Expressive power of entity-linking frameworks

作者:

Highlights:

• We develop a unifying approach to declarative entity linking by introducing the notion of an entity linking framework and an accompanying notion of the certain links in such a framework.

• In an entity linking framework, logic-based constraints are used to express properties of the desired link relations in terms of source relations and, possibly, in terms of other link relations.

• The definition of the certain links in such a framework makes use of weighted repairs and consistent answers in inconsistent databases.

• We demonstrate the modeling capabilities of this approach by showing that numerous concrete entity linking scenarios can be cast as such entity linking frameworks for suitable choices of constraints and weights.

• By using the certain links as a measure of expressive power, we investigate the relative expressive power of several entity linking frameworks and obtain sharp comparisons.

摘要

•We develop a unifying approach to declarative entity linking by introducing the notion of an entity linking framework and an accompanying notion of the certain links in such a framework.•In an entity linking framework, logic-based constraints are used to express properties of the desired link relations in terms of source relations and, possibly, in terms of other link relations.•The definition of the certain links in such a framework makes use of weighted repairs and consistent answers in inconsistent databases.•We demonstrate the modeling capabilities of this approach by showing that numerous concrete entity linking scenarios can be cast as such entity linking frameworks for suitable choices of constraints and weights.•By using the certain links as a measure of expressive power, we investigate the relative expressive power of several entity linking frameworks and obtain sharp comparisons.

论文关键词:Entity-linking framework,Expressive power,Certain links

论文评审过程:Received 12 October 2017, Revised 22 June 2018, Accepted 10 September 2018, Available online 26 September 2018, Version of Record 19 November 2018.

论文官网地址:https://doi.org/10.1016/j.jcss.2018.09.001