Browsing-based Conceptual Information Retrieval Incorporating Dictionary Term Relations, Keyword Association, and a User's Interest
Browsing-based Conceptual Information Retrieval Incorporating Dictionary Term Relations, Keyword Association, and a User's Interest
复制标题
结合词典术语关系、关键词关联和用户兴趣的基于浏览的概念信息检索
DOI：
10.1002/asi.10173
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
Tetsuro Ito
中科院分区：
文献类型：
--
作者：
Makoto Nakashima;Keizo Sato;Yanhua Qu;Tetsuro Ito
提出了一种基于浏览的概念信息检索模型，该模型采用两种不同类型的字典：全局字典和局部字典。一个全球性的字典与授权的条款是用来捕捉一个查询和一个文档之间的概念关系，通过替换他们的关键字与字典的条款。这些文档根据与查询的概念接近程度进行排名，并以用户的个人数字图书馆（pDL）的形式排列。在pDL中，用户可以基于关于哪些文档值得检查的建议来浏览排列的文档。这种建议是由本地字典中的信息提出的，该字典被组织以反映用户的兴趣以及关键字与文档的关联。使用标准测试集也进行了实验，以测试利用这两种类型的字典的检索性能。
A model of browsing-based conceptual information retrieval is proposed employing two different types of dictionaries, a global dictionary and a local dictionary. A global dictionary with the authorized terms is utilized to capture the commonly acknowledgeable conceptual relation between a query and a document by replacing their keywords with the dictionary terms. The documents are ranked by the conceptual closeness to a query, and are arranged in the form of a user's personal digital library, or pDL. In a pDL a user can browse the arranged documents based on a suggestion about which documents are worth examining. This suggestion is made by the information in a local dictionary that is organized so as to reflect a user's interest and the association of keywords with the documents. Experiments for testing the retrieval performance of utilizing the two types of dictionaries were also performed using standard test collections.