Augmenting phrase-based text representation with conceptual indexing for effective retrieval

被引：0

作者：

Sharma, R ^{[1
]}

Raj, PCR ^{[1
]}

Raman, S ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Comp Sci & Engn, Madras 600036, Tamil Nadu, India

来源：

IKE'03: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2 | 2003年

关键词：

phrase-based text representation; phrasal indexing; phrase grammar; concept mapping; text retrieval;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The widespread use of Internet has helped the user community to literally transcend the limitations of time and space with regard to information access. At the same time, it has thrown up several new challenges to the researchers, of which guaranteeing high quality information retrieval is a significant one. Any approach to address this task is essentially linked to the method adopted for text representation. In this paper, we explore the effect of migrating from the current keyword-based approach to a keyphrase-based approach, augmented by conceptual indexing, so that the most appropriate documents are retrieved in response to a query.

引用

页码：27 / 31

页数：5