By Philip S. Yu, Kun-Lung Wu, Shyh-Kwei Chen (auth.), Jeffrey Xu Yu, Xuemin Lin, Hongjun Lu, Yanchun Zhang (eds.)
The Asia-Paci?c sector has emerged in recent times as one of many quickest g- wing areas on this planet within the use of internet applied sciences in addition to in making signi?cant contributions to WWW learn and improvement. because the ?rst Asia-Paci?c internet convention in 1998, APWeb has persisted to supply a discussion board for researchers, pros, and commercial practitioners from around the globe to percentage their quickly evolving wisdom and to document new advances in WWW applied sciences and functions. APWeb 2004 obtained an overpowering 386 full-paper submissions, together with 375 learn papers and eleven commercial papers from 20 nations and areas: A- tralia,Canada,China,France,Germany,Greece,HongKong,India,Iran,Japan, Korea, Norway, Singapore, Spain, Switzerland, Taiwan, Turkey, united kingdom, united states, and Vietnam. each one submission was once rigorously reviewed through 3 individuals of the p- gram committee. one of the 386 submitted papers, 60 standard papers, 24 brief papers, 15 poster papers, and three business papers have been chosen to be incorporated within the court cases. the chosen papers conceal quite a lot of subject matters together with net providers, internet intelligence, internet personalization, internet question processing, internet - ching, internet mining, textual content mining, info mining and data discovery, XML database and question processing, work?ow administration, E-commerce, facts - rehousing, P2P structures and functions, Grid computing, and networking. The paper entitled “Towards Adaptive Probabilistic seek in Unstructured P2P - stems”, co-authored by way of Linhao Xu, Chenyun Dai, Wenyuan Cai, Shuigeng Zhou, and Aoying Zhou, used to be offered the simplest APWeb 2004 pupil paper.
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Extra info for Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference, APWeb 2004, Hangzhou, China, April 14-17, 2004. Proceedings
In the first step, the browser makes a search request to the MDM to find objects of interest. The MDM returns a list of URLs for the objects that satisfy the search. The URL returned contains both the ObjID and the access token. The browser then presents a list of choices (URL’s) to the end user. In step 4, the user selects an object of interest and clicks the URL referencing the object. This triggers a request to the WAS, which 3 For example, user clicks on one of the URL’s returned from the search.
Matching results are returned to the browser as a set of URL’s that reference the movies managed by the object manager. If the browser clicks on one of the returned URL’s, a retrieval request is generated and sent to the object manager (via WAS). The object manager then processes the request and retrieves/sends the movie back to the browser. 2 Access Control Mechanism To enforce access control, the MDM manages a set of users and groups (optionally via LDAP) and sets users’ access privileges on the stored objects.
2, pp. 117-134, 2000. Elsevier Science. June 2000. Shazia Sadiq, Olivera Marjanovic, Maria Orlowska. Managing Change and Time in Dynamic Workflow Processes. The International Journal of Cooperative Information Systems. Vol. 9, Nos. 1 & 2. March 2000. K. Schulz, M. Orlowska. Towards a Cross-Organisational Workflow Model, 3rd IFIP Working Conference on Infrastructures for Virtual Enterprises, Lisbon, Portugal, 1-3 May 2002. Edited by Luis M. Camarinha-Matos “Collaborative Business Ecosystems and Virtual Enterprises”.
Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference, APWeb 2004, Hangzhou, China, April 14-17, 2004. Proceedings by Philip S. Yu, Kun-Lung Wu, Shyh-Kwei Chen (auth.), Jeffrey Xu Yu, Xuemin Lin, Hongjun Lu, Yanchun Zhang (eds.)