Despite the growth of the number of LOD datasets and the increasing variety of covered topical domains, most of the links connecting RDF resources of different datasets are identity links (often between descriptions that match perfectly) and a high number of datasets still do not contain out-links. The creation of different types of links and the process of analyzing the Linked Data space for new interlinking possibilities is time-consuming and tedious. CROWDKI is a crowd-powered approach to knowledge integration, which aims at supporting data publishers in designing new interlinking processes, as well as validating and enhancing automatically computed links.

Example microtask for interlinking relevance assessment: https://tasks.crowdflower.com/channels/cf_internal/jobs/706374/work?secret=qh2MVSz%2FRndLeqaziPFhrrk4cXP%2Flccsb%2BXAryrnBtOB

Example microtask for interlinking validation and enhancement: https://tasks.crowdflower.com/assignments/3a216788-2ad0-420c-a78b-b4cb7ce648d0

Copyright Cristina Sarasua.

The code developed within CROWDKI is licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

However, the software executes HTTP requests to the CrowdFlower API (https://success.crowdflower.com/hc/en-us/articles/202703445-Integrating-with-the-API), under a research license. Further crowdsourcing platforms could be integrated creating additional implementations of the MicrotaskPublisher and InterlinkResultReader interfaces.

If you have questions or comments, please write an email to Cristina Sarasua ([email protected]).

The research leading to these results has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 611242 Sense4Us