Combining linked data and statistical information retrieval: Next generation information systems

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

Being a part of the Information Age, users are challenged with a tremendously growing amount of Web data which generates a need for more sophisticated information retrieval systems. The Semantic Web provides necessary procedures to augment the highly unstructured Web with suitable metadata in order to leverage search quality and user experience. In this article, we will outline an approach for creating a web-scale, precise and efficient information system capable of understanding keyword, entity and natural language queries. By using Semantic Web methods and Linked Data the doctoral work will present how the underlying knowledge is created and elaborated searches can be performed on top.

Original languageEnglish
Title of host publicationThe Semantic Web : Trends and Challenges - 11th International Conference, ESWC 2014, Proceedings
EditorsValentina Presutti, Claudia d'Amato, Fabien Gandon, Matthieu d'Aquin, Steffen Staab, Anna Tordai
Number of pages10
PublisherSpringer-Verlag Wien
Publication date01.01.2014
Pages845-854
ISBN (print)978-3-319-07442-9
ISBN (electronic)978-3-319-07443-6
DOIs
Publication statusPublished - 01.01.2014
Externally publishedYes
Event11th International Conference on Semantic Web: Trends and Challenges - Anissaras, Crete, Greece
Duration: 25.05.201429.05.2014
Conference number: 11
https://2014.eswc-conferences.org/index.html

Bibliographical note

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