The Essence of Knowledge (bases) Through Entity Rankings

Ilieva, Evica; Michel, Sebastian; Stupar, Aleksandar

doi:10.1145/2505515.2507838

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

会議論文

The Essence of Knowledge (bases) Through Entity Rankings

MPS-Authors

/persons/resource/persons126990

Ilieva, Evica
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons45041

Michel, Sebastian
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons45568

Stupar, Aleksandar
Databases and Information Systems, MPI for Informatics, Max Planck Society;

External Resource

There are no locators available

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

フルテキスト (公開)

公開されているフルテキストはありません

付随資料 (公開)

There is no public supplementary material available

引用

Ilieva, E., Michel, S., & Stupar, A. (2013). The Essence of Knowledge (bases) Through Entity Rankings. In W., Nejdl, J., Pei, & R., Rastogi (Eds.), CIKM'13 (pp. 1537-1540). New York, NY: ACM. doi:10.1145/2505515.2507838.

引用: https://hdl.handle.net/11858/00-001M-0000-0015-1A33-A

要旨

We consider the task of automatically phrasing and computing top-k rankings over the information contained in common knowledge bases (KBs), such as YAGO or DBPedia. We assemble the thematic focus and ranking criteria of rankings by inspecting the present Subject, Predicate, Object (SPO) triples. Making use of numerical attributes contained in the KB we are also able to compute the actual ranking content, i.e., entities and their performances. We further discuss the integration of existing rankings into the ranking generation process for increased coverage and ranking quality. We report on first results obtained using the YAGO knowledge base.