Event Search and Analytics: Detecting Events in Semantically Annotated Corpora for Search and Analytics
This work aims to improve search and analytics for users navigating large text corpora, but it is incremental as it builds on existing semantic annotation techniques without introducing new methods.
The research tackles the problem of mining important events from semantically annotated text corpora to unlock knowledge, proposing to address event identification, semantic search, and event analytics as key challenges.
In this article, I present the questions that I seek to answer in my PhD research. I posit to analyze natural language text with the help of semantic annotations and mine important events for navigating large text corpora. Semantic annotations such as named entities, geographic locations, and temporal expressions can help us mine events from the given corpora. These events thus provide us with useful means to discover the locked knowledge in them. I pose three problems that can help unlock this knowledge vault in semantically annotated text corpora: i. identifying important events; ii. semantic search; and iii. event analytics.