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, and which require up-front data integration. At the other extreme, existing solutions employ keyword search queries over relational databases, as well as over semistructured data, which are too imprecise to specify exactly the user's intent. To address these limitations, we propose an alternative search paradigm in order
comparison features in real time. In addition the img(Rummager) application can execute a hybrid search of images from the application server, combining keyword information and visual similarity. Also img(Rummager) supports easy retrieval evaluation based on the normalized modified retrieval rank (NMRR) and average precision
This paper presents metadata extraction technique from email documents. Emails are characterized in terms of keywords that are extracted from body of the mail using frequency, average similarity and term discrimination value measures. The email metadata is defined as a document type definition (DTD) in extensible
retrieval multimedia annotated documents. This system combines four retrieval modalities: first by keywords, second by visual graph, third Query by Resources and finally using standardized languages.
The DICOM standard has become a widely accepted and implemented format for the exchange and storage of medical imaging data. Different imaging modalities are supported however there is not a dedicated solution for thermal infrared imaging in medicine. In this article we propose new ideas and improvements to final
such as the server module and client module. The proposed approach is evaluated using various parameters such as the precision, recall and F-measure. Comprehensive results are achieved by varying the keywords, number of documents and the K-size. The proposed approach has yielded excellent results by obtaining the higher
to the quality of the information. Traditional search engine that uses keyword to search for information about the meaning of a word or a sentence often produce biased and irrelevant search results. Ontology has been developed to overcome this problem. In this paper an ontology framework is presented, which was
results based on keywords entered by the user. We analyse the results of our proposed repository implementation average searching time is faster by 0.85 milliseconds compared with the repository based on the unstructured one.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.