Document retrieval

About: Document retrieval is a research topic. Over the lifetime, 6821 publications have been published within this topic receiving 214383 citations.

Method and apparatus for multi-modal document retrieval in the computer network

Abstract: In one embodiment, a method for retrieving documents from a computer network includes receiving an indication of a document selection performed by a user and, upon receiving this indication, displaying to the user a list of available data exchange modes. The document selection identifies a desired file reference that is contained within a document displayed to the user. The method further includes determining a data exchange mode that the user chose specifically for the desired file reference and ensuring that a request to retrieve data associated with the desired file reference from a server conforms to the data exchange mode chosen by the user. In one embodiment, the request to retrieve data is directed to a network server storing the data. Alternatively, the request to retrieve data is directed to a proxy server which modifies the request in accordance with the data exchange mode chosen by the user.

Learning in intelligent information retrieval

Abstract: Information retrieval (IR) systems are used for finding, within a large text database, those documents containing information needed by a user. The complex and poorly understood semantics of documents and user queries has made feedback and adaptation important characteristics of IR systems. In this paper we briefly survey previous research on machine learning in IR systems and discuss promising areas for future research at the intersection of these two fields.

Retrieval schedules based on resource availability and flexible presentation specifications

Abstract: A distributed multimedia document presentation involves retrieval of objects from one or more document servers and their presentation at the client system. The presentation of the multimedia objects has to be carried out in accordance with the specification of temporal relationships between the objects. The retrieval of multimedia objects from the document server(s) is influenced by factors such as temporal specification of objects presentations, throughput offered by the network service provider, and the buffer resources on the client system. Flexibility in the temporal specification of the multimedia document may help in deriving an object retrieval schedule that can handle variations in network throughput and buffer resource availability. In this paper, we develop techniques for deriving a flexible object retrieval schedule for a distributed multimedia document presentation. The schedule is based on flexible temporal specification of the multimedia document using the difference constrai nts approach. We show how the derived retrieval schedule can be validated and modified to ensure that it can work with the offered network throughput and the available buffer resources.

WebMARS: a multimedia search engine

Abstract: The Web provides a large repository of multimedia data, text, images, etc. Most current search engines focus on textural retrieval. In this paper, we focus on using an integrated textural and visual search engine for Web documents. We support query refinement which proves useful and enables cross-media browsing in addition to regular search.