Semantic Keyword-Based Search on Structured Data Sources, Andrea Cal?; Dorian Gorgan; Mart?n Ugarte
Автор: Jiaheng Lu Название: An Introduction to XML Query Processing and Keyword Search ISBN: 3642446078 ISBN-13(EAN): 9783642446078 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book systematically and comprehensively covers the latest advances in XML data searching. It presents an extensive overview of the current query processing and keyword search techniques on XML data.
Автор: Jorge Cardoso; Francesco Guerra; Geert-Jan Houben; Название: Semantic Keyword-based Search on Structured Data Sources ISBN: 3319279319 ISBN-13(EAN): 9783319279312 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Recommending Web Pages using Item-based Collaborative Filtering Approaches.- Processing Keyword Queries under Access Limitations.- Balanced Large Scale Knowledge Matching Using LSH Forest.- Improving css-KNN Classification Performance by Shifts in Training Data. Classification using various ML Methods and Combinations of Key-Phrases and Visual Features.- Mining Workflow Repositories for Improving Fragments Reuse.- Agile DBLP: A Search-based Mobile Application for Structured Digital Libraries.- Support of Part-whole Relations in Query Answering.- Key-Phrases as Means to Estimate Birth and Death Years of Jewish Text Authors.- Professional Collaborative Information Seeking: On Traceability and Creative Sensemaking.- Visualization of Uncertain Information in Tag Clouds.- Multimodal Image Retrieval Based on Keywords and Low-level Image Features.- Toward Optimized Multimodal Concept Indexing.- Semantic URL Analytics to Support Efficient Annotation of Large Scale Web Archives.- Indexing of textual databases based on lexical resources: A case study for Serbian.- Domain-specific modeling: Towards a Food and Drink Gazetteer.- Analysing Entity Context in Multilingual Wikipedia to Support Entity-Centric Retrieval Applications.
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