Semantic Keyword-based Search on Structured Data Sources First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers /
This book constitutes the thoroughly refereed post-conference proceedings of the First COST Action IC1302 International KEYSTONE Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised full papers, 3 revised short...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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Edición: | 1st ed. 2015. |
Colección: | Information Systems and Applications, incl. Internet/Web, and HCI ;
9398 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.