| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 408220 | Neurocomputing | 2016 | 4 Pages |
Social Network Ranker (SoNeR) is software that retrieves, from the Semantic Web, documents describing people (users) and ranks them based on their popularity. It provides supportive tools for obtaining the related FOAF/RDF documents, parsing them, detecting identity synonyms and ranking people. The software is developed and implemented in the Java environment; and consists of the following modules: (1) semantic web crawler (collects FOAF/RDF documents), (2) document parser (extracts relevant information from FOAF/RDF documents), (3) synonym identity tagger (used to manually tag synonym pairs), (4) identity synonym merge and detection (5) ranking algorithms. While all these modules can be used separately, they are also unified in one Desktop GUI application.
