With the Internet being widely spread, databases are becoming more and more accessible. Unfortunately, this process brings some problems alongside obvious advantages. Easily accessible information causes raise of plagiarism, a phenomena of people finding some creative works, slightly (if at all) changing them and presenting as their own pieces. This work presents an overview of various methods that can be used in computer software in order to automatically perform document analysis and comparison for detecting similarity instances. In the work, such software development stages are given as well as software testing and considerations on semantic message analysis method integration in the system.
| Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2006~D_20060606_084727-10341 |
| Date | 06 June 2006 |
| Creators | Strašnovas, Olegas |
| Contributors | Kavaliauskas, Kazys, Paradauskas, Bronius, Tamulynas, Bronius, Matickas, Jonas Kazimieras, Karčiauskas, Eimutis, Motiejūnas, Kęstutis, Lenkevičius, Antanas, Rubliauskas, Dalius, Tomkevičius, Arūnas, Kaunas University of Technology |
| Publisher | Lithuanian Academic Libraries Network (LABT), Kaunas University of Technology |
| Source Sets | Lithuanian ETD submission system |
| Language | Lithuanian |
| Detected Language | English |
| Type | Master thesis |
| Format | application/pdf |
| Source | http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20060606_084727-10341 |
| Rights | Unrestricted |
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