Document (#40489)

Author

Rozinajová, V.
Macko, P.

Title

Using natural language to search linked data

Source

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. Eds.: A. Calì, A. et al

Imprint

Springer International Publishing

Year

2017

Pages

S.179-189

Series

Information Systems and Applications, incl. Internet/Web, and HCI; 10151

Abstract

There are many endeavors aiming to offer users more effective ways of getting relevant information from web. One of them is represented by a concept of Linked Data, which provides interconnected data sources. But querying these types of data is difficult not only for the conventional web users but also for ex-perts in this field. Therefore, a more comfortable way of user query would be of great value. One direction could be to allow the user to use a natural language. To make this task easier we have proposed a method for translating natural language query to SPARQL query. It is based on a sentence structure - utilizing dependen-cies between the words in user queries. Dependencies are used to map the query to the semantic web structure, which is in the next step translated to SPARQL query. According to our first experiments we are able to answer a significant group of user queries.

Content

Vgl. auch: http://www.keystone-cost.eu/ikc2016/program.php.

Theme

Computerlinguistik

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