Indexing and ranking in Geo-IR systems

Martins, Bruno; Silva, Mário J.; Andrade, Leonardo

doi:10.1145/1096985.1096993

Cited by 61 publications

(54 citation statements)

References 21 publications

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“…On the other hand, some proposals de ne structures that keep separate indexes for spatial and text attributes [6 8]. Our index structure is part of this second group because this division has many advantages [8]. First of all, all textual queries can be e ciently processed by the text index, and all spatial queries can be e ciently processed by the spatial index.…”

Section: Related Workmentioning

confidence: 99%

“…Finally, speci c optimizations can be applied to each individual indexing structure. After that research, in [7,8], the authors survey the work in the SPIRIT project and propose improvements to the system and the algorithms de ned. In their work they propose two naive algorithms: Text-First and Geo-First.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, authors of [8,37] de ne equations to calculate the spatial relevance when an ontology is used in the system. In [38], a proposal to combine spatial-based measures and ontology-based measures is presented.…”

Section: Pure Spatial Queriesmentioning

confidence: 99%

“…Equation 7 de nes how we combine both relevance rankings. The weighted sum of the spatial and textual ranking values is one of the simplest methods and is commonly used [8,18,37]. Furthermore, it is the base of more complex ranking methods [39].…”

Section: Hybrid Queriesmentioning

confidence: 99%

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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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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Pure Spatial Queriesmentioning

confidence: 99%

Section: Hybrid Queriesmentioning

confidence: 99%

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

et al. 2010

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“…To process this textual unit, we claim that each of its three components (spatial, temporal and thematic) should be treated independently, as is put forth by (Clough et al, 2006). This can be done by making several indexes, one per component, 1 Mountains of the south west of France 2 Part of this project is supported by the Greater Pau City Council and the MIDR media library as is advised by (Martins et al, 2005). In this way, one can limit the search to one criterion and easily manage the indexes (e.g., to allow adding documents to the corpus).…”

Section: Introductionmentioning

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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Bibliography

2013

Geographical Information Retrieval in Textual Corpora

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Indexing and ranking in Geo-IR systems

Abstract: This paper addresses document indexing and retrieval using geographical location. It discusses possible indexing structures and result ranking algorithms, surveying known approaches and showing how they can be combined to build an effective Geo-IR system.

Cited by 61 publications

References 21 publications

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

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

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

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