MANAGEMENT OF XML DATABY MEANS OF SCHEMA MATCHINGDissertationzur Erlangung des akademischen GradesDoktoringenieur (Dr.-Ing.),angenommen durch die Fakult¨at fu¨r Informatikder Otto-von-Guericke-Universit¨at Magdeburgvon: M.Sc. Alsayed Alshahat Alsayed Algergawy¨geb. am 06. Nov. 1973 in AgyptenGutachter:Prof. Dr. Gunter SaakeProf. Dr. Erhard RahmProf. Dr. Stefan ConradPromotionskolloquium: Magdeburg, Germany, February 19, 2010Algergawy, Alsayed:Management of XML Data by Means ofSchema MatchingDissertation, Otto-von-Guericke-Universit¨atMagdeburg, 2009.AbstractTheeXtensible MarkupLanguage(XML)hasemerged asadefactostandardtorepresentand exchange information among various applications on the Web and within organiza-tions due to XML’s inherent data self-describing capability and flexibility of organizingdata. As a result, the number of available (heterogeneous) XML data is rapidly increas-ing, and the need for developing high-performance techniques to manage these data isvastly growing. A first step to manage these data is to identify and discover semanticcorrespondences across XML data. The process of identifying semantic correspondencesamong heterogeneous XML data is called XML schema matching.Schema matching in general plays a central role in several shared XML data ap-plications, such as XML data integration, XML data migration, XML data clustering,peer-to-peersystems, etc.