Automatically constructing semantic link network on documents | Zendy

Zhuge Hai | Zendy; Zhang Junsheng | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

Automatically constructing semantic link network on documents

Author(s) -

Zhuge Hai,

Zhang Junsheng

Publication year - 2010

Publication title -

concurrency and computation: practice and experience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.309

H-Index - 67

eISSN - 1532-0634

pISSN - 1532-0626

DOI - 10.1002/cpe.1624

Subject(s) - computer science , set (abstract data type) , information retrieval , semantic network , semantic computing , probabilistic logic , probabilistic latent semantic analysis , artificial intelligence , semantic web , programming language

Knowing semantic links among resources is the basis of realizing machine intelligence over large‐scale resources. Discovering semantic links among resources with limited human interference is a challenge issue. This paper proposes an approach to automatically discovering and predicting semantic links in a document set based on a model of document semantic link network (SLN). The approach has the following advantages: it supports probabilistic relational reasoning; SLNs and the relevant rules automatically evolve; and, it can adapt to the update of the adopted techniques. The approach can support cyber space applications, such as documentation recommendation and relational queries, on large documents. Copyright © 2010 John Wiley & Sons, Ltd.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research