
Abstract
Various query languages for Web and Semantic Web data, both for practical use and as an area of research in the scientific community, have emerged in recent years. At the same time, the broad adoption of the internet where keyword search is used in many applications, e.g. search engines, has familiarized casual users with using keyword queries to retrieve information on the internet. Unlike this easy-to-use querying, traditional query languages require knowledge of the language itself as well as of the data to be queried. Keyword-based query languages for XML and RDF bridge the gap between the two, aiming at enabling simple querying of semi-structured data, which is relevant e.g. in the context of the emerging Semantic Web. This article presents an overview of the field of keyword querying for XML and RDF.
Item Type: | Paper |
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EU Funded Grant Agreement Number: | 211932 |
EU Projects: | 7. Framework Programme (FP7) |
Form of publication: | Submitted Version |
Keywords: | query languages, keyword query languages, label-keyword query languages, Web query languages, Semantic Web, social software, social media |
Faculties: | Mathematics, Computer Science and Statistics > Computer Science |
Subjects: | 000 Computer science, information and general works > 004 Data processing computer science |
URN: | urn:nbn:de:bvb:19-epub-14899-5 |
Language: | English |
Item ID: | 14899 |
Date Deposited: | 19. Apr 2013, 10:09 |
Last Modified: | 13. Aug 2024, 12:51 |