Results 11 to 20 of about 77 (58)
Text‐analysis reveals taxonomic and geographic disparities in animal pollination literature
Ecological systematic reviews and meta‐analyses have significantly increased our understanding of global biodiversity decline. However, for some ecological groups, incomplete and biased datasets have hindered our ability to construct robust, predictive models. One such group consists of the animal pollinators.
Joseph W. Millard +2 more
wiley +1 more source
Approaches to disambiguating toponyms [PDF]
Many approaches have been proposed in recent years in the context of Geographic Information Retrieval (GIR), mostly in order to deal with geographically constrained information in un-structured texts. Most of these approaches share a common scheme: in order to disambiguate a toponym t with n ...
openaire +2 more sources
Are nearby places (e.g., cities) described by related words? In this article, we transfer this research question in the field of lexical encoding of geographic information onto the level of intertextuality. To this end, we explore Volunteered Geographic Information (VGI) to model texts addressing places at the level of cities or regions with the help ...
Alexander Mehler +5 more
wiley +1 more source
Human spatial concepts, such as the concept of place, are not immediately translatable to the geometric foundations of spatial databases and information systems developed over the past 50 years. These systems typically rest on the concepts of objects and fields, both bound to coordinates, as two general paradigms of geographic representation. The match
Ross S. Purves +2 more
wiley +1 more source
Toponym Disambiguation in Information Retrieval [PDF]
In recent years, geography has acquired a great importance in the context of Information Retrieval (IR) and, in general, of the automated processing of information in text. Mobile devices that are able to surf the web and at the same time inform about their position are now a common reality, together with applications that can exploit this data to ...
openaire +2 more sources
Improving Toponym Disambiguation by Iteratively Enhancing Certainty of Extraction.
Named entity extraction (NEE) and disambiguation (NED) have received much attention in recent years. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. This paper addresses two problems with toponym extraction and disambiguation (as a representative example of named entities).
Habib, Mena Badieh, van Keulen, Maurice
openaire +3 more sources
Abstract Misconceptions about the ethnolinguistic relationship between Haiti and Louisiana persist to the present. Central to this debate is whether Louisiana Creole (LC) is a variety of French, an independent language, or a variant of the better‐known and more widely spoken Haitian Creole (HC). In this paper, I present data from residents of Louisiana
Nathan A. Wendte
wiley +1 more source
Resolving fine granularity toponyms: Evaluation of a disambiguation approach [PDF]
We present an approach of toponym disambiguation specialised on toponyms of fine spatial granularity. State of the art disambiguation approaches have manly focused on toponyms referring to populated places where a priori toponym knowledge is available for instance from gazetteers.
Derungs Curdin +2 more
openaire +1 more source
Increased Significance of Global Concurrent Hazards From 1981 to 2020
Abstract The spatiotemporal overlap of multiple hazards defines what we call concurrent hazards, which usually cause more severe damage than what an isolated hazard would. Investigations of concurrent hazards at the global scale are limited. Here we first developed a novel criterion system for identifying concurrent hazards and then recognized 1,614 ...
Yilei Xu +9 more
wiley +1 more source
Mapping cognitive place associations within the United Kingdom through online discussion on Reddit
Short Abstract This paper explores cognitive place associations; conceptualised as a place‐based mental model that derives subconscious links between geographic locations. Utilising a large corpus of online discussion data from the social media website Reddit, we experiment on the extraction of such geographic knowledge from unstructured text.
Cillian Berragan +3 more
wiley +1 more source

