University of Texas at El Paso
University of Texas at El Paso
Lemonia Ragia
Lemonia Ragia
e1ee864957c466ee73246921d4be73e4e8489164
Beth Driver
Beth Driver
1cecc34c75a239b61778c126643094d9b7f4266f
Semantic Execution Meets Geospatial Web Services: A Pilot Application
Semantic Execution Meets Geospatial Web Services: A Pilot Application
Geospatial web services can be enhanced with semantic web service techniques in order to solve the existing interoperability issues in the geospatial domain. Therefore a large number of services can be composed to provide meaningful results to complex geospatial queries, but as the complexity grows, the users face serious performance problems. On top of existing geospatial web services we adopt the WSMOLX framework which provides a model to define machine and human-understandable semantic descriptions, full support for mediation and a simple language to choreograph the execution of a composition of several geospatial web services. Our research focus is on the semantic execution and its performance inside the WSMX platform. Our core contributions are a) providing a solution for automated semantic execution of geospatial queries and b) providing a combination of techniques and improvements to the efficiency aspect.
Semantic execution
Abstract State Machines
WSMO/WSML/WSMX
Semantic Web Services
Geospatial applications
University of Pisa
University of Pisa
University of Münster
University of Münster
Miriam Baglioni
Miriam Baglioni
c5c17af5aa25b9f5fd539a7f342b77094b098082
Aldo Gangemi
Aldo
Gangemi
Raluca Zaharia
Raluca Zaharia
954610edc52be10c4de121b41c41f03022c315b0
University of Iowa
University of Iowa
Zhixian Yan
Zhixian Yan
19c997b045379f0d60e0f898b3b6b460332c6027
Ontology-supported Querying of Geographical Databases
GeoOntology
Natural Language Querying System
Geographical Database
Ontology-supported Querying of Geographical Databases
Geographic Information System
Natural language interface offers a good solution to the problem of querying geographical information systems from non expert users. Queries over geographical data are characterized by requests of localization and typically they use implicit spatial relations between objects. Furthermore, users can be interested in referring to some domain concept not explicitly represented in data. To handle such semantic geospatial queries, we present a methodology that translates natural language queries into spatial SQL statements on a database. This approach is driven by an ontology built upon the spatial database and enriched by general domain concepts and properties to deal with localization of objects. Some examples of the use of the methodology in the urban domain are presented.
Laboratory of Distributed Multimedia Information Systems and Applications
Laboratory of Distributed Multimedia Information Systems and Applications
University of Wisconsin-Madison
University of Wisconsin-Madison
University of Wisconsin - Madison
University of Wisconsin - Madison
Jörg Hoffman
Jörg Hoffman
2e0f3c5c74774ab6a08d9a39717f4c3dc944d78f
Advanced Systems Group
Advanced Systems Group
Francesco Tarquini
Francesco Tarquini
7138902b23d8133e2c1f2ea6e6d013951cdd6452
DERI, National University of Ireland
DERI, National University of Ireland
Dan Adams
Dan Adams
dea2a7d9db7cc8d506be1f5897c4b7e13b8b32f1
trajectory ontology
Trajectory data play an important role in analyzing real world applications that involve with movement features, especially those complex natural and social phenomena such as \emph{bird migration}, \emph{transportation management}, \emph{urban planning} and \emph{tourism}. Traditional trajectory modeling mostly focuses on the geometric information, ignoring the concealed semantic geographic and domain knowledge. As an explicit specification of a shared conceptualization, ontology becomes a popular model to provide formal data semantics for information sharing and reusing. By means of designing a set of ontologies, this paper explores a semantic methodology for modeling and querying trajectory data, to extract the hidden geographic and domain knowledge. The definition of trajectory ontologies can be given at different abstraction levels, including domain-independent geometric ones and application-specific semantic ones. In addition, we propose an evaluation framework to verify the practicability and usability of the proposed trajectory ontologies.
Trajectory Ontologies
Trajectory Ontologies
spatiotemporal
Scitor Corp
Scitor Corp
SAP Research
SAP Research
University of Illinois at Chicago
University of Illinois at Chicago
Valentina Presutti
Valentina
Presutti
Maria Masserotti
Maria Masserotti
3c75cbd8681ce39e42b4acc0a334cf235ed032d9
Stavros Christodoulakis
Stavros Christodoulakis
fdda2b740a8ae200b71c4cde681b910879b58177
Catherine Dolbear
Catherine Dolbear
5c2c07a1bb0a0ce4c63fd62714ea306794cc68d4
recommendation
TrustMap: Trust Recommendations for Maps
provenance
TrustMap: Trust Recommendations for Maps
The web is a rich environment for exchanging spatial information. When spatial information is shared in the form of images, i.e., maps, these images almost never come with meta-information about how they were generated. This kind of meta-information is often called knowledge provenance and access to this information may facilitate users to make informed decisions about the quality of maps. In this paper, we propose TrustMap, a new approach for enhancing maps with trust recommendations. For a given map, TrustMap can generate recommendations from the knowledge provenance and a network of trust relations between sources of information used to derive the map. The paper describes a TrustMap implementation as well as a qualitative evaluation of the current implementation.
trust
map understanding
University of Maine
University of Maine
Kathleen Hornsby
Kathleen Hornsby
fb680aef3e8e2ebd9354859699ea1db2221f02a5
Eliseo Clementini
Eliseo Clementini
48625e1c35297ae3eba23e08d82a834e55751863
Werner Kuhn
Werner Kuhn
9307d2a32965f1fce1eec99566f860b93c0941a1
John Goodwin
John Goodwin
4e6e5f3e9ee7afb2826133bbc3c6695d19674cc4
Stefano Spaccapietra
Stefano Spaccapietra
39b5ebe6d8defd6dc5058b43cd7c70f0ee6496eb
Michael Lutz
Michael Lutz
6b4169e940b49b0f8892e9e598b2b7b0ab633d1d
Josh Lieberman
Josh Lieberman
7496033cfd4ba3747fdec41ca9a489e30e4da269
Dave Kolas
Dave Kolas
cd8d54e1c3da5e7fb726ea5be6a9ea981fcdd554
Systems Lab, Ricoh Co, LTD
Systems Lab, Ricoh Co, LTD
KDDLab ISTI,CNR
KDDLab ISTI,CNR
semantic
Geospatial Semantic Context Capturing for Picture Annotation, Retrieval and Visualization in SPIM
Geospatial Semantic Context Capturing for Picture Annotation, Retrieval and Visualization in SPIM
spatial
ontology
context
Cameras can be very powerful sensors, enabling new user interaction metaphors and functionalities. They are not independent devices anymore and they can interoperate with external resources and services like user personal libraries, GIS systems, semantic GIS applications, semantic RFIDs, digital libraries, etc. In this paper, we present a Framework for the management of Semantic image information related to geospatial context and a system that has been built based on this Framework. Digital picture contents in the digital library can be interrelated with, and understood based on, contextual semantic geospatial information in the form of ontologies that the system manages. We describe the integrated camera system, the calculation and visualization of the contextual parameters, and the management of the semantics of the spatial objects. Finally, we present the implementation of SPIM, a picture management system that exploits spatial semantic contextual knowledge, its retrieval functionality and the visual user interfaces.
James Ressler
James Ressler
bd9ac8aa30c1ddd0a2bf700a97961bdabd0240ca
LBD-IC, EPFL - Ecole Polytechnique Federale de Lausanne
LBD-IC, EPFL - Ecole Polytechnique Federale de Lausanne
ImageMatters
ImageMatters
Jose Macedo
Jose Macedo
6337fd05696e92c1a3a52612e437c83f4fead878
University of L'Aquila
University of L'Aquila
Dataset about terracognita2008.
Tue May 03 19:04:40 CEST 2016
Emiliano Giovannetti
Emiliano Giovannetti
4c9f3163cf5ade62f7b6e7ab171e71cefaaab04f
European Commission-DG Joint Research Center
European Commission-DG Joint Research Center
Michalis Foukarakis
Michalis Foukarakis
a82a7e3d8dfa2785b6714ea17bd69ba501b2db62
Takuya Imai
Takuya Imai
8bec7af20e991cb905d58fbc94fb1dd64b6b4c44
Alejandro Castaneda
Alejandro Castaneda
de472d917e7ecdb6db1763c9c9ebdc92e2561f45
Mike Dean
Mike Dean
6006a914f7d645142fadf08d9a4e33aee98416d0
Laurentiu Vasiliu
Laurentiu Vasiliu
58c0e3d72b002b21231abbb9d803de035dfe3023
Chiara Renso
Chiara Renso
5fcb00267c18a255f0738a791e7fce3c3f67159f
ILC, CNR
ILC, CNR
Isabel Cruz
Isabel Cruz
450162ac52a51c1ed888fa843c004bbc77d8e757
Supporting Spatial Semantics with SPARQL
Supporting Spatial Semantics with SPARQL
SPARQL
Though the intersection of spatial data and semantic web technologies holds significant promise, there are still many challenges before this promise can be realized. One of these challenges is query representation. History suggests that an appropriate solution is a specialized query language for spatial data; however, with a broad interpretation of the SPARQL specification and extensions that would be useful outside the spatial realm, one can use SPARQL to query spatial concepts effectively. This paper establishes a set of desiderata for a query language capable of dealing with spatial Semantic Web-based data, discusses the challenges facing such a query language, and addresses these challenges with straightforward solutions that are broadly applicable. The effectiveness of these extensions is demonstrated using example queries.
query language
spatial
ISI-HEC, UNIL - University of Lausanne
ISI-HEC, UNIL - University of Lausanne
Harry Chen
Harry Chen
80368445d942c6e207c6694353355c3bd37f3e7a
Ordnance Survey
Ordnance Survey
Glen Hart
Glen Hart
20e382d981f723a765ea9f9541b24b22aad4ab64
Eva Klien
Eva Klien
c809069c30118fe9c165e48079ee75a01581c528
Paulo Pinheiro da Silva
Paulo Pinheiro da Silva
b6a3c19dcba51220bd64fb820607884193dbd16c
Anna Lisa Gentile
Anna Lisa
Gentile
Traverse Technologies
Traverse Technologies
National Geospatial-Intelligence Agency
National Geospatial-Intelligence Agency
Max Egenhofer
Max Egenhofer
102c446b2de82962ce190a751971ba6a95eb3942
RDF
geographic data
Geographical Linked Data: The Administrative Geography of Great Britain on the Semantic Web
Geographical Linked Data: The Administrative Geography of Great Britain on the Semantic Web
linked data
administrative geography
Semantic Web
The national mapping agency of Great Britain, Ordnance Survey, is investigating how semantic web technologies assist its role as a geographical information provider. A major part of this work involves the development of prototype products and datasets in RDF. This paper discusses the production of an example dataset for the administrative of Great Britain demonstrating the benefits of explicitly encoding topological relations between geographic entities over traditional spatial queries. We also outline how this data can be linked to other datasets on the Linked Data Web and some of the challenges that this produces.
Laura Spinsanti
Laura Spinsanti
c6fb6716e5ea43e61c6105f53a55dc566f373c6e
Angela Schwering
Angela Schwering
8dc2492cfe8e58028e9730c84462cefd93596081
Andrea Giovanni Nuzzolese
Andrea Giovanni
Nuzzolese
Gary Berg-Cross
Gary Berg-Cross
8dd42769398b53b1cb558d91f70c01e2ba91f5e5
Nicholas Del Rio
Nicholas Del Rio
9fbb20cd0da82247f71efaec8a3131b778f16eff
Christine Parent
Christine Parent
c23ac5c0e8afd147d9a257400568d09cb6b87edd
The quality and integrity of spatial data is very important to support interoperability among different systems. To reach this aim integrity rules defined by the application play an important role (for example, constraints between object classes). In the paper, we propose a methodology to define integrity constraints using user level spatial relations between classes of individuals. We will also provide mapping rules from user level relations to geometric level operators to allow the computation of relations. As a case study, we will define the constraints for the class of rivers and some of its specializations.
integrity constraints
spatial ontology
Spatial Relations between Classes as Integrity Constraints
user spatial relations
class relations
Spatial Relations between Classes as Integrity Constraints
Fraunhofer Institute for Computer Graphics Research
Fraunhofer Institute for Computer Graphics Research
Nancy Wiegand
Nancy Wiegand
e8118a298ce1fad96098f13a97181f0d72b8376c
Vladik Kreinovich
Vladik Kreinovich
cbe31f898e1067701852f81a81e1d1a094c3659d
Engineering Management and Integration
Engineering Management and Integration
Engineering Management & Integration, USA
Engineering Management & Integration, USA
Hiroaki Uchiyama
Hiroaki Uchiyama
b3be77a5f14aaed9d86d6065b9d3b6a900b8cf6f
Northrop Grumman
Northrop Grumman
BBN Technologies
BBN Technologies
University of Osnabrück
University of Osnabrück