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- 17 creator giovanni-tummarello.
- 17 creator michele-catasta.
- 17 creator nickolai-toupikov.
- 17 creator renaud-delbru.
- 17 creator stefan-decker.
- 17 type InProceedings.
- 17 label "Hierarchical Link Analysis for Ranking Web Data".
- 17 sameAs 17.
- 17 abstract "On the Web of Data, entities are often interconnected in a way similar to web documents. Previous works have shown how PageRank can be adapted to achieve entity ranking. In this paper, we propose to exploit locality on the Web of Data by taking a layered approach, similar to hierarchical PageRank approaches. We provide justifications for a two-layer model of the Web of Data, and introduce DING (Dataset Ranking) a novel ranking methodology based on this two-layer model. DING uses links between datasets to compute dataset ranks and combines the resulting values with semantic-dependent entity ranking strategies. We quantify the effectiveness of the approach with other link-based algorithms on large datasets coming from the Sindice search engine. The evaluation which includes a user study indicates that the resulting rank is better than the other approaches. Also, the resulting algorithm is shown to have desirable computational properties such as parallelisation.".
- 17 hasAuthorList authorList.
- 17 isPartOf proceedings.
- 17 keyword "Data Locality".
- 17 keyword "Hierarchical Link Analysis".
- 17 keyword "Web of Data".
- 17 keyword "Weighted PageRank".
- 17 title "Hierarchical Link Analysis for Ranking Web Data".