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E-grāmata: Geographical Information Retrieval in Textual Corpora [Wiley Online]

  • Formāts: 142 pages
  • Sērija : Focus Series
  • Izdošanas datums: 26-Jul-2013
  • Izdevniecība: ISTE Ltd and John Wiley & Sons Inc
  • ISBN-10: 1118790111
  • ISBN-13: 9781118790113
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  • Wiley Online
  • Cena: 168,05 €*
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Geographical Information Retrieval in Textual CorporaPalielināt
  • Formāts: 142 pages
  • Sērija : Focus Series
  • Izdošanas datums: 26-Jul-2013
  • Izdevniecība: ISTE Ltd and John Wiley & Sons Inc
  • ISBN-10: 1118790111
  • ISBN-13: 9781118790113
Citas grāmatas par šo tēmu:
Wiley Online E-booksMore info about Wiley Online
Rokasgrāmatas mājas lapa: https://onlinelibrary.wiley.com/doi/book/10.1002/9781118790113

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.

Foreword ix
Christophe Claramunt
Acknowledgments xi
Introduction xiii
Chapter 1 Access by Geographic Content to Textual Corpora: What Orientations?
1(16)
1.1 Introduction
1(1)
1.2 Access by geographic content to textual corpora
1(6)
1.2.1 Document retrieval and textual corpora
2(1)
1.2.2 Textual corpora with "territorial" denotations
2(4)
1.2.3 Access to textual content
6(1)
1.3 Reinforcement of GIR by contributions from NLP, reasoning and multicriteria IR
7(2)
1.4 Toward the construction of a multicriteria IR engine
9(8)
1.4.1 Challenges, hypotheses and research objectives
10(1)
1.4.2 Approach
11(2)
1.4.3 Applications
13(4)
Chapter 2 Spatial and Temporal Information Retrieval in Textual Corpora
17(36)
2.1 Introduction
17(1)
2.2 Review of challenges, hypotheses and research objectives
18(1)
2.3 Spatial and temporal information in textual documents: literature review
19(16)
2.3.1 Geographic information in text and IR
19(1)
2.3.2 Named entities
19(2)
2.3.3 Modeling languages
21(3)
2.3.4 Reasoning
24(2)
2.3.5 Linguistic processing
26(1)
2.3.6 GIR: systems and similarity measure models
27(4)
2.3.7 Evaluation campaigns, corpora and resources
31(3)
2.3.8 Summary
34(1)
2.4 Proposition for spatial and temporal information indexing and retrieval in textual corpora
35(12)
2.4.1 Reminder and focus on the notion of space and time in "heritage" corpora
35(1)
2.4.2 Core spatial model and core temporal model
36(1)
2.4.3 Spatial and temporal relations
37(2)
2.4.4 Spatial and temporal indexing process flows: PIV prototype
39(3)
2.4.5 Spatial and temporal IR: PIV prototype
42(3)
2.4.6 Evaluation and discussion
45(2)
2.5 Summary
47(6)
2.5.1 Contributions
47(2)
2.5.2 Perspectives
49(4)
Chapter 3 Multicriteria Information Retrieval in Textual Corpora
53(34)
3.1 Introduction
53(1)
3.2 Review of challenges, hypotheses and research objectives
54(2)
3.3 Standardization and combination of criteria: literature review
56(9)
3.3.1 Criterion standardization
56(2)
3.3.2 Combination of criteria
58(6)
3.3.3 Summary and positioning of a partially compensatory GIR
64(1)
3.4 Proposition for indexing by tiling and multicriteria IR in textual corpora
65(12)
3.4.1 Standardization by tiling
65(5)
3.4.2 Spatial and temporal IR applied to tiling: PIV2
70(2)
3.4.3 Multicriteria IR applied to tiling: PIV3
72(5)
3.5 Evaluation and discussion
77(7)
3.5.1 Evaluation framework of geographic IRSs: proposal for a test collection and an experimental protocol
78(1)
3.5.2 Evaluation of the spatial and temporal IR applied to tiling
79(2)
3.5.3 Evaluation of the multicriteria IR applied to tiling
81(3)
3.6 Summary
84(3)
3.6.1 Contributions
84(2)
3.6.2 Perspectives
86(1)
Chapter 4 General Conclusion
87(18)
4.1 Summary
87(3)
4.1.1 Contributions to the access by geographic content to textual corpora
87(1)
4.1.2 Spatial and temporal IR in texts
88(1)
4.1.3 Multicriteria IR in texts
89(1)
4.2 Perspectives
90(15)
4.2.1 Intradimensional axis
92(5)
4.2.2 Interdimensional axis
97(6)
4.2.3 Expansion of the vocabulary for a qualitative representation of the geographic dimensions
103(2)
Bibliography 105(18)
Index 123
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.
Permanent link: https://www.kriso.lv/db/9781118790113_pe.html
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