Logic-Based Retrieval: Technology for Content-Oriented and Analytical Querying of Patent Data

Author:

Klampanos Iraklis Angelos,Wu Hengzhi,Roelleke Thomas,Azzam Hany

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Callan, J.: Distributed information retrieval. In: Advances in Information Retrieval, pp. 127–150. Kluwer Academic Publishers, Dordrecht (2000)

2. Fuhr, N.: Probabilistic datalog - a logic for powerful retrieval methods. In: Fox, E., Ingwersen, P., Fidel, R. (eds.) Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 282–290. ACM, New York (1995)

3. Roelleke, T., Fuhr, N.: Information retrieval with probabilistic datalog. In: Crestani, F., Lalmas, M., Rijsbergen, C.J. (eds.) Uncertainty and Logics - Advanced models for the representation and retrieval of information. Kluwer Academic Publishers, Dordrecht (1998)

4. Roelleke, T., Wu, H., Wang, J., Azzam, H.: Modelling retrieval models in a probabilistic relational algebra with a new operator: The relational Bayes. VLDB Journal 17(1), 5–37 (2008)

5. Wu, H., Kazai, G., Roelleke, T.: Modelling anchor text retrieval in book search based on back-of-book index. In: SIRIG Workshop on Focused Retrieval, pp. 51–58 (2008)

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