@book{Vincent2015, abstract = {In der vorliegenden Arbeit wird ein Modell zur Darstellung von Relationen unter aufgespürten Themen unterschiedlicher Zeitfenster als Themen-Graph entwickelt. Variieren und Verschieben des Betrachtungszeitraums bildet Beziehungen zwischen Themen in unterschiedlicher Komplexität ab unter Einbeziehung der jeweiligen Themenbedeutung. Evolutionslebenszyklen eines Themas wie auch Änderungen thematischer Relationen werden sichtbar. Dabei können gefundene Themen bekannten Ereignissen zugeordnet werden.In this work a model is engineered to depict topic relationships as graphs between detected topics of different time windows. By varying and shifting the time span of consideration the relationships between topics can be mapped with a variable complexity including the topic frequencies. Topic life cycles as well as changes in thematic relationships and their evolution become perceptible. Topics found can be matched in structure as well as their temporal progression to existing events.Umfang: II, 136 S.Preis: €48.00 | £44.00 | $84.00}, address = {Karlsruhe}, author = {Vincent, Dominique}, doi = {10.5445/KSP/1000045521}, isbn = {978-3-7315-0340-8}, keyword = {Themen-Graphen, Themen-Frequenz, Text Mining, Dokumentenstrom, topic-graph, topic-frequency, text mining, document streams}, month = {Apr}, pages = {152}, publisher = {KIT Scientific Publishing}, title = {Evolution von Relationen in temporalen partiten Themen-Graphen}, year = {2015} }