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[1N4-IS-1a-02] MTabES: Entity Search with Keyword Search, Fuzzy Search, and Entity Popularities
Keywords:Knowledge graph, Entity Search, Lookup
(1) Objectives: We introduce an entity search tool called MTabES focused on dealing with noisy queries. In particular, we introduce a reranking function as a weighted fusion of fuzzy search with edit distance, keyword search with BM25 algorithm, and entities' popularities with PageRank scores. MTabES key advantage is the ability to boost the hit rate performance with the fuzzy search.
(2) Conclusions: Entity search experimental results on SemTab 2020 and Tough Table datasets show that our toolkit could achieve a higher hit rate than knowledge graphs standard lookups i.g. Wikidata, and Wikipedia. Moreover, MTabES also work efficiently with about five queries/second in MTabES efficiency mode. MTabES toolkit is available at https://github.com/phucty/mtab_tool.
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