Improving Entity Retrieval on Structured Data

@article{Fetahu2015ImprovingER,
  title={Improving Entity Retrieval on Structured Data},
  author={Besnik Fetahu and Ujwal Gadiraju and Stefan Dietze},
  journal={ArXiv},
  year={2015},
  volume={abs/1703.10349}
}
  • Besnik Fetahu, Ujwal Gadiraju, Stefan Dietze
  • Published 2015
  • Computer Science
  • ArXiv
  • The increasing amount of data on the Web, in particular of Linked Data, has led to a diverse landscape of datasets, which make entity retrieval a challenging task. Explicit cross-dataset links, for instance to indicate co-references or related entities can significantly improve entity retrieval. However, only a small fraction of entities are interlinked through explicit statements. In this paper, we propose a two-fold entity retrieval approach. In a first, offline preprocessing step, we cluster… CONTINUE READING
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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 25 REFERENCES
    Combining inverted indices and structured search for ad-hoc object retrieval
    62
    Entity Recommendations in Web Search
    101
    Improving entity search over linked data by modeling latent semantics
    21
    Effective and Efficient Entity Search in RDF Data
    121
    Web object retrieval
    136
    Ad-hoc object retrieval in the web of data
    211
    Evaluating ad-hoc object retrieval
    53
    The Probabilistic Relevance Framework: BM25 and Beyond
    920