Vector Model Improvement Using Suffix Trees

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F09%3A00021025" target="_blank" >RIV/61989100:27240/09:00021025 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Vector Model Improvement Using Suffix Trees
Original language description
There are many ways how to search for documents in document collections. These methods take advantage of Boolean, vector, probabilistic and other models for the representation of documents, queries, rules and procedures which can determine correspondencebetween user requests and documents. Each of these models have several restrictions. These restrictions do not allow a user to find all relevant documents. There are many irrelevant documents among returned ones by the system and some relevant documentsmissing at all. In the article there is a new method suggested which uses suffix trees for the vector query improvement. This method treats the documents as a set of phrases (sentences) not just as a set of words. The sentence has a specific semantic meaning (words in the sentence are ordered). This is the advantage in comparison with methods which treat document just like a bag of words.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Project
<a href="/en/project/GA201%2F09%2F0990" target="_blank" >GA201/09/0990: XML data processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
International Journal of Computational Intelligence Research
ISSN
0974-1259
e-ISSN
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Volume of the periodical
5
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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