Heuristic and ai approach to optimize plagiarism detection tool using a public search engine

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F12%3A43908973" target="_blank" >RIV/62156489:43110/12:43908973 - 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
Heuristic and ai approach to optimize plagiarism detection tool using a public search engine
Original language description
The paper presents an experience with methods for efficient population of the database of possible sources for plagiarism. Each document is examined with public search engine for potential plagiarism. To ensure maximal relevance of results and maximal speed of examination, the fragments of source documents have to be chosen very carefully. We tried naive approach, heuristic and neural networks to optimize the number of queries for the public search engine. We found that neural network has no use withoutbigram or trigram frequency dictionary, so that context is important for querying. The most efficient way how to speed up the matching is to learn how to estimate the plagiarism probability for each part of the document and use it for building the queries for the search engine.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the IADIS International Conference WWW/Internet 2012 (ICWI 2012)
ISBN
978-989-8533-09-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
399-403
Publisher name
IADIS (International Association for Development of the Information Society)
Place of publication
Lisabon
Event location
Madrid
Event date
Oct 18, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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