Semantic Relation Extraction for Extensive Service of a Cultural Database

Semantic relation extraction is a significant topic in natural language processing. It aims at discovering semantic relations between entities with various important applications such as knowledge acquisition, web and text mining, information retrieval and search engine, text classification and summarization.The propose of this research is to discovery semantics relation among a focused set of entities in a cultural archive. The approach is based on a set of relation templates which are determined by relation type and their arguments. The experimental performs a promising resource ranging between 88-100% of accuracy with moderate processing time per document.