Database Applications in Non-Traditional Environments, International Symposium on (1999)
Nov. 28, 1999 to Nov. 30, 1999
Soichiro Hidaka , National Center for Science Information Systems
Hiroyuki Kato , National Center for Science Information Systems
Keizo Oyama , National Center for Science Information Systems
Current information retrieval (IR) is mainly focused on retrieving documents that have not been read before, and to our knowledge, no research has been conducted for querying against already read documents. For such documents, querying based on visual memory is often helpful. In this paper, a framework for querying structured documents by making use of human visual memory is proposed, and index structure suitable for such framework is presented. Specifically, we discuss our proposal in the context of personalization, where a vast amount of primary source documents is reconstructed for end-users reflecting their preferences. We also mention some clues to implement our framework as well as future directions.
human visual memory, structured documents, index structure, already read documents, information retrieval
H. Kato, K. Oyama and S. Hidaka, "Querying Structured Documents Based on Human Visual Memory," Database Applications in Non-Traditional Environments, International Symposium on(DANTE), Kyoto, Japan, 1999, pp. 267.