Taking Contextual Parameters into Account and Using RDF Patterns for the Semantic Web Image Annotation

被引:0
作者
Jaouachi, Rim Teyeb [1 ,2 ]
Khemakhem, Mouna Torjmen [1 ]
Ben Jemaa, Maher [1 ]
Haemmerle, Ollivier [2 ]
Hernandez, Nathalie [2 ]
机构
[1] Univ Sfax, Natl Sch Engn Sfax, ReDCAD Lab, Sfax, Tunisia
[2] Univ Toulouse Jean Jaures, IRIT, Toulouse, France
来源
ENTERPRISE INFORMATION SYSTEMS (ICEIS 2015) | 2015年 / 241卷
关键词
Semantic annotation; RDF patterns; Information retrieval; Domain ontology; ONTOLOGY;
D O I
10.1007/978-3-319-29133-8_16
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Semantic annotation of web resources presents a solution to pass from traditional web to future semantic web. Indeed, it is a process which allows to formalize extracted interpretations from web resources. In this paper, we present a new method allowing the semantic annotation of web extracted from the web. The originality of our approach lies in two points. The first point is the use of several contextual factors surrounding the image to annotate it. The second point is the construction and the instantiation of RDF (Resource Description Framework) patterns. Each pattern presents a group of information related to threaten domain. In our experimentations, we are interesting to cinema domain.
引用
收藏
页码:328 / 344
页数:17
相关论文
共 30 条
  • [1] Abacha A.B., 2010, ATELIER WEB SEMANTIQ
  • [2] [Anonymous], 2002, 40 ANN M ASS COMP LI
  • [3] Arndt R, 2007, LECT NOTES COMPUT SC, V4825, P30
  • [4] Bechhofer S., 2001, WORKSH KNOWL MARK SM
  • [5] EXPLOITING INTELLIGENT CONTENT VIA AXMEDIS/MPEG-21 FOR MODELLING AND DISTRIBUTING NEWS
    Bellini, Pierfrancesco
    Bruno, Ivan
    Nesi, Paolo
    [J]. INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2011, 21 (01) : 3 - 32
  • [6] BOURIGAULT D, 1995, P 9 KNOWL ACQ KNOWL
  • [7] Cusano C, 2004, PROC SPIE, V5304, P330
  • [8] Declerck T., 2004, P EUR WORKSH INT KNW
  • [9] Garofalakis M, 2000, SIGMOD REC, V29, P165, DOI 10.1145/335191.335409
  • [10] Gerber D., 2012, Knowledge Engineering and Knowledge Management, P87