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  1. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.02
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    Abstract
    The doctoral thesis of Tatiana Gossen formulates criteria and guidelines on how to design the user interfaces of search engines for children. In her work, the author identifies the conceptual challenges based on own and previous user studies and addresses the changing characteristics of the users by providing a means of adaptation. Additionally, a novel type of search result visualisation for children with cartoon style characters is developed taking children's preference for visual information into account.
    Date
    1. 2.2016 18:25:22
  2. Metadata and semantics research : 9th Research Conference, MTSR 2015, Manchester, UK, September 9-11, 2015, Proceedings (2015) 0.01
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    Content
    The papers are organized in several sessions and tracks: general track on ontology evolution, engineering, and frameworks, semantic Web and metadata extraction, modelling, interoperability and exploratory search, data analysis, reuse and visualization; track on digital libraries, information retrieval, linked and social data; track on metadata and semantics for open repositories, research information systems and data infrastructure; track on metadata and semantics for agriculture, food and environment; track on metadata and semantics for cultural collections and applications; track on European and national projects.
  3. 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) 0.01
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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.
  4. Crestani, F.; Mizzaro, S.; Scagnetto, I,: Mobile information retrieval (2017) 0.01
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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.