PageRank and Generic Entity Summarization for RDF Knowledge Bases
author: Dennis Diefenbach, University Jean Monnet, St Etienne
published: July 10, 2018, recorded: June 2018, views: 864
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Ranking and entity summarization are operations that are tightly connected and recurrent in many different domains. Possible application fields include information retrieval, question answering, named entity disambiguation, co-reference resolution, and natural language generation. Still, the use of these techniques is limited because there are few accessible resources. PageRank computations are resource-intensive and entity summarization is a complex research field in itself. We present two generic and highly reusable resources for RDF knowledge bases: a component for PageRank-based ranking and a component for entity summarization. The two components, namely PageRankRDF and SummaServer, are provided in form of open source code along with example datasets and deployments. In addition, this work outlines the application of the components for PageRank-based RDF ranking and entity summarization in the question answering project WDAqua.
Download slides: eswc2018_diefenbach_thalhammer_pagerank_01.pdf (3.2 MB)
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !
Reviews and comments:
Thanks to Andreas Thalhammer and Dennis Diefenbach, I have learned fundamental concepts of Generic Entity Summarization as well as PageRank. I have also worked on some exercises to increase the strength of my newly learned concepts and in this case, I have written a research paper along with my writer that I hired by reading reviews on https://edubirdie.org/edubirdie-legit/ about EduBirdie after reading this article I felt happy that I provided the right information in my research paper.
One of the most known and influential algorithms for computing the relevance of web pages is the Page Rank algorithm used by the Google search engine. An important part of your company is a competent digital marketing team structure, the absence of which will not take you far https://spdload.com/blog/digital-mark.... Look for yourself; right now, the online marketing concept is at its height.
wow nice video thanks for sharing very informative video but can we rank blog about Gymnastics Bars for Home Use
If Academon doesn't seem reliable for you, I recommend you to read some essay writing service reviews before. They can be quite useful to you in this situation.
Writers should also look at the other https://essaysservicesreviews.com since reviewers are unlikely to use the same terms again and over. They also don't copy-paste the essay writing service evaluations because the businesses would urge them to repeat certain phrases in many reviews.
I like www.topcvwritersuk.com website.
Another great resource for writing sites reviews is http://answered-questions.com/ with the added advantage of genuine recommendations
Write your own review or comment: