Please wait a minute...
New Technology of Library and Information Service  2010, Vol. 26 Issue (1): 46-50    DOI: 10.11925/infotech.1003-3513.2010.01.09
article Current Issue | Archive | Adv Search |
Study on Technologies of Semantic Mashup
Li Feng
(National Science Library, Chinese Academy of Sciences, Beijing 100190, China)
(Graduate University of Chinese Academy of Sciences, Beijing 100049, China)
Download: PDF(383 KB)   HTML  
Export: BibTeX | EndNote (RIS)      

This paper first introduces the concept of Semantic Mashup and the role of Semantic Web in the Mashup process. Then it summarizes the crucial technologies of Semantic Mashup, such as semantic data describing technology, semantic protocol specifications, Ontology-based Mashup reasoning technology. In addition, the paper analyzes some oversea on-going research projects, specifically for KC3 Browser, Bio2RDF, SBWS and Semantic REST. And finally, it gives some advice on how to promote the development of Semantic Mashup.

Key wordsMashup      Semantic Web      RDF      Ontology     
Received: 16 October 2009      Published: 25 January 2001


Corresponding Authors: Li Feng     E-mail:
About author:: Li Feng

Cite this article:

Li Feng. Study on Technologies of Semantic Mashup. New Technology of Library and Information Service, 2010, 26(1): 46-50.

URL:     OR

[1] Cheung K H, Yip K Y, Townsend J P, et al. HCLS 2.0/3.0: Health Care and Life Sciences
Data Mashup Using Web 2.0/3.0[J]. Journal of Biomedical Informatics, 2008,41(5):694-705.
[2] Goble C, Stevens R. State of the Nation in Data Integration for Bioinformatics [J]. Journal
of Biomedical Informatics, 2008, 41(5):687-693.
[3] Linked Data: Principles and State of the Art [R/OL]. [2009-05-14].
[4] DBpedia[EB/OL].[2009-05-30].
[5] WordNet[EB/OL].[2009-05-30].
[6] RDF Book Mashup[EB/OL].
[7] RDFa Primer [EB/OL]. [2009-05-30].
[8] Microformats[EB/OL]. [2009-05-30].
[9] Social Semantic Mashups with GRDDL and Microformats[EB/OL]. [2009-05-30].
[10] Piggy Bank [EB/OL]. [2009-05-30].
[11] Solvent [EB/OL]. [2009-05-30].
[12] Semantic Annotations for WSDL and XML Schema [EB/OL]. [2009-05-30].
[13] Lathem J,Gomadam K,Sheth A P. SA-REST and (S)Mashups : Adding Semantics to
RESTful Services[C]. In: Proceedings of the International Conference on Semantic
Computing.2007: 469-476.
[14] Sahoo S S, Bodenreider O, Rutter J L, et al. An Ontology-driven Semantic Mashup of
Gene and Biological Pathway Information: Application to the Domain of Nicotine Dependence[J].
Journal of Biomedical Informatics, 2008, 41(5):752-765.
[15] Villanueva-Rosales N,Dumontier M . yOWL: An Ontology-driven Knowledge Base for
Yeast Biologists [J]. Journal of Biomedical Informatics, 2008, 41(5):779-789.
[16] Michiaki Iwazume, Ken Kaneiwa, Koji Zettsu, et al.KC3 Browser: Semantic Mash-up and
Link-free Browsing[EB/OL]. [2009-05-30].
[17] Belleau F, Nolin M A, Tourigny N, et al.Bio2RDF:Towards a Mashup to Build
Bioinformatics Knowledge Systems[J]. Journal of Biomedical Informatics, 2008, 41(5): 706-719.
[18] Stephens S, LaVigna D, DiLascio M, et al. Aggregation of Bioinformatics Data Using
Semantic Web Technology[J]. Web Semantics, 2006, 4(3):216-221.
[19] Battle R, Benson E. Bridging the Semantic Web and Web2.0 with Representational State
Transfer (REST) [J]. Journal of Web Semantics, 2008, 6(1): 61-69.

[1] Shiqi Deng,Liang Hong. Constructing Domain Ontology for Intelligent Applications: Case Study of Anti Tele-Fraud[J]. 数据分析与知识发现, 2019, 3(7): 73-84.
[2] Zhu Fu,Yuefen Wang,Xuhui Ding. Semantic Representation of Design Process Knowledge Reuse[J]. 数据分析与知识发现, 2019, 3(6): 21-29.
[3] Guangshang Gao. A Survey of User Profiles Methods[J]. 数据分析与知识发现, 2019, 3(3): 25-35.
[4] Ying Wang,Li Qian,Jing Xie,Zhijun Chang,Beibei Kong. Building Knowledge Graph with Sci-Tech Big Data[J]. 数据分析与知识发现, 2019, 3(1): 15-26.
[5] Youshi He,Shufang He. Sentiment Mining of Online Product Reviews Based on Domain Ontology[J]. 数据分析与知识发现, 2018, 2(8): 60-68.
[6] Huihui Tang,Hao Wang,Zixuan Zhang,Xueying Wang. Extracting Names of Historical Events Based on Chinese Character Tags[J]. 数据分析与知识发现, 2018, 2(7): 89-100.
[7] Beibei Pang,Juanqiong Gou,Wenxin Mu. Extracting Topics and Their Relationship from College Student Mentoring[J]. 数据分析与知识发现, 2018, 2(6): 92-101.
[8] Shengchun Ding,Menglu Liu,Zhu Fu. Unified Multidimensional Model Based on Knowledge Flow in Conceptual Design[J]. 数据分析与知识发现, 2018, 2(2): 11-19.
[9] Ying Wang,Sizhu Wu. Converting STKOS Metathesaurus to RDF Triples with R2RML[J]. 数据分析与知识发现, 2018, 2(12): 89-97.
[10] Haili Tu,Xiaobo Tang. Building Product Recommendation Model Based on Tags[J]. 数据分析与知识发现, 2017, 1(9): 28-39.
[11] Erjing Chen,Enbo Jiang. Review of Studies on Text Similarity Measures[J]. 数据分析与知识发现, 2017, 1(6): 1-11.
[12] Rujiang Bai,Fuhai Leng,Junhua Liao. An Improved Cosine Text Similarity Computing Method Based on Semantic Chunk Feature[J]. 数据分析与知识发现, 2017, 1(6): 56-64.
[13] Dan Wu,Chang Liu,Yi Li. Changing Sentiments of Pedestrian Navigation System Users[J]. 数据分析与知识发现, 2017, 1(5): 42-51.
[14] Liu Jian,Bi Qiang,Liu Qingxu,Wang Fu. New Content Recommendation Service of Digital Literature[J]. 现代图书情报技术, 2016, 32(9): 70-77.
[15] Ding Heng,Lu Wei. Building Standard Literature Knowledge Service System[J]. 现代图书情报技术, 2016, 32(7-8): 120-128.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938