Geolod: a Spatial Linked Data Catalog and Recommender
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Mapping Spatiotemporal Data to RDF: a SPARQL Endpoint for Brussels
International Journal of Geo-Information Article Mapping Spatiotemporal Data to RDF: A SPARQL Endpoint for Brussels Alejandro Vaisman 1, * and Kevin Chentout 2 1 Instituto Tecnológico de Buenos Aires, Buenos Aires 1424, Argentina 2 Sopra Banking Software, Avenue de Tevuren 226, B-1150 Brussels, Belgium * Correspondence: [email protected]; Tel.: +54-11-3457-4864 Received: 20 June 2019; Accepted: 7 August 2019; Published: 10 August 2019 Abstract: This paper describes how a platform for publishing and querying linked open data for the Brussels Capital region in Belgium is built. Data are provided as relational tables or XML documents and are mapped into the RDF data model using R2RML, a standard language that allows defining customized mappings from relational databases to RDF datasets. In this work, data are spatiotemporal in nature; therefore, R2RML must be adapted to allow producing spatiotemporal Linked Open Data.Data generated in this way are used to populate a SPARQL endpoint, where queries are submitted and the result can be displayed on a map. This endpoint is implemented using Strabon, a spatiotemporal RDF triple store built by extending the RDF store Sesame. The first part of the paper describes how R2RML is adapted to allow producing spatial RDF data and to support XML data sources. These techniques are then used to map data about cultural events and public transport in Brussels into RDF. Spatial data are stored in the form of stRDF triples, the format required by Strabon. In addition, the endpoint is enriched with external data obtained from the Linked Open Data Cloud, from sites like DBpedia, Geonames, and LinkedGeoData, to provide context for analysis. -
Assessing Innovation in Comparative Tender Assessment in the Road Sector
ASSESSING INNOVATION IN COMPARATIVE TENDER ASSESSMENT IN THE ROAD SECTOR Pardeep Kumar Oad Master of Engineering (Research), Bachelor of Engineering (Civil) Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy School of Architecture and Built Environment Faculty of Engineering Queensland University of Technology 2021 Keywords Road industry; Bid evaluation; Innovation; Road construction, Project management, Factors of innovation; Global warming; Tendering. Assessing Innovation in Comparative Tender Assessment in the Road Sector i Abstract Innovation in the field of road construction offers significant community and industry benefits by making an important contribution to economic growth and enhancing the quality of projects. However, achieving better innovative practices to improve existing construction processes and to heighten competitiveness has become a challenge for the road industry. Innovation in the context of this research refers to the use of suitable materials in the construction of roads, such as eco-friendly roads, solar roads, and recycled materials. Moreover, innovation in the road construction industry is cocreated in a multiparty designed, shaped and environment, therefore it is important to analysis the bidder’s skills and resource capability against the project requirements. Therefore, in the bid evaluation process in the road construction sector, it is important to consider innovation as well as the other factors. This research examines the factors related to innovation in the bid evaluation process in the road construction sector. It proposes a model of innovation and bid evaluation to explore a variety of components and factors of innovation in the road sector, including innovative activities, impacts, benefits, inputs, drivers, factors, enablers and bidders’ capabilities in developing suitable roads. -
Data and Service Discovery in Linked SDI and Linked VGI
Data and Service Discovery in Linked SDI and Linked VGI Virtual Workshop on Geospatial Semantic Architectures Todd Pehle May 7, 2013 Chief Engineer tpehle-at-orbistechnologies.com 1 Agenda • Introduce Example OGC Workflow • Describe Analogous Linked Data Workflow: • Geographic Feature Types in Linked SDI/VGI • Data Discovery with GeoVoID • Service Capabilities with GeoSPARQL Service Descriptions • SPARQL-based Feature Collections • Conclusion 2 Example OGC-based GIS Workflow 1. Discover OGC Catalog 2. Search Catalog by Feature Type/BBOX 3. Discover OGC WFS Service 4. GetCapabilities 5. GetFeature 6. DescribeFeatureType 7. Add WFS Layer(s) to Map 8. Get Feature By ID 3 Feature Types in LOD What constitutes a feature type in Linked Data? • Linked Data is described using RDFS and OWL ontologies giving data a formal semantics • Consensus on a “core” intensional semantics for geographic phenomena remains elusive • Option 1: Wait (a long time) for consensus • Option 2: Minimize ontological commitment and apply definitions driven by extensional alignment (i.e. – no core) 4 Common LOD Feature Type Definitions W3C Basic Geo (Linked VGI) OGC GeoSPARQL (Linked SDI) ? SpatialThing SpatialObject ? Feature Geometry Point ns:City Relations = rdfs:subClassOf 5 Dataset Discovery with VoID and DCAT • VoID Capabilities: • General metadata • Structural • Class/property partitions • Linksets • DCAT Capabilities: • Interoperability of Catalogs • Non-RDF Catalogs Source: http://docs.ckan.org/en/latest/geospatial.html • Often stored in data portal like CKAN • Offers BBOX dataset queries • Has extension support for CSW • Flexible discovery via centralized catalogs AND socialized links (VoID Repos, URI backlinks, etc.) 6 Geospatial Data Discovery with GeoVoID Goals: • Enable discovery of geographic feature data and services in LOD via: • Feature Type Discovery • Feature Type Spatial Extents • Dataset Spatial Extents • Thematic Attribution Schema Discovery (maybe) • GeoSPARQL Endpoint Discovery • Reuse and extend existing LOD vocabs vs. -
A Survey of Geospatial Semantic Web for Cultural Heritage
heritage Review A Survey of Geospatial Semantic Web for Cultural Heritage Ikrom Nishanbaev 1,* , Erik Champion 1 and David A. McMeekin 2 1 School of Media, Creative Arts, and Social Inquiry, Curtin University, Perth, WA 6845, Australia; [email protected] 2 School of Earth and Planetary Sciences, Curtin University, Perth, WA 6845, Australia; [email protected] * Correspondence: [email protected] Received: 23 April 2019; Accepted: 16 May 2019; Published: 20 May 2019 Abstract: The amount of digital cultural heritage data produced by cultural heritage institutions is growing rapidly. Digital cultural heritage repositories have therefore become an efficient and effective way to disseminate and exploit digital cultural heritage data. However, many digital cultural heritage repositories worldwide share technical challenges such as data integration and interoperability among national and regional digital cultural heritage repositories. The result is dispersed and poorly-linked cultured heritage data, backed by non-standardized search interfaces, which thwart users’ attempts to contextualize information from distributed repositories. A recently introduced geospatial semantic web is being adopted by a great many new and existing digital cultural heritage repositories to overcome these challenges. However, no one has yet conducted a conceptual survey of the geospatial semantic web concepts for a cultural heritage audience. A conceptual survey of these concepts pertinent to the cultural heritage field is, therefore, needed. Such a survey equips cultural heritage professionals and practitioners with an overview of all the necessary tools, and free and open source semantic web and geospatial semantic web platforms that can be used to implement geospatial semantic web-based cultural heritage repositories. -
The Lives of the Saints
Cornell University Library The original of tiiis book is in tine Cornell University Library. There are no known copyright restrictions in the United States on the use of the text. http://www.archive.org/details/cu31924098140746 3 1924 098 140 746 In compliance with current copyright law, Cornell University Library produced this replacement volume on paper that meets the ANSI Standard Z39.48-1992 to replace the irreparably deteriorated original. 2004 CORNELL UNIVERSITY LIBRARY »i< ^ THE ILi'Qts of tt)e ^atnts; REV. S. BARING-GOULD SIXTEEN VOLUMES VOLUME THE SECOND ^ ^ THE EEPOSE IN EGYPT, WITH DANCING ANGELS. After Luca Cranaoh. Bj the robbery ot the nest In the tree, the painter Ingeniously points to the MaBsooro of the Innocents as to the oouse of the Flight into Egypt J [Pront.-Tol. II. * ^ THE Hities of tl)e ^mt^ BY THE REV. S. BARING-GOULD, M.A. New Edition in i6 Volumes Revised with Introduction and Additional Lives of English Martyrs, Cornish and Welsh Saints, and a full Index to the Entire Work ILLUSTRATED BY OVER 400 ENGRAVINGS VOLUME THE SECOND LONDON JOHN C. NIMMO NEW YORK: LONGMANS, GREEN, &- CO. MDCCCXCVIII Prinled by BallaNTYiNE, HANSON &- CO. At tlie Ballantyue Press *- ~>h CONTENTS PAGE S. Auxibius .... 339 S. Abraham „ Aventine of Cha- „ Adalbald 41 teaudun ... 86 ,, Adelheid 140 ,, Aventine of Troyes . 84 „ Adeloga 42 „ Avitus . 138 „ yEmilian 212 Agatha . „ 136 B ,, Aldetrudis „ Alexander 433 S. Baldomer Alnoth . „ 448 Baradatus . „ Amandus 182 Barbatus . SS. Ananias and comp. 412 Belina S. Andrew Corsini 105 Benedict of Aniane „ Angilbert 337 Berach „ Ansbert 246 Berlinda „ Anskar . -
Discovering Alignments in Ontologies of Linked Data∗
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Discovering Alignments in Ontologies of Linked Data∗ Rahul Parundekar, Craig A. Knoblock, and Jose´ Luis Ambite University of Southern California Information Sciences Institute 4676 Admiralty Way Marina del Rey, CA 90292 Abstract The problem of schema linking (aka schema matching in databases and ontology alignment in the Semantic Web) has Recently, large amounts of data are being published received much attention [Bellahsene et al., 2011; Euzenat and using Semantic Web standards. Simultaneously, Shvaiko, 2007; Bernstein et al., 2011; Gal, 2011]. In this there has been a steady rise in links between objects paper we present a novel extensional approach to generate from multiple sources. However, the ontologies alignments between ontologies of linked data sources. Sim- behind these sources have remained largely dis- ilar to previous work on instance-based matching [Duckham connected, thereby challenging the interoperabil- and Worboys, 2005; Doan et al., 2004; Isaac et al., 2007], ity goal of the Semantic Web. We address this we rely on linked instances to determine the alignments. Two problem by automatically finding alignments be- concepts are equivalent if all (or most of) their respective in- tween concepts from multiple linked data sources. stances are linked (by owl:sameAs or similar links). How- Instead of only considering the existing concepts ever, our search is not limited to the existing concepts in in each ontology, we hypothesize new composite the ontology. We hypothesize new concepts by combining concepts, defined using conjunctions and disjunc- existing elements in the ontologies and seek alignments be- tions of (RDF) types and value restrictions, and tween these more general concepts. -
Developing Geosparql Applications with Oracle Spatial and Graph
Developing GeoSPARQL Applications with Oracle Spatial and Graph Matthew Perry, Ana Estrada, Souripriya Das, Jayanta Banerjee Oracle, One Oracle Drive, Nashua, NH 03062, USA Abstract. Oracle Spatial and Graph – RDF Semantic Graph, an option for Ora- cle Database 12c, is the only mainstream commercial RDF triplestore that sup- ports the OGC GeoSPARQL standard for spatial data on the Semantic Web. This demonstration will give an overview of the GeoSPARQL implementation in Oracle Spatial and Graph and will show how to load, index and query spatial RDF data. In addition, this demonstration will discuss complimentary tools such as Oracle Map Viewer. 1 Introduction The Open Geospatial Consortium (OGC) published the GeoSPARQL standard in 2012 [1]. This standard defines, among other things, a vocabulary for representing geospatial data in RDF and an extension of the W3C SPARQL query language [4] that allows spatial processing. Oracle Database has provided support for RDF data with the Spatial and Graph op- tion since 2005. GeoSPARQL has been supported since 2013, beginning with version 12c Release 1 [2]. Oracle Spatial and Graph is the only mainstream commercial RDF triplestore that supports significant components of the OGC GeoSPARQL standard. A demonstration of Oracle’s technology will give an overview of the current state-of- the-art for managing linked geospatial data. The remainder of this paper describes major components of OGC GeoSPARQL and then discusses the architecture of Oracle Spatial and Graph. This is followed by a description of key features of Oracle Spatial and Graph that will be demonstrated. 2 The OGC GeoSPARQL Standard The OGC GeoSPARQL standard defines a number of components ranging from top-level OWL classes to a set of rules for query transformations. -
The Silky Way: Biomimetic Sensing Through Changes in Structural Proteins Final Report
The Silky Way: Biomimetic sensing through changes in structural proteins Final report Authors: Kenny Hey Tow1, Desmond M. Chow1, Fritz Vollrath2, Isabelle Dicaire3, Tom Gheysens3 and Luc Thévenaz1 Affiliation: 1 EPFL Swiss Federal Institute of Technology, Group for Fibre Optics, SCI-STI-LT, Station 11, CH-1015 Lausanne, Switzerland; 2 University of Oxford, Department of Zoology, Oxford OX1 3PS, UK; 3 Advanced Concepts Team, European Space Agency (ESA), Noordwijk, The Netherlands. Date: 30 April 2015 ACT research category: Biomimetics Contacts: Kenny Hey Tow Leopold Summerer (Technical Officer) Tel: +41(0)216935604 Tel: +31(0)715654192 Fax: +41(0)216934660 Fax: +31(0)715658018 e-mail: [email protected] e-mail: [email protected] Ariadna ID: 14-6401 Ariadna study type: Standard Contract Number: 4000112060/14/NL/MV http://www.esa.int/act This page is intentionally left blank ii Swiss Federal Institute of Technology (EPFL) University of Oxford Group for Fibre Optics (GFO) Oxford Silk Group CH-1015 Lausanne Oxfordshire OX1 3PS Switzerland United Kingdom FINAL REPORT FOR ARIADNA STUDY 14-6401 THE SILKY WAY: BIOMIMETIC SENSING THROUGH CHANGES IN STRUCTURAL PROTEINS Light propagation along a sample of silk fibre Illustration of a female Nephila edulis spider used by the Oxford Silk Group Prepared by: EPFL-GFO: K. Hey Tow, D. M Chow and L. Thévenaz Oxford Silk Group: F. Vollrath ACT-ESTEC: T. Gheysens, I. Dicaire iii This page is intentionally left blank iv Ecole Polytechnique Fédérale de Lausanne (EPFL) Group for Fibre Optics (GFO) CH-1015 Lausanne, Switzerland ABSTRACT Whilst being thoroughly used in the textile industry and biomedical sector, silk has not yet been exploited for fibre optics-based sensing although silk fibres directly obtained from spiders can guide light and have shown early promises to being sensitive to some solvents. -
Linked Data Enables Such Web of Data Global Identifier
Lift your data Introduction to Linked Data Ghislain Atemezing1 , Boris Villazón-Terrazas2 1 EURECOM, France [email protected] 2 Ontology Engineering Group , FI , UPM [email protected] Slides available at: http://www.slideshare.net/atemezing/ INSPIRE Conference 2012, Istanbul Acknowledgements: Oscar Corcho, Asunción Gómez-Pérez, Luis Vilches, Raphaël Troncy, Olaf Hartig, Luis Vilches and many others that we may have omitted. Workdistributed under the license Creative Commons Attribution- Noncommercial-Share Alike 3.0 Agenda Linked Data Geospatial LD Datasets 5-star deployment scheme for Linked Open Data Tutorial “Lift your data”, Istanbul 2012 2 Agenda Linked Data Geospatial LD Datasets 5-star deployment scheme for Linked Open Data Tutorial “Lift your data”, Istanbul 2012 3 Current Web Geospatial Database (Spain) Data exposed to the Web via HTML, pdf, etc. Statistical Database (Spain) © Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig Tutorial “Lift your data”, Istanbul 2012 4 Information from ssgeingle pages can be found via sear ch eegngin es © Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig Tutorial “Lift your data”, Istanbul 2012 5 Complex queries over muliltipl e pages/data sources? © Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig Tutorial “Lift your data”, Istanbul 2012 6 What do we actually want? • Use the Web like a single global database • web of documents -> web of data Geospatial Statistical Database Database (Spain) (Spain) © Slide adapted from “5min Introduction to Linked Data”- Olaf Hartig 7 Tutorial “Lift your data”, Istanbul 2012 7 Linked Data enables such Web of Data Global Identifier: URI (Uniform Resource Identifier), which is a string of characters used to identify a name or a resource on the Internet. -
Using Silkworms As Hosts to Produce a Hybrid Silkworm-Spider Silk Fiber
Utah State University DigitalCommons@USU All Graduate Theses and Dissertations Graduate Studies 8-2019 Spiderworms: Using Silkworms as Hosts to Produce a Hybrid Silkworm-Spider Silk Fiber Ana Laura Licon Utah State University Follow this and additional works at: https://digitalcommons.usu.edu/etd Part of the Biological Engineering Commons Recommended Citation Licon, Ana Laura, "Spiderworms: Using Silkworms as Hosts to Produce a Hybrid Silkworm-Spider Silk Fiber" (2019). All Graduate Theses and Dissertations. 7591. https://digitalcommons.usu.edu/etd/7591 This Thesis is brought to you for free and open access by the Graduate Studies at DigitalCommons@USU. It has been accepted for inclusion in All Graduate Theses and Dissertations by an authorized administrator of DigitalCommons@USU. For more information, please contact [email protected]. SPIDERWORMS: USING SILKWORMS AS HOSTS TO PRODUCE A HYBRID SILKWORM-SPIDER SILK FIBER by Ana Laura Licon A thesis submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE in Biological Engineering Approved: ______________________ ____________________ Randy Lewis, Ph.D. Ron Sims, Ph.D. Major Professor Committee Member ______________________ ____________________ Jon Takemoto, Ph.D. Richard S. Inouye, Ph.D. Committee Member Vice Provost for Graduate Studies UTAH STATE UNIVERSITY Logan, Utah 2019 ii Copyright © Ana Laura Licon 2019 All Rights Reserved iii ABSTRACT SpiderWorms: Using Silkworms as Hosts to Produce a Hybrid Silkworm-Spider Silk Fiber by Ana Laura Licon, Master of Science Utah State University, 2019 Major Professor: Dr. Randy Lewis Department: Biological Engineering Spider silk has received significant attention due to its fascinating mechanical properties. The combination of sericulture, a millennia old practice, and modern advancements in genetic engineering has given rise to an innovative biomaterial inspired by nature. -
Sensing Fluctuating Airflow with Spider Silk
Sensing fluctuating airflow with spider silk Jian Zhoua,1 and Ronald N. Milesa,1,2 aDepartment of Mechanical Engineering, Binghamton University, Binghamton, NY 13902 Edited by John G. Hildebrand, University of Arizona, Tucson, AZ, and approved September 18, 2017 (received for review June 15, 2017) The ultimate aim of flow sensing is to represent the perturbations bandwidth. Other designs seek to avoid resonances to maximize of the medium perfectly. Hundreds of millions of years of their bandwidth at the expense of sensitivity. Here we show that evolution resulted in hair-based flow sensors in terrestrial arthro- nanodimensional spider silk can overcome these adverse costs by pods that stand out among the most sensitive biological sensors following the airflow with maximum physical efficiency (Vsilk/Vair known, even better than photoreceptors which can detect a single ∼ 1) over a frequency range from infrasound to ultrasound − − photon (10 18–10 19 J) of visible light. These tiny sensory hairs can (1 Hz–50 kHz), despite the low viscosity and low density of air. move with a velocity close to that of the surrounding air at fre- The performance closely resembles that of an ideal resonant quencies near their mechanical resonance, despite the low viscos- sensor but without the usual bandwidth limitation. This finding ity and low density of air. No man-made technology to date provides a design that exceeds the performance of existing hair- demonstrates comparable efficiency. Here we show that nanodi- based flow sensors. mensional spider silk captures fluctuating airflow with maximum Results and Discussion physical efficiency (Vsilk/Vair ∼ 1) from 1 Hz to 50 kHz, providing an effective means for miniaturized flow sensing. -
Geosparql Query Tool a Geospatial Semantic Web Visual Query Tool
GeoSPARQL Query Tool A Geospatial Semantic Web Visual Query Tool Ralph Grove1, James Wilson2, Dave Kolas3 and Nancy Wiegand4 1Department of Computer Science, James Madison University, Harrisonburg, Virginia, U.S.A. 2Department of Integrated Science and Technology, James Madison University, Harrisonburg, Virginia, U.S.A. 3Raytheon BBN Technologies, Columbia, Maryland, U.S.A. 4Space Science and Engineering Center, University of Wisconsin, Madison, Wisconsin, U.S.A. Keywords: Semantic Web, Geographic Information Systems, GeoSPARQL, SPARQL, RDF. Abstract: As geospatial data are becoming more widely used through mobile devices and location sensitive applications, the potential value of linked open geospatial data in particular has grown, and a foundation is being developed for the Semantic Geospatial Web. Protocols such as GeoSPARQL and stSPARQL extend SPARQL in order to take advantage of spatial relationships inherent in geospatial data. This paper presents GeoQuery, a graphical geospatial query tool that is based on Semantic Web technologies. GeoQuery presents a map-based user interface to geospatial search functions and geospatial operators. Rather than using a proprietary geospatial database, GeoQuery enables queries against any GeoSPARQL endpoint by translating queries expressed via its graphical user interface into GeoSPARQL queries, allowing geographic information scientists and other Web users to query linked data without knowing GeoSPARQL syntax. 1 INTRODUCTION Tool (GeoQuery)1, a graphical geospatial query tool that is based on Semantic Web technologies. The Semantic Web has the potential to greatly GeoQuery translates queries expressed through its increase the usability of publicly available data by graphical user interface into GeoSPARQL queries, allowing access to open data sets in linked format which can then be executed against any over the Web.