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  • × classification_ss:"025.04 / dc23"
  • × classification_ss:"QA75.5-76.95"
  1. Crestani, F.; Mizzaro, S.; Scagnetto, I,: Mobile information retrieval (2017) 0.00 
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    Abstract
    This book offers a helpful starting point in the scattered, rich, and complex body of literature on Mobile Information Retrieval (Mobile IR), reviewing more than 200 papers in nine chapters. Highlighting the most interesting and influential contributions that have appeared in recent years, it particularly focuses on both user interaction and techniques for the perception and use of context, which, taken together, shape much of today's research on Mobile IR. The book starts by addressing the differences between IR and Mobile IR, while also reviewing the foundations of Mobile IR research. It then examines the different kinds of documents, users, and information needs that can be found in Mobile IR, and which set it apart from standard IR. Next, it discusses the two important issues of user interfaces and context-awareness. In closing, it covers issues related to the evaluation of Mobile IR applications. Overall, the book offers a valuable tool, helping new and veteran researchers alike to navigate this exciting and highly dynamic area of research.
    LCSH
    Information storage and retrieval
    RSWK
    Information Retrieval
    Subject
    Information Retrieval
    Information storage and retrieval
  2. Semantic keyword-based search on structured data sources : COST Action IC1302. Second International KEYSTONE Conference, IKC 2016, Cluj-Napoca, Romania, September 8-9, 2016, Revised Selected Papers (2017) 0.00 
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    Abstract
    This book constitutes the thoroughly refereed post-conference proceedings of the Second COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2016, held in Cluj-Napoca, Romania, in September 2016. The 15 revised full papers and 2 invited papers are reviewed and selected from 18 initial submissions and cover the areas of keyword extraction, natural language searches, graph databases, information retrieval techniques for keyword search and document retrieval.
    Content
    Inhalt: Retrieval, Crawling and Fusion of Entity-centric Data on the Web / Dietze, Stefan - Data Multiverse: The Uncertainty Challenge of Future Big Data Analytics / Tudoran, Radu (et al.) - Experiments with Document Retrieval from Small Text Collections Using Latent Semantic Analysis or Term Similarity with Query Coordination and Automatic Relevance Feedback / Layfield, Colin (et al.) - Unsupervised Extraction of Conceptual Keyphrases from Abstracts / Ludwig, Philipp (et al.) - Back to the Sketch-Board: Integrating Keyword Search, Semantics, and Information Retrieval / Azzopardi, Joel (et al.) - Topic Detection in Multichannel Italian Newspapers / Po, Laura (et al.) - Random Walks Analysis on Graph Modelled Multimodal Collections / Sabetghadam, Serwah (et al.) - A Software Processing Chain for Evaluating Thesaurus Quality / Lacasta, Javier (et al.) - Comparison of Collaborative and Content-Based Automatic Recommendation Approaches in a Digital Library of Serbian PhD Dissertations / Azzopardi, Joel (et al.) - Keyword-Based Search on Bilingual Digital Libraries / Stankovic, Ranka (et al.) - Network-Enabled Keyword Extraction for Under-Resourced Languages / Beliga, Slobodan (et al.) - Making Sense of Citations / Koulouri, Xenia (et al.) - An Ontology-Based Approach to Information Retrieval / Mestrovic, Ana (et al.) - Game with a Purpose for Verification of Mappings Between Wikipedia and WordNet / Boinski, Tomasz - TB-Structure: Collective Intelligence for Exploratory Keyword Search / Terziyan, Vagan (et al.) - Using Natural Language to Search Linked Data / Rozinajová, Viera (et al.) - The Use of Semantics in the CrossCult H2020 Project / Bampatzia, Stavroula (et al.) Vgl. auch: http://www.keystone-cost.eu/ikc2016/program.php.
    LCSH
    Information storage and retrieval
    Series
    Lecture notes in computer science / Information Systems and Applications, incl. Internet/Web, and HCI ; 10151
    Subject
    Information storage and retrieval

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