Welcome to the InfoSci Platform
Reference Hub2
Multi-Target Search on Semantic Associations in Linked Data

Multi-Target Search on Semantic Associations in Linked Data

Xiang Zhang, Erjing Lin, Yulian Lv
Copyright: © 2018 |Volume: 14 |Issue: 1 |Pages: 27
ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781522542902|DOI: 10.4018/IJSWIS.2018010103
Cite Article Cite Article

MLA

Zhang, Xiang, et al. "Multi-Target Search on Semantic Associations in Linked Data." IJSWIS vol.14, no.1 2018: pp.71-97. http://doi.org/10.4018/IJSWIS.2018010103

APA

Zhang, X., Lin, E., & Lv, Y. (2018). Multi-Target Search on Semantic Associations in Linked Data. International Journal on Semantic Web and Information Systems (IJSWIS), 14(1), 71-97. http://doi.org/10.4018/IJSWIS.2018010103

Chicago

Zhang, Xiang, Erjing Lin, and Yulian Lv. "Multi-Target Search on Semantic Associations in Linked Data," International Journal on Semantic Web and Information Systems (IJSWIS) 14, no.1: 71-97. http://doi.org/10.4018/IJSWIS.2018010103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

In this article, the authors propose a novel search model: Multi-Target Search (MT search in brief). MT search is a keyword-based search model on Semantic Associations in Linked Data. Each search contains multiple sub-queries, in which each sub-query represents a certain user need for a certain object in a group relationship. They first formularize the problem of association search, and then introduce their approach to discover Semantic Associations in large-scale Linked Data. Next, they elaborate their novel search model, the notion of Virtual Document they use to extract linguistic features, and the details of search process. The authors then discuss the way search results are organized and summarized. Quantitative experiments are conducted on DBpedia to validate the effectiveness and efficiency of their approach.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.