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An agenda for the next generation gazetteer: Geographic information contribution and retrieval
- In International Conference on Advances in Geographic Information Systems 2009 (ACM SIGSPATIAL GIS 2009
, 2009
"... Gazetteers are key components of georeferenced information systems, including applications such as Web-based mapping services. Existing gazetteers lack the capabilities to fully integrate user-contributed and vernacular geographic information, as well as to support complex queries. To address these ..."
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Cited by 24 (10 self)
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Gazetteers are key components of georeferenced information systems, including applications such as Web-based mapping services. Existing gazetteers lack the capabilities to fully integrate user-contributed and vernacular geographic information, as well as to support complex queries. To address these issues, a next generation gazetteer should leverage formal semantics, harvesting of implicit geographic information – such as geotagged photos – as well as models of trust for contributors. In this paper, we discuss these requirements in detail. We elucidate how existing standards can be integrated to realize a gazetteer infrastructure allowing for bottom-up contribution as well as information exchange between different gazetteers. We show how to ensure the quality of user-contributed information and demonstrate how to improve querying and navigation using semantics-based information retrieval.
Semantic challenges for sensor plug and play
- Wireless Geographical Information Systems (W2GIS 2009), 7 & 8 December 2009
, 2009
"... Abstract. The goal of the Sensor Web Enablement (SWE) initiative of the Open Geospatial Consortium (OGC) is the definition of web service interfaces and data encodings to make sensors discoverable, taskable and accessible on the World Wide Web. The SWE specifications enable a standardized communicat ..."
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Abstract. The goal of the Sensor Web Enablement (SWE) initiative of the Open Geospatial Consortium (OGC) is the definition of web service interfaces and data encodings to make sensors discoverable, taskable and accessible on the World Wide Web. The SWE specifications enable a standardized communication and interaction with arbitrary types of sensors and sensor systems. The central concepts within OGC’s Sensor Web architecture are sensors, observations and features of interest. Sensors and their observations can be registered and stored through the Sensor Observation Service (SOS) to make them accessible for clients. So far, mechanisms are missing which support a semantic matching between features of interest stored in a database and referred to by an observation. The same applies for the matching between observations as sensor outputs and the properties of the features of interest. By taking a use case from disaster management, we outline the challenges and demonstrate how semantically annotated SWE data models and service interfaces support semantic matching. The result is a roadmap towards a semantically enabled sensor plug & play within the Sensor Web. 1
GeoWordNet: A Resource for Geo-spatial Applications
- in: The Semantic Web: Research and Applications, 7th Extended Semantic Web Conference, ESWC 2010, Heraklion
"... Conference (ESWC) 2010. GeoWordNet: a resource for geo-spatial applications ..."
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Conference (ESWC) 2010. GeoWordNet: a resource for geo-spatial applications
Sensor Discovery on Linked Data
"... Abstract. There has been a drive recently to make sensor data accessible on the Web. However, because of the vast number of sensors collecting data about our environment, finding relevant sensors on the Web is a non-trivial challenge. In this paper, we present an approach to discovering sensors thro ..."
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Cited by 4 (0 self)
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Abstract. There has been a drive recently to make sensor data accessible on the Web. However, because of the vast number of sensors collecting data about our environment, finding relevant sensors on the Web is a non-trivial challenge. In this paper, we present an approach to discovering sensors through a standard service interface over Linked Data. This is accomplished with a semantic sensor network middleware that includes a sensor registry on Linked Data and a sensor discovery service that extends the OGC Sensor Web Enablement. With this approach, we are able to access and discover sensors that are positioned near named-locations of interest.
Comparing Vocabularies for Representing Geographical Features and Their Geometry
"... Abstract. The need for geolocation is crucial for many applications for both human and software agents. More and more data is opened and interlinked using Linked Data principles, and it is worth modeling geographic data efficiently by reusing as much as possible from existing ontologies or vocabular ..."
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Abstract. The need for geolocation is crucial for many applications for both human and software agents. More and more data is opened and interlinked using Linked Data principles, and it is worth modeling geographic data efficiently by reusing as much as possible from existing ontologies or vocabularies that describe both the geospatial features and their shapes. In this paper, we survey different modeling approaches used by the Geographic Information System (GIS) and the Linked Open Data (LOD) communities. Our aim is to contribute to the actual efforts in representing geographic objects with attributes such as location, points of interest (POI) and addresses in the web of data. We focus on the French territory and we provide examples of representative vocabularies that can be used for describing geographic objects. We propose some alignments between various vocabularies (DBpedia, Geonames, Schema.org, Linked-GeoData, Foursquare, etc.) in order to enable interoperability while interconnecting French geodata with other datasets. We tackle the complex geometry representation issues in the Web of Data, describing the state of implementations of geo-spatial functions in triple stores and comparing them to the new GeoSPARQL standard. We conclude with some challenges to be taken into account when dealing with the descriptions of complex geometries.
Modeling Geometry and Reference Systems on the Web of Data
"... Abstract. For many years now, the Web of data has been dominated with the use of only one Coordinates Reference System (CRS), namely WGS84, to represent the location of geographical features on Earth. In this paper, we propose two vocabularies that take into account ge-ometries defined in different ..."
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Abstract. For many years now, the Web of data has been dominated with the use of only one Coordinates Reference System (CRS), namely WGS84, to represent the location of geographical features on Earth. In this paper, we propose two vocabularies that take into account ge-ometries defined in different CRS. We provide as well mappings with existing vocabularies to ensure compatibilities with existing implemen-tations. Finally, we describe a REST service that supports the conversion of coordinates between several CRS.
Implantation of OGC geoprocessing services for Geoscience
"... This paper presents an investigation about the availability of standard geoprocessing services and its use in the geosciences domain. To do that, the web has been crawled in March 2011 to find the servers available conforming to the Web Processing Service interface specification published by the geo ..."
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This paper presents an investigation about the availability of standard geoprocessing services and its use in the geosciences domain. To do that, the web has been crawled in March 2011 to find the servers available conforming to the Web Processing Service interface specification published by the geospatial standards organization Open Geospatial Consortium (OGC), which gives support to standard Web-based geoprocessing. The research goals are (i) to provide a reality check of the availability of Web Processing Service servers, (ii) to provide quantitative data about the use of different features defined in the standard that are relevant for a scalable Geoprocessing Web (e.g. long-running processes, Web-accessible data outputs), and (iii) to test the capability for finding Web services in the geoscience domain.
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"... Abstract — When searching for sensor data, sensor instances, or Sensor Web Enablement (SWE) services the description of the observed phenomenon plays an important role. Obviously, every user searching for sensor data needs to specify in which kind of sensor data he is interested. In current SWE appl ..."
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Abstract — When searching for sensor data, sensor instances, or Sensor Web Enablement (SWE) services the description of the observed phenomenon plays an important role. Obviously, every user searching for sensor data needs to specify in which kind of sensor data he is interested. In current SWE applications, the information about the observed phenomenon is provided as a unique link encoded as a Uniform Resource Name (URN). However, relying on those URNs to perform string based search for sensor observables has serious drawbacks when it comes to realizing advanced sensor discovery tools as the meaning of the observables is ignored. This work presents an approach that makes use of semantic annotations of SWE resources. The presented solution relies on a dictionary for sensor observables, the Sensor Observable Registry (SOR). This dictionary comprises URNs identifying observables, definitions of these observables in natural language, and pointers to formal phenomenon definitions contained in ontologies. This makes it possible to rely on existing reasoning mechanisms for determining equivalent or related observables (e.g., specializations or generalizations) to the one specified by a user. Finally, an approach is presented, how the SOR can be used for enhancing the sensor discovery process by linking it to sensor catalogues and registries.
Sensor Discovery on Linked Data
"... Abstract. There has been a drive recently to make sensor data accessible on the Web. However, because of the vast number of sensors collecting data about our environment, finding relevant sensors on the Web is a non-trivial challenge. In this paper, we present an approach to discovering sensors thro ..."
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Abstract. There has been a drive recently to make sensor data accessible on the Web. However, because of the vast number of sensors collecting data about our environment, finding relevant sensors on the Web is a non-trivial challenge. In this paper, we present an approach to discovering sensors through a standard service interface over Linked Data. This is accomplished with a semantic sensor network middleware that includes a sensor registry on Linked Data and a sensor discovery service that extends the OGC Sensor Web Enablement. With this approach, we are able to access and discover sensors that are positioned near named-locations of interest.