A flexible content adaptation system using a rule-based approach

被引:42
|
作者
He, Jiang [1 ]
Gao, Tong [1 ]
Hao, Wei [1 ]
Yen, I-Ling [1 ]
Bastani, Farokh [1 ]
机构
[1] Univ Texas, Dept Comp Sci, Richardson, TX 75083 USA
关键词
application-aware adaptation; rule-based processing; fuzzy and uncertainty; Web browsers;
D O I
10.1109/TKDE.2007.250590
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Content adaptation is an important technique for mobile devices. Existing content adaptation systems have been developed with specific adaptation goals. In this paper, we present an extensible content adaptation system, Xadaptor. We take a rule-based approach to facilitate extensible, systematic, and adaptive content adaptation. It integrates adaptation mechanisms for various content types and organizes them into the rule base. Rules are invoked based on the individual client information. We classify HTML page objects into structure, content, and pointer objects. Existing content adaptation techniques mainly focus on content objects and do not consider adaptation for structure and pointer objects. In Xadaptor, novel adaptation techniques for the structure object HTML table have been developed. We use fuzzy logic to model the adaptation quality and guide the adaptation decision. To demonstrate the feasibility of our approach, we have implemented a prototype system. Experimental studies show that Xadaptor is capable of on-the-fly content adaptation and is easily extensible.
引用
收藏
页码:127 / 140
页数:14
相关论文
共 50 条
  • [41] Visual Saliency Detection Using a Rule-Based Aggregation Approach
    Lopez-Alanis, Alberto
    Lizarraga-Morales, Rocio A.
    Sanchez-Yanez, Raul E.
    Martinez-Rodriguez, Diana E.
    Contreras-Cruz, Marco A.
    [J]. APPLIED SCIENCES-BASEL, 2019, 9 (10):
  • [42] A Fuzzy Rule-based System using a Patch-based Approach for Semantic Segmentation in Floor Plans
    Leon-Garza, Hugo
    Hagras, Hani
    Pena-Rios, Anasol
    Conway, Anthony
    Owusu, Gilbert
    [J]. IEEE CIS INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS 2021 (FUZZ-IEEE), 2021,
  • [43] On the customization of components: A rule-based approach
    Zhou, Jia
    Cooper, Kendra
    Ma, Hui
    Yen, I-Ling
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2007, 19 (09) : 1262 - 1275
  • [44] A Rule-based Approach for Student Modeling
    Liu, Hongyi
    Tang, Suqin
    Ma, Li
    [J]. FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS, 2008, : 526 - 530
  • [45] Rule-based medical content extraction and classification
    Mykowiecka, A
    Kupsc, A
    Marciniak, M
    [J]. INTELLIGENT INFORMATION PROCESSING AND WEB MINING, PROCEEDINGS, 2005, : 237 - 245
  • [46] RULE-BASED APPROACH TO VARIATIONAL GEOMETRY
    ALDEFELD, B
    [J]. COMPUTER-AIDED DESIGN, 1986, 18 (07) : 390 - 390
  • [47] An approach to rule-based knowledge extraction
    Jin, YC
    von Seelen, W
    Sendhoff, B
    [J]. 1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2, 1998, : 1188 - 1193
  • [48] A rule-based approach to image retrieval
    Mehta, D
    Diwakar, ESVNLS
    Jawahar, CV
    [J]. IEEE TENCON 2003: CONFERENCE ON CONVERGENT TECHNOLOGIES FOR THE ASIA-PACIFIC REGION, VOLS 1-4, 2003, : 586 - 590
  • [49] A Rule-Based Approach to Framework Evolution
    Cortes, Mariela
    Fontoura, Marcus
    Lucena, Carlos
    [J]. JOURNAL OF OBJECT TECHNOLOGY, 2006, 5 (01): : 83 - 103
  • [50] Rule-Based Approach to Computational Stylistics
    Stanczyk, Urszula
    [J]. SECURITY AND INTELLIGENT INFORMATION SYSTEMS, 2012, 7053 : 168 - 179