Efficient web browsing with semantic annotation: A case study of product images in e-commerce sites
- Authors
- Jung, Jason J.; Lee, KS; Park, SB; Jo, GS
- Issue Date
- May-2005
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- web browsing; semantic annotation; user intention modeling; comparison shopping
- Citation
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E88D, no.5, pp 843 - 850
- Pages
- 8
- Journal Title
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Volume
- E88D
- Number
- 5
- Start Page
- 843
- End Page
- 850
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37648
- DOI
- 10.1093/ietisy/e88-d.5.843
- ISSN
- 1745-1361
- Abstract
- Web browsing task is based on depth-first searching scheme, so that searching relevant information from Web may be very tedious. In this paper, we propose personal browsing assistant system based on user intentions modeling. Before explicitly requested by a user, this system can analyze the prefetched resources from the hyperlinked Webpages and compare them with the estimated user intention, so that it can help him to make a better decision like which Webpage should be requested next. More important problem is the semantic heterogeneity between Web spaces. It makes the understandability of locally annotated resources more difficult. We apply semantic annotation, which is a transcoding procedure with the global ontology. Therefore, each local metadata can be semantically enriched, and efficiently comparable. As testing bed of our experiment, we organized three different online clothes stores whose images are annotated by semantically heterogeneous metadata. We simulated virtual customers navigating these cyberspaces. According to the predefined preferences of customer models, they conducted comparison-shopping. We have shown the reasonability of supporting the Web browsing, and its performance was evaluated as measuring the total size of browsed hyperspace.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37648)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.