CLDLFeb 3, 2017

Named Entity Evolution Analysis on Wikipedia

arXiv:1702.01176v17 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the challenge of information retrieval in web archives for users needing to find entities with changed names, but it is incremental as it focuses on data analysis without implementing a solution.

The paper tackled the problem of entity name changes over time in web archives by analyzing Wikipedia for entity evolutions, presenting statistical data on excerpts covering name changes to aid future extraction of evolution knowledge.

Accessing Web archives raises a number of issues caused by their temporal characteristics. Additional knowledge is needed to find and understand older texts. Especially entities mentioned in texts are subject to change. Most severe in terms of information retrieval are name changes. In order to find entities that have changed their name over time, search engines need to be aware of this evolution. We tackle this problem by analyzing Wikipedia in terms of entity evolutions mentioned in articles. We present statistical data on excerpts covering name changes, which will be used to discover similar text passages and extract evolution knowledge in future work.

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