TY - JOUR
T1 - Adlet
T2 - 16th International Conference on Data Engineering
AU - Chang, Shi Kuo
AU - Znati, Taieb
N1 - Funding Information:
The research of S.-K. Chang was supported in part by the US National Science Foundation under grant IRI-9224563, “An Active Image Information System for Biomedical Image Databases,” and supplementary award IIS-9841137, “A Plant Genome Information Assistant.” The virtual graph updating algorithm was developed by Miyawaki Kosuke. The Adlet prototype system is being developed by Ping-Wen Chen, Guanlin Shen, and Longjiang Yang.
PY - 2001/1
Y1 - 2001/1
N2 - A new approach is described for the fusion of multimedia information based on the concept of active documents advertising on the Internet, whereby the metadata of a document travels in the network to seek out documents of interest to the parent document and, at the same time, advertises its parent document to other interested documents. This abstraction of metadata is called an adlet, which is the core of our approach. Two important features make this approach applicable to multimedia information fusion, information retrieval, data mining, geographic information systems, and medical information systems: 1) any document, including a web page, database record, video file, audio file, image and even paper documents, can be enhanced by an adlet and become an active document, and 2) any node in a nonactive network can be enhanced by adlet-savvy software and the adlet-enhanced node can coexist with other nonenhanced nodes. An experimental prototype provides a testbed for feasibility studies in a hybrid active network environment.
AB - A new approach is described for the fusion of multimedia information based on the concept of active documents advertising on the Internet, whereby the metadata of a document travels in the network to seek out documents of interest to the parent document and, at the same time, advertises its parent document to other interested documents. This abstraction of metadata is called an adlet, which is the core of our approach. Two important features make this approach applicable to multimedia information fusion, information retrieval, data mining, geographic information systems, and medical information systems: 1) any document, including a web page, database record, video file, audio file, image and even paper documents, can be enhanced by an adlet and become an active document, and 2) any node in a nonactive network can be enhanced by adlet-savvy software and the adlet-enhanced node can coexist with other nonenhanced nodes. An experimental prototype provides a testbed for feasibility studies in a hybrid active network environment.
KW - Active document
KW - Active index system
KW - Information fusion
UR - http://www.scopus.com/inward/record.url?scp=0035044747&partnerID=8YFLogxK
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U2 - 10.1109/69.908984
DO - 10.1109/69.908984
M3 - Conference article
AN - SCOPUS:0035044747
SN - 1041-4347
VL - 13
SP - 112
EP - 123
JO - IEEE Transactions on Knowledge and Data Engineering
JF - IEEE Transactions on Knowledge and Data Engineering
IS - 1
Y2 - 29 February 2000 through 3 March 2000
ER -