Snippet Generation for Geographic Information Retrieval
نویسندگان
چکیده
منابع مشابه
On the Evaluation of Snippet Selection for Information Retrieval
In this paper we take a critical look at the evaluation method of WebCLEF 2007. The suitability of the evaluation method can be seen from two sides, namely from a participating system and a non participating system. A participant has the advantage that the evaluation is partly based upon his output. In this paper we will investigate if the size of the pool of snippets, the implementation of the...
متن کاملGeographic Information Retrieval
Due to the abundance of information, querying the World Wide Web has become increasingly difficult. Geographic properties of Internet resources can be directly used for making Internet search more personalized and for increasing the quality of results. However, little work has been done in this area so far and the general direction of research and development has been uncertain. In this paper, ...
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The processing steps required for geographic information retrieval include many steps that are common to all forms of information retrieval, e.g. stopword filtering, stemming, vocabulary enrichment, understanding Booleans, and fluff removal. Only a few steps, in particular the detection of geographic entities and the assignment of bounding boxes to these, are specific to geographic IR. The pape...
متن کاملInferring Location Names for Geographic Information Retrieval
For the participation of GIRSA at the GeoCLEF 2007 task, two innovative features were introduced to the geographic information retrieval (GIR) system: identification and normalization of location indicators, i.e. text segments from which a geographic scope can be inferred, and the application of techniques from question answering. In an extension of a previously performed experiment, the latter...
متن کاملLocation Identification for Geographic Information Retrieval
In this paper we identify location names that appear in queries written in Indonesian using geographic gazeeter. We built the gazeeter by collecting geographic information from a number of geographic resources. We translated an Indonesian query set into English using a machine translation technique. We also made an attempt to improve the retrieval effectiveness using a query expansion technique...
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ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2009
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.24.494