechanical models are defined by systems of partial differential equations stating the basic principles of conservation of mass, momentum and energy, accompanied by a constitutive principle that defines the relationship between the stresses acting on the ice and the resulting deformations. The solution of these equations requires an accurate definition of the model domain (the geometry of the glacier, obtained from topographical and ground penetrating radar measurements), as well as a set of boundary conditions, which are obtained from measurements of the variables involved and define a set of geospatial data. The main objective of this thesis is to develop tools able to provide an accurate definition of the glacier geometry and getting a proper set of values for the variables to be used as boundary conditions of our problem. With the above aim, this thesis focuses on the collection, compilation and study of the geospatial data existing for the Hurd Peninsula on Livingston Island, Antarctica, generated since 1957 to present, into a geographic information system. The correct handling and processing of these data results on a new collection of elements that allow us to numerically model the present state and the future evolution of Hurd Peninsula glaciers. First, a complete inventory of geospatial data is developed and the captured data are processed, with the aim of establishing a reference system common to all collections of data. All data are stored under a common standard format, and the corresponding metadata are generated to facilitate the information exchange. We also develop techniques for the improvement of the procedures used for capturing and processing the data, such that the errors are minimized and better estimated. All information is integrated into a geographic information system (once produced the standardization and inventory of it). This allows easy and fast viewing and consulting of the data by third parties. Also, it is possible to carry out a series of operations leading to the production of new layers of information. The analysis of these new data allows to explain past glacier behavior, and provides essential elements for explaining its future evolution.

Generating descriptions that summarize geospatial and temporal data

Effective data summarization methods that use AI techniques can help humans understand large sets of data. In this paper, we describe a knowledge-based method for automatically generating summaries of geospatial and temporal data, i.e. data with geographical and temporal references. The method is useful for summarizing data streams, such as GPS traces and traffic information, that are becoming more prevalent with the increasing use of sensors in computing devices. The method presented here is an initial architecture for our ongoing research in this domain. In this paper we describe the data representations we have designed for our method, our implementations of components to perform data abstraction and natural language generation. We also discuss evaluation results that show the ability of our method to generate certain types of geospatial and temporal descriptions.