Spatio-textual Indexing for Geographical Search on the Web

Vaid, Subodh; Jones, Christopher B.; Joho, Hideo; Sanderson, Mark

doi:10.1007/11535331_13

Cited by 142 publications

(118 citation statements)

References 11 publications

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“…Future improvement of the presented approach would be to explore how to combine normalized spatial, temporal and thematic indexes and compute a unique relevancy scoring. Merging results for a geographic IR approach combining such different criteria is a recurring research question nowadays (Martins et al, 2008, Vaid et al, 2005.…”

Section: Ongoing and Future Workmentioning

confidence: 99%

Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries

Palacio

Sallaberry

Gaio

2012

Lecture Notes in Geoinformation and Cartography

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ABSTRACT:Our contribution is dedicated to geographic information contained in unstructured textual documents. The main focus of this article is to propose a general indexing strategy that is dedicated to spatial information, but which could be applied to temporal and thematic information as well. More specifically, we have developed a process flow that indexes the spatial information contained in textual documents. This process flow interprets spatial information and computes corresponding accurate footprints. Our goal is to normalize such heterogeneous grained and scaled spatial information (points, polylines, polygons). This normalization is carried out at the index level by grouping spatial information together within spatial areas and by using statistics to compute frequencies for such areas and weights for the retrieved documents.

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Section: Ongoing and Future Workmentioning

confidence: 99%

Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries

Palacio

Sallaberry

Gaio

2012

Lecture Notes in Geoinformation and Cartography

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“…The papers about the SPIRIT (Spatially-Aware Information Retrieval on the Internet) project [13 17] are a very good starting point. In [16], the authors conclude that keeping separate text and spatial indexes, instead of combining both in one, results in less storage costs but it could lead to higher response times. More recent works can be broadly classi ed into two categories depending on how they combine textual and spatial indexes.…”

Section: Related Workmentioning

confidence: 99%

Exploiting geographic references of documents in a geographical information retrieval system using an ontology-based index

et al. 2010

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Both Geographic Information Systems and Information Retrieval have been very active research elds in the last decades. Lately, a new research eld called Geographic Information Retrieval has appeared from the intersection of these two elds.The main goal of this eld is to de ne index structures and techniques to e ciently store and retrieve documents using both the text and the geographic references contained within the text. We present in this paper two contributions to this research eld. First, we propose a new index structure that combines an inverted index and a spatial index based on an ontology of geographic space. This structure improves the query capabilities of other proposals. Then, we describe the architecture of a system for geographic information retrieval that de nes a work ow for the extraction of the geographic references in documents. The architecture also uses the index structure that we propose to solve pure spatial and textual queries as well as hybrid queries that combine both a textual and a spatial component. Furthermore, query expansion can be performed on geographic references because the index structure is based in an ontology.

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“…In our experiments to compare ST and TS it was found that TS indexing required slightly more space than ST but exhibited better query response times. In contrast the T scheme resulted in longer query times (up to double) but with very little storage overhead (Vaid et al, 2005).…”

Section: Building Document Indexesmentioning

confidence: 99%

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

Purves

Clough

Jones

et al. 2007

International Journal of Geographical Information Science

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141

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Much of the information stored on the web contains geographical context, but current search engines treat such context in the same way as all other content. In this paper the design, implementation and evaluation of a spatially-aware search engine are described which is capable of handling queries in the form of the triplet of . The process of identifying geographic references in documents and assigning appropriate footprints to documents, to be stored together with document terms in an appropriate indexing structure allowing real-time search is described. 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. Normalised precision for 38 queries, containing four types of spatial relationships is significantly higher (p < 0.001) for search exploiting spatial information than pure text search.

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Spatio-textual Indexing for Geographical Search on the Web

Cited by 142 publications

References 11 publications

Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries

Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries

Exploiting geographic references of documents in a geographical information retrieval system using an ontology-based index

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

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