Adaptive Similarity of XML Data
| Název práce v češtině: | Adaptive Similarity of XML Data |
|---|---|
| Název v anglickém jazyce: | Adaptive Similarity of XML Data |
| Klíčová slova: | rozhodovací strom, podobnost schémat, PIM schéma, PSM schéma, XML Schema |
| Klíčová slova anglicky: | decision tree, schema similarity, PIM schema, PSM schema, XML Schema |
| Akademický rok vypsání: | 2010/2011 |
| Typ práce: | diplomová práce |
| Jazyk práce: | angličtina |
| Ústav: | Katedra softwarového inženýrství (32-KSI) |
| Vedoucí / školitel: | doc. RNDr. Irena Holubová, Ph.D. |
| Řešitel: | skrytý - zadáno a potvrzeno stud. odd. |
| Datum přihlášení: | 09.11.2010 |
| Datum zadání: | 09.11.2010 |
| Datum a čas obhajoby: | 27.01.2014 10:00 |
| Datum odevzdání elektronické podoby: | 04.12.2013 |
| Datum odevzdání tištěné podoby: | 06.12.2013 |
| Datum proběhlé obhajoby: | 27.01.2014 |
| Oponenti: | RNDr. Martin Svoboda, Ph.D. |
| Zásady pro vypracování |
| Exploitation of similarity of XML data is currently a typical optimization strategy for many related areas of their processing. However, most of the approaches suffer from the same problem caused by the fact that different similarity evaluations are suitable for different types of data. The current strategies are either fixed, or their calibration for particular type of data has to be done manually which is not an easy task.
The aim of this work is a research on various aspects of (semi-)automatic adaptive evaluation of similarity of XML data. Firstly, it is necessary to analyze existing solutions in the area of both XML and non-XML data and to discuss their advantages and disadvantages. The core of the work is a proposal and implementation of own method for similarity evaluation strategy focusing on the found disadvantages and shortcomings. The work will include suitable experimental results. |
| Seznam odborné literatury |
| Mlynkova, I. - Necasky, M. - Pokorny, J. - Richta, K. - Toman, K. - Toman, V.: Technologie XML - Principy a aplikace v praxi. Grada Publishing, Prague, Czech Republic, zari 2008. ISBN 978-80-247-2725-7.
W3C. W3C Technical Reports and Publications. http://www.w3.org/TR/ Jakub Stárka. Similarity of XML Data. Master thesis. Charles University in Prague, Czech Republic, 2010. http://www.ksi.mff.cuni.cz/~mlynkova/dp/Starka.pdf E. Rahm and P. A. Bernstein. A Survey of Approaches to Automatic Schema Matching. The VLDB Journal, 10(4):334-350, 2001. H. Do, S. Melnik, and E. Rahm. Comparison of Schema Matching Evaluations. In Revised Papers from the NODe 2002 Web and Database-Related Workshops on Web, Web-Services, and Database Systems, pages 221-237, London, UK, 2003. Springer-Verlag. |