Abstract
Linked data is a decentralized space of interlinked Resource Description Framework (RDF) graphs that are published, accessed, and manipulated by a multitude of Web agents. Here, we present a multi-agent framework for mining hypothetical semantic relations from linked data, in which the discovery, management, and validation of relations can be carried out independently by different agents. These agents collaborate in relation mining by publishing and exchanging inter-dependent knowledge elements, e.g., hypotheses, evidence, and proofs, giving rise to an evidentiary network that connects and ranks diverse knowledge elements. Simulation results show that the framework is scalable in a multi-agent environment. Real-world applications show that the framework is suitable for interdisciplinary and collaborative relation discovery tasks in social domains.
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Recommended reading
Aleman-Meza, B., 2005. Ranking complex relationships on the Semantic Web. IEEE Internet Comput., 9(3):37–44. [doi:10.1109/MIC.2005.63]
Aleman-Meza, B., Nagarajan, M., Ramakrishnan, C., Ding, L., Kolari, P., Sheth, A.P., Arpinar, I.B., Joshi, A., Finin, T., 2006. Semantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detection. Proc. 15th Int. Conf. on World Wide Web, p.407–416. [doi:10.1145/1135777.1135838]
Anyanwu, K., Maduko, A., Sheth, A., 2007. SPARQ2L: Towards Support for Subgraph Extraction Queries in RDF Databases. Proc. 16th Int. Conf. on World Wide Web, p.797–806. [doi:10.1145/1242572.1242680]
Mukherjea, S., 2005. Information retrieval and knowledge discovery utilising a biomedical Semantic Web. Brief. Bioinform., 6(3):252–262.[doi:10.1093/bib/6.3.252]
Mukherjea, S., Bamba, B., Kankar, P., 2005. Information retrieval and knowledge discovery utilizing a biomedical patent Semantic Web. IEEE Trans. Knowl. Data Eng., 17(8):1099–1110. [doi:10.1109/TKDE.2005.130]
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Project supported by the National Natural Science Foundation of China (Nos. 61070156 and 61100183) and the Natural Science Foundation of Zhejiang Province, China (No. Y1110477)
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Chen, Hj., Yu, T., Zheng, Qz. et al. A multi-agent framework for mining semantic relations from linked data. J. Zhejiang Univ. - Sci. C 13, 295–307 (2012). https://doi.org/10.1631/jzus.C1101010
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DOI: https://doi.org/10.1631/jzus.C1101010