Geographical Information Retrieval in Textual Corpora

Nonfiction, Science & Nature, Science, Earth Sciences, Geography
Cover of the book Geographical Information Retrieval in Textual Corpora by Christian Sallaberry, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Christian Sallaberry ISBN: 9781118790182
Publisher: Wiley Publication: July 25, 2013
Imprint: Wiley-ISTE Language: English
Author: Christian Sallaberry
ISBN: 9781118790182
Publisher: Wiley
Publication: July 25, 2013
Imprint: Wiley-ISTE
Language: English

This book addresses the field of geographic information extraction and retrieval from textual documents. Geographic information retrieval is a rapidly emerging subject, a trend fostered by the growing power of the Internet and the emerging possibilities of data dissemination.
After positioning his work in this field in Chapter 1, the author makes proposals in the following two chapters. Chapter 2 focuses on spatial and temporal information indexing and retrieval in corpora of textual documents. Propositions for both spatial and temporal information retrieval (IR) are made. Chapter 3 tackles the use of generalized spatial and temporal indexes, which are produced from there in the framework of multi-criteria IR. Geographic IR (GIR) is discussed at length, since this IR combines the criteria of spatial, temporal and thematic research.
The author provides a rich bibliographical study of the current approaches focused on the modeling and retrieval of spatial and temporal information in textual documents, and similarity measures developed thus far in the literature.
The book concludes with a broad perspective of the remaining scientific challenges. Several areas of research are discussed, such as integration of a domain-based ontology, modeling of spatial footprints from the interpretation of spatial relation, and parsing of relations between features deemed relevant within a document resulting from a GIR process.

Contents

Foreword, Christophe Claramunt.

  1. Access by Geographic Content to Textual Corpora: What Orientations ?
  2. Spatial and Temporal Information Retrieval in Textual Corpora.
  3. Multicriteria Information Retrieval in Textual Corpora.
  4. General Conclusion.

About the Authors

Christian Sallaberry is currently Assistant Professor at the Law, Economics and Management Faculty in Pau, France. His current research interests are in the fields of geographical information retrieval (GIR) in textual corpora: spatial, temporal and thematic information recognition, analyzing, indexing and retrieval. He is interested in spatial, temporal and thematic criteria combinations within a GIR process.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book addresses the field of geographic information extraction and retrieval from textual documents. Geographic information retrieval is a rapidly emerging subject, a trend fostered by the growing power of the Internet and the emerging possibilities of data dissemination.
After positioning his work in this field in Chapter 1, the author makes proposals in the following two chapters. Chapter 2 focuses on spatial and temporal information indexing and retrieval in corpora of textual documents. Propositions for both spatial and temporal information retrieval (IR) are made. Chapter 3 tackles the use of generalized spatial and temporal indexes, which are produced from there in the framework of multi-criteria IR. Geographic IR (GIR) is discussed at length, since this IR combines the criteria of spatial, temporal and thematic research.
The author provides a rich bibliographical study of the current approaches focused on the modeling and retrieval of spatial and temporal information in textual documents, and similarity measures developed thus far in the literature.
The book concludes with a broad perspective of the remaining scientific challenges. Several areas of research are discussed, such as integration of a domain-based ontology, modeling of spatial footprints from the interpretation of spatial relation, and parsing of relations between features deemed relevant within a document resulting from a GIR process.

Contents

Foreword, Christophe Claramunt.

  1. Access by Geographic Content to Textual Corpora: What Orientations ?
  2. Spatial and Temporal Information Retrieval in Textual Corpora.
  3. Multicriteria Information Retrieval in Textual Corpora.
  4. General Conclusion.

About the Authors

Christian Sallaberry is currently Assistant Professor at the Law, Economics and Management Faculty in Pau, France. His current research interests are in the fields of geographical information retrieval (GIR) in textual corpora: spatial, temporal and thematic information recognition, analyzing, indexing and retrieval. He is interested in spatial, temporal and thematic criteria combinations within a GIR process.

More books from Wiley

Cover of the book 10 Virtues of Outstanding Leaders by Christian Sallaberry
Cover of the book Self Managed Superannuation Fund Handbook by Christian Sallaberry
Cover of the book The Myth of Media Globalization by Christian Sallaberry
Cover of the book Plant Defense by Christian Sallaberry
Cover of the book The Complete Guide to Buying and Owning a Recreational Property in Canada by Christian Sallaberry
Cover of the book It's Who You Know by Christian Sallaberry
Cover of the book Overcoming Depression For Dummies by Christian Sallaberry
Cover of the book Pocket Guide to Echocardiography by Christian Sallaberry
Cover of the book Political Scandal by Christian Sallaberry
Cover of the book Tax For Small Business by Christian Sallaberry
Cover of the book Healthcare Simulation Education by Christian Sallaberry
Cover of the book Primary Health Care by Christian Sallaberry
Cover of the book Teach Like a Champion 2.0 by Christian Sallaberry
Cover of the book Creative Industries in China by Christian Sallaberry
Cover of the book Nanocatalysis in Ionic Liquids by Christian Sallaberry
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy