Abstract
Similar Link Network (SiLN) is a semantic over layer on Web resources with similar relations instead of hyperlinks, which aims at providing plentiful semantics for intelligent Web activities. However, SiLN is difficult to be built based on cosine computation in large-scale Web resources due to its high building time complexity and weak connectivity. Herein, three strategies are proposed to address those issues. First, dividing and conquering strategy is applied to divide the large-scale Web resources into amounts of rough similar communities, which reduces SiLN's building time complexity significantly. After that, a multi-level structure network is designed to effectively manage the large-scale Web resources to guarantee SiLN's connectivity. Finally, two-level feedback with isolated resources strategy is developed to improve the accuracy of the building of SiLN. Experimental results have proved that our proposed method of building SiLN is feasible and efficient, with the merits of low complexity, good connectivity and high precision.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
