Semantic-Based Temporal Text-Rule Mining

Abstract. In many contexts today, documents are available in a number of versions. In addition to explicit knowledge that can be queried/searched in documents, these documents also contain implicit knowledge that can be found by text mining. In this paper we will study association rule mining of temporal document collections, and extend previous work within the area by 1) performing mining based on semantics as well as 2) studying the impact of appropriate techniques for ranking of rules.

• Type: Conference
• Year: 2009
• Where: CICLING
• Authors: Kjetil Nørvåg, Ole Kristian Fivelstad
• Keywords: Association Rule Mining, CICLING 2009, Contexts Today, Natural Language Processing, Temporal Document Collections