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With the growing availability of geo-referenced information on the Web, the problem of spatial information overload has attracted interest both in the commercial and academic world. In order to tackle this issue, personalisation techniques can be used to tailor spatial contents based upon user interests. RecoMap, the system described in this paper, deducts(More)
In recent years, the proliferation of Volunteered Geographic Information (VGI) has enabled many Internet users to contribute to the construction of rich and increasingly complex spatial datasets. This growth of geo-referenced information and the often loose semantic structure of such data have resulted in spatial information overload. For this reason, a(More)
In recent years, a web phenomenon known as Volunteered Geographic Information (VGI) has produced large crowdsourced geographic data sets. OpenStreetMap (OSM), the leading VGI project, aims at building an open-content world map through user contributions. OSM semantics consists of a set of properties (called ‘tags’) describing geographic classes, whose usage(More)
Over the past decade, rapid advances in web technologies, coupled with innovative models of spatial data collection and consumption, have generated a robust growth in geo-referenced information, resulting in spatial information overload. Increasing 'geographic intelligence' in traditional text-based information retrieval has become a prominent approach to(More)
A cognitively plausible measure of semantic similarity between geographic concepts is valuable across several areas, including geographic information retrieval, data mining, and ontology alignment. Semantic similarity measures are not intrinsically right or wrong, but obtain a certain degree of cognitive plausibility in the context of a given application. A(More)
Volunteered geographic information (VGI) is generated by heterogenous 'informa-tion communities' that cooperate to produce reusable units of geographic knowledge. A consensual lexicon is a key factor to enable this open production model. Lexical definitions help demarcate the boundaries of terms, forming a thin semantic ground on which knowledge can travel.(More)
In recent years, the linked open data (LOD) paradigm has emerged as a promising approach to structuring, publishing, and sharing data online, using Semantic Web standards. From a geospatial perspective , one of the key challenges consists of bridging the gap between the vast amount of crowdsourced, semi-structured or unstructured geo-information and the(More)
In recent years, geographic information has entered the mainstream , deeply altering the pre-existing patterns of its production, distribution , and consumption. Through web mapping, millions of online users utilise spatial data in interactive digital maps. The typical unit of visualisation of geo-data is a viewport, defined as a bi-dimensional image of a(More)
A growing corpus of online informal reviews is generated every day by non-experts, on social networks and blogs, about an unlimited range of products and services. Users do not only express holistic opinions, but often focus on specific features of their interest. The automatic understanding of “what people think” at the feature level can greatly support(More)
Computational measures of semantic similarity between geographic terms provide valuable support across geographic information retrieval, data mining, and information integration. To date, a wide variety of approaches to geo-semantic similarity have been devised. A judgement of similarity is not intrinsically right or wrong, but obtains a certain degree of(More)