With the advancement of internet technology, online news content has become very popular. People can now get live updates of the world's news through online news sites. Social networking sites are also very popular among Internet users, for sharing pictures, videos, news links and other online content. Twitter is one of the most popular social networking and microblogging sites. With Twitter's URL shortening service, a news link can be included in a tweet with only a small number of characters, allowing the rest of the tweet to be used for expressing views on the news story. Social links can be unidirectional in Twitter, allowing people to follow any person or organization and get their tweet updates, and share those updates with their own followers if desired. Through Twitter thousands of news links are tweeted every day. Whenever there is a popular new story, different news sites will publish identical or nearly identical versions (``clones'') of that story. Though these clones have the same or very similar content, the level of popularity they achieve may be quite different due to content agnostic factors such as influential tweeters, time of publication and the popularities of the news sites. It is very important for the content provider site to know about which factor plays a important role to make their news link popular. In this thesis research, a data set is collected containing the tweets made for the 218 members of 25 distinct sets of news story clones. The collected data is analyzed with respect to basic popularity characteristics concerning number of tweets of various types, relative publication times of clone set members, tweet timing and number of tweeter followers. Then, several other factors are investigated to see their impact in making some news story clones more popular than others. It is found that multiple content-agnostic factors i.e. maximum number of followers, self promotional tweets plays an impact on news site's stories overall popularity, and a first step is taken at quantifying their relative importance.

Bei der zunehmenden Anzahl von Papers spielt die Affiliationsanalyse eine größer werdende Rolle, man erstrebt zusätzlich zur bibliografischen Analyse, um weitere nützliche Information zu erhalten. So wird z.B. die Affiliation nach Instituten, Countrys, Regionen, Citys und Koordinaten, die aus der Originalaffiliation nicht direkt bekannt sind, analysiert, anschließend kann mit diesen Informationen weiter gearbeitet werden. Man kann die Affiliation mit dem gefundenen Ergebnis kontrollieren und verteilen. Weltweit existieren zahlreiche semantische Analysewerkzeuge. Hier soll die Rede von vier grundsätzlichen Analysemethoden sein und am Ende wird die Auswertung nach einer einzigen Metrik stehen. Durch diesen gefundenen Ergebnisse können wir viele Hinweise gewinnen, z.B. den das Trends der Papers innerhalb von zehn Jahren errechnen und dann weiteres mit Hilfe von GoogleMaps durch die MarkerCluster Technik anzeigen. Auch können wir die Papers nach verschiedenen Ansätzen verlinken. Es wird möglich eine Reihe von Beziehungen definiert, um ein Netz aufzubauen. Dieses kann schnell durchgesehen und es können mächtige Suchstrategien ausgeführt werden. Diese Idee ist unser heutiges Thema und auch unter dem Begriff des Semantik Web bekannt.

Information system of laboratory intelligent systems. A target of my masters thesis is online reservation and evidence information system of the property of laboratory Department of Intelligent Systems on the Faculty of Information Technology (DIS FIT). This system files and manages all property of the laboratory, collects detailed information (description and utilization of the property, related photos and associated documents. It makes possible to manage not only the property and in addition to it documents in electronic form as well, but it contains full-value reservation system with a possibility of entering and handling a reservations and loans for use. The system is divided to an administrator and user part. A researching program unit is a part of the system DIS FIT. It makes possible to lookup the online documents in worldwide net Internet, scilicet with minimal service of the authorized user on the basis of keywords (authors name, documents title, eventually the others) and it makes possible to store documents direct into the systems database.

Scientific web portal generátor. The entire project, whose part this dissertation is, consists of the users interface GUI, the processes' communication, the softwares communication with a user and of the script for automatic parsering the selected entity by a method of extraction the semantic information from the marked text. The last-named part is a main content of my dissertation. The dissertations objective is a script (prototype), which returns on the basis of an input XML file with names of research workers, an output XML file with URL home pages' addresses and pages' addresses with a list of publications. Great deal of my dissertation will be devoted to the first-rate test datas assembly and in the end to the profound static analysis of the resulting scripts behaviour, which I have programed. This part will survey us about the percentage fruitfulness and about the rate of the designed script. The script will be prepared for the integration into the common project.