Rank web documents based on multi-domain ontology

Author:

Liu JinORCID,Zhou Mingji,Lin Li,Kim Hye-jin,Wang Jin

Funder

Shanghai Science & Technology Innovation Plan Fund

State Oceanic Administration China research fund project

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference29 articles.

1. Aleman-Meza B, Arpinar IB, Nural MV, Sheth AP (2010) Ranking documents semantically using ontological relationships. In: Semantic computing (ICSC), 2010 IEEE fourth international conference, pp 299–304

2. Bouramoul A, Kholladi MK, Doan BL (2011) How ontology can be used to improve semantic information retrieval: the AnimSe finder tool. Int J Comput Appl (IJCA) ISSN 97:5–8887

3. Bouramoul A, Kholladi MK, Doan BL (2012) An ontology-based approach for semantics ranking of the web search engines results. Int Conf Multimed Comput Syst 248:797–802

4. Du Y, Hai Y (2013) Semantic ranking of web documents based on formal concept analysis. J Syst Softw 86(1):187–197

5. Duhan N, Sharma AK, Bhatia KK (2009) Page ranking algorithms: a survey. In: Advance computing conference, 2009. IACC 2009. IEEE international, pp 1530–1537

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