Abstract

Current retrieval and recommendation approaches rely on hard-wired data models. This hinders personalized customizations to meet information needs of users in a more flexible manner. Therefore, the paper investigates how similarity-based retrieval strategies can be combined with graph queries to enable users or system providers to explore repositories in the Linked Open Data (LOD) cloud more thoroughly. For this purpose, we developed novel content-based recommendation approaches. They rely on concept annotations of Simple Knowledge Organization System (SKOS) vocabularies and a SPARQL-based query language that facilitates advanced and personalized requests for openly available knowledge graphs. We have comprehensively evaluated the novel search strategies in several test cases and example application domains (ie, travel search and multimedia retrieval). The results of the web-based …

Date

2019

Authors

Mayank Kejriwal, Vanessa Lopez, Juan F Sequeda, Lisa Wenige, Johannes Ruhland

Journal

Semantic Web (1570-0844)

Volume

10

Issue

6