Efficient Exploration of Biological Data using Semantic Web Compatible Databases

被引:0
作者
Zaki, Nazar [1 ]
Tennakoon, Chandana [1 ]
机构
[1] United Arab Emirates Univ, Coll Informat Technol, Al Ain, U Arab Emirates
来源
2016 3RD INTERNATIONAL CONFERENCE ON SOFT COMPUTING & MACHINE INTELLIGENCE (ISCMI 2016) | 2016年
关键词
Biological Databases; Semantic Web; RDF; SPARQL; Faceted Browsing;
D O I
10.1109/ISCMI.2016.23
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There are over 1600 publicly available biological databases, and this number is growing at a steady rate. These databases are not in a uniform format; however, web-based technologies can be employed to integrate them. One of the key steps in enabling semantic web techniques is to convert these databases into a uniform format; for example, that of the Resource Description Framework (RDF). There are already several biological databases available in RDF format. However, some of the major databases are only found in custom formats. In this paper, we review the methods that are available to explore biological databases in RDF format. We also review current projects that facilitate the conversion of biological data into RDF format. We will identify the strengths and weaknesses of the current exploratory methods and suggest improvements that will enable both novice and expert users to search biological databases more effectively.
引用
收藏
页码:67 / 72
页数:6
相关论文
共 50 条
  • [1] Biological data integration using Semantic Web technologies
    Pasquier, C.
    BIOCHIMIE, 2008, 90 (04) : 584 - 594
  • [2] SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases
    Schweiger, Dominik
    Trajanoski, Zlatko
    Pabinger, Stephan
    BMC BIOINFORMATICS, 2014, 15
  • [3] SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases
    Dominik Schweiger
    Zlatko Trajanoski
    Stephan Pabinger
    BMC Bioinformatics, 15
  • [4] An Efficient Approach to Extract and Store Big Semantic Web Data Using Hadoop and Apache Spark GraphX
    Mohammed, Wria Mohammed Salih
    Maa, Alaa Khalil Ju
    ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, 2024, 13
  • [5] Using SPARQL and SPIN for Data Quality Management on the Semantic Web
    Fuerber, Christian
    Hepp, Martin
    BUSINESS INFORMATION SYSTEMS, PROCEEDINGS, 2010, 47 : 35 - 46
  • [6] Foundations of Semantic Web databases
    Gutierrez, Claudio
    Hurtado, Carlos A.
    Mendelzon, Alberto O.
    Perez, Jorge
    JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 2011, 77 (03) : 520 - 541
  • [7] Accelerating Large Semantic Web Databases by Parallel Join Computations of SPARQL Queries
    Groppe, Jinghua
    Groppe, Sven
    APPLIED COMPUTING REVIEW, 2011, 11 (04): : 60 - 70
  • [8] Using Semantic Web Resources for Data Quality Management
    Fuerber, Christian
    Hepp, Martin
    KNOWLEDGE ENGINEERING AND MANAGEMENT BY THE MASSES, EKAW 2010, 2010, 6317 : 211 - 225
  • [9] Aggregation of bioinformatics data using Semantic Web technology
    Stephens, Susie
    LaVigna, David
    DiLascio, Mike
    Luciano, Joanne
    JOURNAL OF WEB SEMANTICS, 2006, 4 (03): : 216 - 221
  • [10] Towards a semantic PACS: Using Semantic Web technology to represent imaging data
    Van Soest, Johan
    Lustberg, Tim
    Grittner, Detlef
    Marshall, M. Scott
    Persoon, Lucas
    Nijsten, Bas
    Fel Tens, Peter
    Dekker, Andre
    E-HEALTH - FOR CONTINUITY OF CARE, 2014, 205 : 166 - 170