Geographical information retrieval

  title={Geographical information retrieval},
  author={Christopher B. Jones and Ross Purves},
  journal={International Journal of Geographical Information Science},
  pages={219 - 228}
Geographical information is recorded in a wide variety of media and document types. There are innumerable paper‐based books, reports, images and maps, and there are computer databases and digital m... 

How Can Geographic Information in Text Documents be Visualized to Support Information Exploration in the Humanities?

This work tackles the information access problem from a geographic information science perspective by identifying and selecting interesting and relevant information in large online digital text archives.

Towards a toolbox to map historical text collections

This article presents an effort to integrate spatial and textual data processing tools into a modular software package which features preprocessing, geocoding, disambiguation and visualization.

Geographic Information Retrieval Method for Geography Mark-Up Language Data

This study designs several different retrieval forms for GML data and simplifies the process of user information acquisitions and provides reference methods for exploring geographical information retrieval based on semi-structured data represented by GML.

Knowledge-based and data-driven approaches for geographical information access

This thesis attempts to improve the effectiveness results of GeoIA tasks by improving the detection, understanding, and use of a part of the geographical and the thematic content of queries and documents with Toponym Recognition, Toponym Disambiguation and Natural Language Processing (NLP) techniques.

Assigning geographical focus to documents

The authors present the proposed algorithm with detailed principle and steps, which is conceived based on hierarchical structure of placenames within the documents for retrieval based on SASEIC (Spatial-Aware Search Engine in Chinese), a GIR prototype System implemented for the convenience of research in GIR field.

Retrieval of visiting paths through relevant resources and services for enabling smart communities

A Smart community-based Geographic infoRmation rEtrievAl SysTem (SO-GREAT) that collects and manages heterogeneous georeferenced data about both authoritative resources and services offered by volunteers is described.

Digital Libraries Applications: CBIR, Education, Social Networks, eScience/Simulation, and GIS

This paper presents a meta-modelling framework for cataloging and cataloging social networks in digital libraries and some examples show how social networks have changed over the years have changed the role of photojournalism in society.

An Efficient Methodology for Resolving Uncertain Spatial References in Text Documents

The Fuzzy Extraction, Resolving, and Clustering (FERC) architecture is proposed which uses fuzzy logic techniques to identify and cluster uncertain textual spatial reference.

An Ontological Gazetter for Geographic Information Retrieval

The ontological gazetteer will not only identify the names of places, but also record concepts and terms related to a place, as in an ontology in which concepts are the main places and features.



Adding geographic scopes to web resources

Multi-Dimensional Scattered Ranking Methods for Geographic Information Retrieval*

This paper introduces multi-dimensional scattered ranking, where textually and spatially similar documents are ranked spread in the list, instead of consecutively, so that documents close together in the ranked list have less redundant information.

Georeferencing: The Geographic Associations of Information (Digital Libraries and Electronic Publishing)

Reading georeferencing the geographic associations of information digital libraries and electronic publishing series is also a way as one of the collective books that gives many advantages.

Judging spatial relevance and document location for Geographic Information Retrieval

SPIRIT is a prototype spatially-aware search engine designed to deal with queries relevant to queries which include some geographical context by considering not only the textual content of documents, but also assigning multiple geographic footprints to all toponyms identified within document text.

A confidence-based framework for disambiguating geographic terms

We describe a purely confidence-based geographic term disambiguation system that crucially relies on the notion of "positive" and "negative" context and methods for combining confidence-based

The design and implementation of SPIRIT: a spatially aware search engine for information retrieval on the Internet

Methods allowing users to query and explore results which have been relevance‐ranked in terms of both thematic and spatial relevance have been implanted and a usability study indicates that users are happy with the range of spatial relationships available and intuitively understand how to use such a search engine.

Web-based delineation of imprecise regions

Georeferencing: The geographic associations of information

This text offers a cogent introduction to the concepts, history, and future directions of incorporating geographic information into a wide range of topics and disciplines by drawing heavily on cognitive psychology to better understand current thinking on how humans perceive and order geographic space.

Georeferencing - The Geographic Associations of Information

  • L. Hill
  • Environmental Science
    Digital libraries and electronic publishing
  • 2009
Georeferencing will be a valuable reference for librarians, archivists, scientific data managers, information managers, designers of online services, and any information professional who deals with place-based information.

Toward the semantic geospatial web

By explicitly representing the role of semantics in different components of the information retrieval process (people, interfaces, search systems, and information resources), the Semantic Geospatial Web will enable users to retrieve more precisely the data they need, based on the semantics associated with these data.