图书情报工作

图书情报工作 >

2013 , Vol. 57 >Issue 17: 34 - 38,52

DOI: https://doi.org/10.7536/j.issn.0252-3116.2013.17.006

理论研究

关联数据驱动的数字图书推荐模型

  • 田野 ,
  • 祝忠明
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  • 1. 中国科学院国家科学图书馆兰州分馆;
    2. 中国科学院大学
田野,中国科学院国家科学图书馆兰州分馆、中国科学院大学硕士研究生,E-mail:tiany@mail.las.ac.cn;祝忠明,中国科学院国家科学图书馆兰州分馆研究员。

收稿日期: 2013-07-19

  修回日期: 2013-08-20

  网络出版日期: 2013-09-05

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Linked Data-driven Digital Book Recommendation Model

  • Tian Ye ,
  • Zhu Zhongming
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  • 1. The Lanzhou Branch of National Science Library, Chinese Academy of Sciences, Lanzhou 730000;
    2. University of Chinese Academy of Sciences, Beijing 100049

Received date: 2013-07-19

  Revised date: 2013-08-20

  Online published: 2013-09-05

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摘要

提出一种关联数据驱动的数字图书推荐模型,为了实现向用户提供跨数据源的推荐服务,首先把图书馆的本地数据与外部相关的关联数据相融合,根据图书馆资源信息的不同的特性,分别构建用户社会关系语义本体知识库与数字图书语义本体知识库,并根据用户对图书浏览的活跃程度,针对不同的用户,采取不同的推荐策略,实现对用户推荐服务的全覆盖。

关键词： 关联数据; 本体; 知识库; 推荐系统

本文引用格式

田野 , 祝忠明 . 关联数据驱动的数字图书推荐模型[J]. 图书情报工作, 2013 , 57(17) : 34 -38,52 . DOI: 10.7536/j.issn.0252-3116.2013.17.006

Abstract

In order to provide recommendation services across data sources for users, a linked data-driven digital book recommendation model is proposed. This paper associates the library local data with external related data, and respectively builds social relations semantics ontology repository and digital book semantics ontology repository on base of different characteristics of library resources information. Then it takes different recommendation strategies according to the users' activity level on the books browsing to realize full coverage of users' recommendation service.

Key words： linked data; ontology; repository; recommendation system

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