Geographica: A Benchmark for Geospatial RDF Stores

Geospatial extensions of SPARQL like GeoSPARQL and stSPARQL have recently been defined and corresponding geospatial RDF stores have been implemented. However, there is no widely used benchmark for evaluating geospatial RDF stores which takes into account recent advances to the state of the art in this area. In this paper, we develop a benchmark, called Geographica, which uses both real-world and synthetic data to test the offered functionality and the performance of some prominent geospatial RDF stores

A Data Scope for Satellite Data

The Copernicus program will produce a sizable stream of remote sensor data, which when combined with ground sensor systems provides a fertile soil to explain the past and predict the future of Planet Earth’s health. The sheer size and data complexity calls for innovative technology to provide efficient and effective data exploration. We present a DataScope for Satellite data, a framework geared at interactive derivation of knowledge from various remote sensing data sources. It can handle their voluminous data sizes and geo-distribution. Moreover, it simplifies the task for the data scientist who wants to adapt his search parameters to steer his scientific quest. At the same time being able to browse the data stored in the Cloud, to execute complex algorithms, and correlate it with data store data different locatio

Strabon: A Semantic Geospatial DBMS

We present Strabon, a new RDF store that supports the state of the art semantic geospatial query languages stSPARQL and GeoSPARQL. To illustrate the expressive power offered by these query languages and their implementation in Strabon, we concentrate on the new version of the data model stRDF and the query language stSPARQL that we have developed ourselves. Like GeoSPARQL, these new versions use OGC standards to represent geometries where the original versions used linear constraints. We study the performance of Strabon experimentally and show that it scales to very large data volumes and performs, most of the times, better than all other geospatial RDF stores it has been compared with

Hecataeus: A Framework for Representing SQL Constructs as Graphs

Abstract. Traditional modeling techniques typically focus on the static part of databases and ignore their dynamic part (e.g., queries or data-centric workflows). In this paper, we first introduce and sketch a graph-based model that captures relations, views, constraints and queries. We then present HECATAEUS, a tool for implementing and visualizing the above framework. Keywords: Database Modeling and Query Languages, Meta-modeling 1

SexTant: Visualizing Time-Evolving Linked Geospatial Data ⋆

Abstract. We present SexTant, a Web-based system for the visualization and exploration of time-evolving linked geospatial data and the creation, sharing, and collaborative editing of “temporally-enriched ” thematic maps which are produced by combining different sources of such data.

Data Models and Query Languages for Linked Geospatial Data

The recent availability of geospatial information as linked open data has generated new interest in geospatial query processing and reasoning, a topic with a long tradition of research in the areas of databases and artificial intelligence. In this paper we survey recent advances in this important research topic, concentrating on issues of data modeling and querying

SemSorGrid4Env Architecture

This document specifies, designs, and validates the Semantic Sensor Grid Rapid Application Development for Environmental Management (SemSorGrid4Env) software architecture. The architecture enables the publication and querying of both stored (e.g. database) and streaming (e.g. sensor) data to support the rapid development of applications for environmental monitoring. Significant benefits are provided by the use of semantic technology for service discovery and data integration. The infrastructural backbone of the architecture is provided by four service-oriented services: Stored Data Service for the publication of databases, Streaming Data Service for the publication of sensor data, Registration and Discovery Service to enable resources to found, and Integration and Querying Service to enable multiple data sources to be accessed through a single model. These services will be supplemented with application domain specific services which may offer RESTful interfaces

The Spatiotemporal RDF Store Strabon

Strabon is a very scalable and efficient RDF store for storing and querying geospatial data that changes over time. We present the geospatial and temporal features of Strabon and we demonstrate their utilization in the fire monitoring and the burn scar mapping applications of the National Observatory of Athens

A columnar architecture for modern risk management systems

3D digital city models form the basis for flow simulations (e.g. wind flow and water runoff), urban planning, underand over- ground formation analysis, and they are very important for automated anomaly detection on man made structures. They consist of large collections of semantically rich objects which have many properties such as material and color. Such user’s data structure perception is leading to complex storage schemas. The number of table relations to manage and the large data storage footprint drawbacks are then extended with the fact that not all the systems have a "real" 3D data type.In this work we would like to show our efforts to develop a new kind of Spatial Data Management System (SDBMS) where topological and geometric functionality for 3D raster manipulation will become part of the relational kernel and not an add-on. With it spatial analysis tailored to different use case scenarios is done on-demand and fast enough to support real-time interaction in modern risk management systems.Accepted Author ManuscriptDesign InformaticsUrban Data Scienc