Ontology-based Multilingual Search in Recommendation Systems

被引：0

作者：

Xuan Hau Pham ^{[1
]}

Jung, Jason J. ^{[2
]}

Ngoc Thanh Nguyen ^{[3
]}

Kim, Pankoo ^{[4
]}

机构：

[1] QuangBinh Univ, Dong Hoi, Vietnam

[2] Chung Ang Univ, Seoul, South Korea

[3] Wroclaw Univ Technol, PL-50370 Wroclaw, Poland

[4] Chosun Univ, Gwangju, South Korea

来源：

ACTA POLYTECHNICA HUNGARICA | 2016年 / 13卷 / 02期

基金：

新加坡国家研究基金会;

关键词：

multilingual entities; Linked Open Data; interlink; movie; recommendation system;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The information on the web is not only published by an original language, but also expressed in many different languages. Almost recommendation systems also lack mechanisms to support users overcoming the language problem. In these systems, it is difficult to search a specific value (e.g., movie artist, movie title in movie domain) by using native language. In this paper, we present our approach to deal with this problem. We develop an ontology-based multilingual recommendation system using integrated data from Linked Open Data to support user with in different languages on movie domain. Multilingual Movie Recommendation System (MMRS) for searching as a case of study is developed. In this system, we illustrate a more comfortable and flexible implementation.

引用

页码：195 / 207

页数：13

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