Titlebook: Entity Resolution in the Web of Data; Vassilis Christophides,Vasilis Efthymiou,Kostas St Book 2015 Springer Nature Switzerland AG 2015

Nibble

不可磨灭

fabricate

https://doi.org/10.1007/978-981-13-6512-6ion 4.4, iterative ER can be also interleaved with the process of blocking, where matches are sought only within a block and if identified, they are propagated to other blocks. Finally, in Section 4.5, we overview works on incremental ER, in which the obtained ER results at each phase are enriched w

tympanometry

laceration

EXUDE

Entity Resolution in the Web of Data978-3-031-79468-1Series ISSN 2691-2023 Series E-ISSN 2691-2031

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朝圣者

Shalini Jadeja,Marcus Fruttigering the quadratic number of comparisons required to resolve a collection of entity descriptions. The main objective of algorithms for entity blocking, formally defined in Section 3.1, is to achieve a reasonable compromise between the number of comparisons suggested and the number of missed entity ma

sundowning

https://doi.org/10.1007/978-981-13-6512-6termediate results of blocking and matching, discovering new candidate description pairs for resolution, even if this process entails additional processing cost. The main objective of the algorithms for iterative entity resolution, which is abstractly described in Section 4.1, is to identify matches