Armin B. Cremers – författare

Security and Privacy in Social Networks brings to the forefront innovative approaches for analyzing and enhancing the security and privacy dimensions in online social networks, and is the first comprehensive attempt dedicated entirely to this field. In order to facilitate the transition of such methods from theory to mechanisms designed and deployed in existing online social networking services, the book aspires to create a common language between the researchers and practitioners of this new area- spanning from the theory of computational social sciences to conventional security and network engineering.

Security and Privacy in Social Networks brings to the forefront innovative approaches for analyzing and enhancing the security and privacy dimensions in online social networks, and is the first comprehensive attempt dedicated entirely to this field. In order to facilitate the transition of such methods from theory to mechanisms designed and deployed in existing online social networking services, the book aspires to create a common language between the researchers and practitioners of this new area- spanning from the theory of computational social sciences to conventional security and network engineering.

Security and Privacy in Social Networks brings to the forefront innovative approaches for analyzing and enhancing the security and privacy dimensions in online social networks, and is the first comprehensive attempt dedicated entirely to this field. In order to facilitate the transition of such methods from theory to mechanisms designed and deployed in existing online social networking services, the book aspires to create a common language between the researchers and practitioners of this new area- spanning from the theory of computational social sciences to conventional security and network engineering.

For many years, Arti?cial Intelligence technology has served in a great variety of successful applications. AI researchand researchershave contributed much to the vision of the so-called Information Society. As early as the 1980s, some of us imagined distributed knowledge bases containing the explicable knowledge of a company or any other organization. Today, such systems are becoming reality. In the process, other technologies have had to be developed and AI-technology has blended with them, and companies are now sensitive to this topic. TheInternetandWWWhaveprovidedtheglobalinfrastructure,whileatthe same time companies have become global in nearly every aspect of enterprise. This process has just started, a little experience has been gained, and therefore it is tempting to re?ect and try to forecast, what the next steps may be. This has given us one of the two main topics of the 23rd Annual German Conference on Arti?cial Intelligence (KI-99)held at the University of Bonn: The Knowledge Society. Two of our invited speakers, Helmut Willke, Bielefeld, and Hans-Peter Kriegel, Munich, dwell on di?erent aspects with di?erent perspectives. Helmut Willke deals with the concept of virtual organizations, while Hans-Peter Kriegel applies data mining concepts to pattern recognitiontasks.The three application forums are also part of the Knowledge Society topic: “IT-based innovation for environment and development”, “Knowledge management in enterprises”, and “Knowledgemanagementinvillageandcityplanningoftheinformationsociety”.

For many years, Arti?cial Intelligence technology has served in a great variety of successful applications. AI researchand researchershave contributed much to the vision of the so-called Information Society. As early as the 1980s, some of us imagined distributed knowledge bases containing the explicable knowledge of a company or any other organization. Today, such systems are becoming reality. In the process, other technologies have had to be developed and AI-technology has blended with them, and companies are now sensitive to this topic. TheInternetandWWWhaveprovidedtheglobalinfrastructure,whileatthe same time companies have become global in nearly every aspect of enterprise. This process has just started, a little experience has been gained, and therefore it is tempting to re?ect and try to forecast, what the next steps may be. This has given us one of the two main topics of the 23rd Annual German Conference on Arti?cial Intelligence (KI-99)held at the University of Bonn: The Knowledge Society. Two of our invited speakers, Helmut Willke, Bielefeld, and Hans-Peter Kriegel, Munich, dwell on di?erent aspects with di?erent perspectives. Helmut Willke deals with the concept of virtual organizations, while Hans-Peter Kriegel applies data mining concepts to pattern recognitiontasks.The three application forums are also part of the Knowledge Society topic: “IT-based innovation for environment and development”, “Knowledge management in enterprises”, and “Knowledgemanagementinvillageandcityplanningoftheinformationsociety”.

1.1 "State of the Art" Textverarbeitungsprogramme unterliegen wie jedes andere Softwarepaket auch einem stetigen Entwicklungsprozeß. Die allerersten Programme benötigten dabei einen Hauptspeicher von nicht einmal 64KB, der heute bei Programmen in der 5. oder aber auch schon 6. Version auf 640KB angewachsen ist. Mit der Programm­ größe ist aber auch die Funktionalität angewachsen. Die Programme zum Verarbeiten der Texte müssen heute in drei große Klassen unterteilt werden. Früher waren es nur die Texteditoren und die Textverarbeitungs­ programme, heute kommen jedoch auch sogenannte DTP-Programme hinzu, die nach dem WYSIWYG-Prinzip arbeiten. 1 Die in diesem Buch beschriebenen Ergebnisse stammen aus einer Studie, die im Auftrag der TA Triumph-Adler AG, Nürnberg, durchgeführt worden ist, und sollen die Möglichkeiten aufzeigen, die für die weitere Entwicklung von Textverarbeitungs-und DTP -Programmen in den Bereichen des Schriftsatzes und der Typographie bestehen. 8 1 Einführung strukturelle Aufteilung früher: Zweiteilung heute: Dreiteilung Desktop-Publishing Texteditoren Textverarbeitungsprogramme Abb. 1.1: Strukturelle Auf teilung der Programme Bei den Texteditoren handelt es sich um Programme, die ASCII-Texte verarbeiten, d.h., sie können keine spezifischen Steuerzeichen lesen bzw. zurückschreiben. Die Texte bestehen aus einer Abfolge von Zeilen, die hauptsächlich die üblichen druckbaren Zeichen und Tabulatoren enthalten. Diese Texte dienen fast aus­ schließlich dazu, Programmtexte zu erfassen und anschließend von Compilern übersetzen zu lassen.