Relation Visualization for Semantically Enriched Web Content

Many methods for web archiving include semantic analysis of the archived content. Texts from social media provide a rich feature set of analyzed data, such as topics, opinions, events, and more. One of the main challenges is the successful utilization of the semantic and raw data for an optimized search and retrieval approach. This work reports on the user needs for semantic relation visualization and the experimental approaches for creating visualizations that answer to specific user queries, based on the user interaction monitored by a dedicated semantic search tool.