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--- public:projects [2016/09/08 23:10]
clodoveu [LoG - a Linked OntoGazetteer]
+++ public:projects [2017/06/22 02:36]
lizardo [ThemeRise]
@@ Line 12: / Line 12: @@
 [[http://aqui.io/geosql/|GeoSQL+]] is an online tool that allows posting SQL queries to a geographic database manager and visualizing the results as both tables and maps. Visual results can be accumulated and interactively manipulated, composing layers with user-configurable presentation that simulate
 the operation of geographic information systems. GeoSQL+ intends to support teaching spatial databases to students and professionals from Computer Science and other areas, such as geosciences, urbanism, and engineering. View it on GitHub [[https://github.com/lab-csx-ufmg/geosql|{{public:github-mark-32px.png?20}}]]
+===== AST-PostGIS =====
+The AST-PostGIS is an extension for PostgreSQL/PostGIS that incorporates advanced spatial data types and implements spatial integrity constraints. The extension reduces the distance between the conceptual and the physical designs of spatial databases, by providing richer representations for geo-object and geo-field geometries. It also offers procedures to assert the consistency of spatial relationships during data updates. Such procedures can also be used before enforcing spatial integrity constraints for the first time. View it on GitHub [[https://github.com/lab-csx-ufmg/ast_postgis|{{public:github-mark-32px.png?20}}]]
@@ Line 25: / Line 30: @@
 ===== LoG - a Linked OntoGazetteer =====
-Gazetteers are instrumental in recognizing place names in documents such as Web pages, news, and social media messages. However, creating and maintaining gazetteers is still a complex and demanding task. We propose using Linked Data sources to put together gazetteer data that can be both broad (e.g. planetary) and deep (e.g., down to urban detail). Linked data sources also allow enriching the resulting gazetteer with a set of geographic and semantic relationships involving place names, other geographic and non-geographic terms, thus expanding the possibilities for solving typical GIR problems such as disambiguation and filtering. This work shows the results of efforts to compose and maintain an ontological gazetteer, in which places and their names are connected to other places and to non-geographic entities through geographic and semantic relationships. The objective of this proposal is to create, organize and populate a large ontological gazetteer with information obtained from the Web of Data, to be exposed as a Web service to applications and research initiatives on geographic information retrieval, text processing, named entity recognition and others. The resulting gazetteer contains more than 13 million places, extracted from the four datasets used in this work: GeoNames, Freebase, DBPedia and LinkedGeoData. In addition, we present an analysis of how the datasets overlap one another.
+Gazetteers are instrumental in recognizing place names in documents such as Web pages, news, and social media messages. However, creating and maintaining gazetteers is still a complex and demanding task. We propose using Linked Data sources to put together gazetteer data that can be both broad (e.g. planetary) and deep (e.g., down to urban detail). Linked data sources also allow enriching the resulting gazetteer with a set of geographic and semantic relationships involving place names, other geographic and non-geographic terms, thus expanding the possibilities for solving typical GIR problems such as disambiguation and filtering. This work shows the results of efforts to compose and maintain an ontological gazetteer, in which places and their names are connected to other places and to non-geographic entities through geographic and semantic relationships. The objective of this proposal is to create, organize and populate a large ontological gazetteer with information obtained from the Web of Data, to be exposed as a Web service to applications and research initiatives on geographic information retrieval, text processing, named entity recognition and others. The resulting gazetteer ([[http://aqui.io/log/|LoG]]) contains more than 13 million places, extracted from the four datasets used in this work: GeoNames, Freebase, DBPedia and LinkedGeoData. In addition, we present an analysis of how the datasets overlap one another.
 ===== ThemeRise =====
+Since the resources associated with the Web 2.0 allowed people to publish content produced by themselves, there have been initiatives to gather geographic information produced by volunteers. In this model of crowdsourcing, citizens are seen as spatially distributed “sensors”, able to collect different data types through Web applications. However, challenges related to spatial coverage, quality and motivation of volunteers require creative and diversified solutions for the development of data collection instruments. [[http://aqui.io/themerise/|ThemeRise]] is a framework for generating such instruments, designed to allow administrators to choose between multiple functions to gather information and alternatives to spatially represent events, phenomena and geographic objects. The framework also provides resources to recognize and value the participation of volunteers. The creation of resources for collecting information on multiple themes can be made interactively in a Web browser, without no need for programming. Please see the [[public:themerise-tutorial|tutorial]] for further information on how to use the ThemeRise.

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