Analysis of State-of-the-Art Knowledge Extraction Technologies
当前知识抽取的主要技术方法解析*

Based on the analysis of some state-of-the-art knowledge extraction systems,i.e.,MnM,KIM,Text2Onto,Amilcare and Melita,it brings forward that two kinds of technologies,i.e.,machine learning and natural language analysis,are developed respectively and get benefits from the inter-reference.On machine learning aspect,some new methods,such as Adaptive Information Extraction,Open Information Extraction,are put forward and have a trend toward Ontology Learning.On nature language analysis aspect,the methods of Pattern-Based Annotation and Semantic Annotation get more attention than ever,and have a trend toward Ontology Based Information Extraction.Besides,Controlled Language Information Extraction method is introduced to reduce the cost of Ontology Construction and allow non-specialists to create or edit ontological data using simple nature language.