A New Ontology-Supported and Hybrid Recommending Information System for Scholars

Author

Yang, Sheng-yuan ; Hsu, Chun-liang

Author_Institution

Dept. of Comput. & Commun. Eng., St. John´´s Univ., Taipei, Taiwan

fYear

2010

fDate

14-16 Sept. 2010

Firstpage

379

Lastpage

384

Abstract

A new ontology-supported and hybrid recommending information system for scholars was proposed. Not only can it fast integrate specific domain documents, but also it can extract important information from them through the hybrid filtering technology to take information integration and recommendation ranking. The experiment outcomes proved that the reliability and validity measurements of the whole system performance can achieve the high-level outcomes of information recommendation. Furthermore, this paper also discussed and investigated the advantages and shortcomings of the construction of a recommendation system with different approaches and accordingly provided the design philosophy of customized services for recommendation systems.

Keywords

information filtering; ontologies (artificial intelligence); recommender systems; domain documents; hybrid filtering technology; hybrid recommending information system; information integration; information recommendation; ontology-supported information system; recommendation ranking; scholars; system performance; Crawlers; Data mining; Databases; Filtering; Ontologies; Reliability; Information Extractor; Information Recommender; Ontology; Webpage Classifiers; Webpage Crawlers;

fLanguage

English

Publisher

ieee

Conference_Titel

Network-Based Information Systems (NBiS), 2010 13th International Conference on

Conference_Location

Takayama

ISSN

2157-0418

Print_ISBN

978-1-4244-8053-1

Electronic_ISBN

2157-0418

Type

conf

DOI

10.1109/NBiS.2010.27

Filename

5636163