Mitigating Relation Completion Problem in Big Data Application
Abstract & Details
Research Area
Data Mining
Keywords
Context-aware relation extraction
relation completion
relation query expansion
information
extraction.
Abstract
Relation completion (RC) as one recurring problem in big data applications such as Entity Reconstruction and Data
Enrichment. Given a semantic relation R, RC attempts at linking entity pairs between two entity lists under the
relation R. To accomplish the RC goals, It formulate search queries for each query entity based on some auxiliary
information, so that to detect its target entity from the set of retrieved documents. For instance, a pattern-based
method (PaRE) uses extracted patterns as the auxiliary information in formulating search queries. However, high-
quality patterns may decrease the probability of finding suitable target entities. As an alternative, we find CoRE
method that uses context terms learned surrounding the expression of a relation as the auxiliary information in
formulating queries. The experimental results based on several real-world web data collections demonstrate that
CoRE reaches a much higher accuracy than PaRE for the purpose of RC (Relation completion).
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Deolekar Shweta R. | Sanjivani Rural Education Society College of Engineering, Kopargaon |
| 2 | Gonjare Shraddha M. | Sanjivani Rural Education Society College of Engineering, Kopargaon |
| 3 | Gaikwad Revati R. | Sanjivani Rural Education Society College of Engineering, Kopargaon |
| 4 | Bhor Priyanka M. | Sanjivani Rural Education Society College of Engineering, Kopargaon |
How to Cite
Use the following formats to cite this article in your research.
APA Style
R., Deolekar Shweta, M., Gonjare Shraddha, R., Gaikwad Revati, & M., Bhor Priyanka (2016). Mitigating Relation Completion Problem in Big Data Application. International Journal of Advance Research and Innovative Ideas In Education, 2(2), 378-385.
MLA Style
R., Deolekar Shweta, et al. "Mitigating Relation Completion Problem in Big Data Application." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 2, 2016, pp. 378-385.
IEEE Style
Deolekar Shweta R., Gonjare Shraddha M., Gaikwad Revati R., and Bhor Priyanka M., "Mitigating Relation Completion Problem in Big Data Application," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 2, pp. 378-385, 2016.
Vancouver Style
R. Deolekar Shweta, M. Gonjare Shraddha, R. Gaikwad Revati, M. Bhor Priyanka. Mitigating Relation Completion Problem in Big Data Application. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(2):378-385.
Harvard Style
R., Deolekar Shweta, M., Gonjare Shraddha, R., Gaikwad Revati, & M., Bhor Priyanka (2016) 'Mitigating Relation Completion Problem in Big Data Application', International Journal of Advance Research and Innovative Ideas In Education, 2(2), pp. 378-385.
Chicago Style
R., Deolekar Shweta, et al. "Mitigating Relation Completion Problem in Big Data Application." International Journal of Advance Research and Innovative Ideas In Education 2, no. 2 (2016): 378-385.
Turabian Style
R., Deolekar Shweta, et al. "Mitigating Relation Completion Problem in Big Data Application." International Journal of Advance Research and Innovative Ideas In Education 2, no. 2 (2016): 378-385.
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