Spatial information retrieval and geographical ontologies an overview of the SPIRIT project

Jones, Christopher B.; Purves, Ross S.; Ruas, Anne; Sanderson, Mark; Sester, Monika; Kreveld, Marc van; Weibel, Robert

doi:10.1145/564376.564457

Cited by 98 publications

(61 citation statements)

References 6 publications

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“…The objective is to simulate the so-called SPIRIT collection, composed of approximately 94 million Web documents and 1TB of text, although no queries and relevant assessments exist for the moment [10]. We divide this collection in 72 sub-collections and we use the statistical information (vocabulary size, document size, etc.)…”

Section: The Spirit Collection Modelmentioning

confidence: 99%

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Performance Analysis of Distributed Architectures to Index One Terabyte of Text

Cacheda

Plachouras

Ounis

2004

Lecture Notes in Computer Science

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Abstract.We simulate different architectures of a distributed Information Retrieval system on a very large Web collection, in order to work out the optimal setting for a particular set of resources. We analyse the effectiveness of a distributed, replicated and clustered architecture using a variable number of workstations. A collection of approximately 94 million documents and 1 terabyte of text is used to test the performance of the different architectures. We show that in a purely distributed architecture, the brokers become the bottleneck due to the high number of local answer sets to be sorted. In a replicated system, the network is the bottleneck due to the high number of query servers and the continuous data interchange with the brokers. Finally, we demonstrate that a clustered system will outperform a replicated system if a large number of query servers is used, mainly due to the reduction of the network load.

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Section: The Spirit Collection Modelmentioning

confidence: 99%

“…The SPIRIT collection (94,552,870 documents and 1 terabyte (TB) of text) [10] is used for the simulation of the distributed IR system. We partition the collection of documents using a local inverted file strategy, and we test the response times for different configurations.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Distributed Architectures to Index One Terabyte of Text

Cacheda

Plachouras

Ounis

2004

Lecture Notes in Computer Science

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“…This paper presents work from the SPIRIT project on extracting spatial metadata from web pages for prototyping a working GIR system [3]. Simple methods for geo-parsing and geo-coding have been presented which address specific constraints including execution time and language independence.…”

Section: Discussionmentioning

confidence: 99%

“…A further feature of the geo-coding method used in SPIRIT is the use of preferences to rank senses: (1) senses from resources in the following order are preferred (due to the quality and type of spatial reference): SABE [3] OS [2] TGN [1], and (2) senses matching a command-line option specifying the country currently being processed (e.g. "UK" or "Germany" -the preferred country is given a value 1; the rest a value 0) are preferred.…”

Section: Geo-codingmentioning

confidence: 99%

“…A key part of providing such services is the extraction and use of geospatial information. In this paper we discuss approaches used in the Spatially-Aware Information Retrieval on the Internet (SPIRIT) project (http://www.geospirit.org/) to generate a sample web document collection for prototyping a working GIR system [3]. Extracting geospatial references from documents involves two main tasks: identifying geographic references and assigning them spatial coordinates.…”

Section: Introductionmentioning

confidence: 99%

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Extracting metadata for spatially-aware information retrieval on the internet

Clough

2005

Proceedings of the 2005 Workshop on Geographic Information Retrieval

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This paper presents methods used to extract geospatial information from web pages for use in SPIRIT, a new Geographic Information Retrieval (GIR) system for the web. The resulting geospatial markup tools have been used to annotate around 900,000 web pages taken from a 1TB web crawl, focused on regions in the UK, France, Germany and Switzerland. This paper discusses a versatile geo-parsing tool for extracting spatial metadata based upon the GATE Information Extraction (IE) system, and a simple geo-coding program based on default sense to assign spatial coordinates to extracted locations. A preliminary analysis of markup accuracy for geo-parsing and geo-coding is provided, and an initial statistical and geographical analysis of the SPIRIT collection presented.

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Spatio-textual Indexing for Geographical Search on the Web

Vaid

Jones

Joho

et al. 2005

Lecture Notes in Computer Science

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142

114

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Abstract. Many web documents refer to specific geographic localities and many people include geographic context in queries to web search engines. Standard web search engines treat the geographical terms in the same way as other terms. This can result in failure to find relevant documents that refer to the place of interest using alternative related names, such as those of included or nearby places. This can be overcome by associating text indexing with spatial indexing methods that exploit geo-tagging procedures to categorise documents with respect to geographic space. We describe three methods for spatio-textual indexing based on multiple spatially indexed text indexes, attaching spatial indexes to the document occurrences of a text index, and merging text index access results with results of access to a spatial index of documents. These schemes are compared experimentally with a conventional text index search engine, using a collection of geo-tagged web documents, and are shown to be able to compete in speed and storage performance with pure text indexing.

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Spatial information retrieval and geographical ontologies an overview of the SPIRIT project

Cited by 98 publications

References 6 publications

Performance Analysis of Distributed Architectures to Index One Terabyte of Text

Performance Analysis of Distributed Architectures to Index One Terabyte of Text

Extracting metadata for spatially-aware information retrieval on the internet

Spatio-textual Indexing for Geographical Search on the Web

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