What is it about?

The paper is about the construction of large knowledge graphs by mining concepts and concept relations from search engine results. Several metrics were proposed for evaluating the knowledge graphs extracted from commercial search engines.

Featured Image

Why is it important?

The method for constructing knowledge graphs from search engine results is very efficient. The evaluation of the knowledge graphs extracted from commercial search engines offers anew perspectives on the differences in the search quality of the search engines.

Perspectives

The paper offers a practical way to construct knowledge graphs. You can control the domain of the knowledge graph by controlling the concepts used in querying the search engines. The method is efficient but may not be sophisticated enough to filter out noise. The assurance of the quality of the knowledge is an important future research.

Dik Lun Lee

Read the Original

This page is a summary of: Constructing Maintainable Semantic Relation Network from Ambiguous Concepts in Web Content, ACM Transactions on Internet Technology, February 2016, ACM (Association for Computing Machinery),
DOI: 10.1145/2814568.
You can read the full text:

Read

Contributors

The following have contributed to this page