Classification of Durian Characteristics for Semantic Representation from Web Documents

被引：0

作者：

Abu Bakar, Zainab ^{[1
]}

Ismail, Khairul Nurmazianna ^{[1
]}

机构：

[1] Fac Comp & Math Sci, Dept Comp Sci, Shah Alam, Selangor, Malaysia

来源：

2012 IEEE SYMPOSIUM ON E-LEARNING, E-MANAGEMENT AND E-SERVICES (IS3E 2012) | 2012年

关键词：

semantic; Durian; !text type='HTML']HTML[!/text; RDF;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Web contains enormous size of information that is represented in various document structures. The information is scattered and redundant. Currently, search engine is the main medium for retrieving this information. Yet, the most popular search engine cannot satisfy user query. Alternatively, semantic technology can alleviate this problem. In this paper, only relevant web HTML documents on durian also known as king of fruits are chosen. The characteristics of durian will be extracted from those HTML documents. These characteristics are then employed in semantic representation and stored along with their Uniform Resource Identifier (URI) in Resource Description Framework (RDF). The RDF provides the ontology link to many other web documents on durian. Experiment on 40 HTML documents provides eleven new characteristics of durian that can be represent in RDF for semantic search engine.

引用

页码：111 / 115

页数：5

共 50 条

[1] Semantic Annotation for the "on demand graphical representation" of variable data in Web documents
Ben Chaabene, Nour ElHouda
Guetari, Ramzi
2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2016, : 3417 - 3422
[2] Characteristics Classification of Durian Varieties Images for Knowledge Representation by Using Conceptual Graph
1600, Springer Verlag (8870):
[3] Characteristics Classification of Durian Varieties Images for Knowledge Representation by Using Conceptual Graph
Ibrahim, Nur Syafikah
Abu Bakar, Zainab
Abd Rahman, Nurazzah
INFORMATION RETRIEVAL TECHNOLOGY, AIRS 2014, 2014, 8870 : 124 - 135
[4] Ontology based Fuzzy Classification of Web Documents for Semantic Information Retrieval
Joshi, Kajal
Verma, Ashish
Kandpal, Ankita
Garg, Shalini
Chauhan, Rashmi
Goudar, R. H.
2013 SIXTH INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING (IC3), 2013, : 1 - 5
[5] Semantic Summarization of Web Documents
d'Acierno, A.
Moscato, V.
Persia, F.
Picariello, A.
Penta, A.
2010 IEEE FOURTH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2010), 2010, : 430 - 435
[6] Acquiring semantic sibling associations from web documents
Department of Knowledge Management Research, German Research Center for Artificial Intelligence , Germany
不详
Int. J. Data Warehouse. Min., 2007, 4 (83-98):
[7] Graph vs. bag representation models for the topic classification of web documents
Papadakis, George
Giannakopoulos, George
Paliouras, Georgios
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2016, 19 (05): : 887 - 920
[8] Graph vs. bag representation models for the topic classification of web documents
George Papadakis
George Giannakopoulos
Georgios Paliouras
World Wide Web, 2016, 19 : 887 - 920
[9] SNExtractor: A Prototype for Extracting Semantic Networks from Web Documents
Zhang, Chi
Wang, Yanhua
Wang, Chengyu
Cheng, Wenliang
He, Xiaofeng
WEB-AGE INFORMATION MANAGEMENT, PT II, 2016, 9659 : 527 - 530
[10] Semantic based clustering of web documents
Lin, TY
Chiang, IJ
2005 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2, 2005, : 189 - 192

← 1 2 3 4 5 →