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SAP-KG: Synonym Predicate Analyzer Across Multiple Knowledge Graphs

, and . The Semantic Web: ESWC 2023 Satellite Events, page 48--53. Cham, Springer Nature Switzerland, (2023)
DOI: https://doi.org/10.1007/978-3-031-43458-7_9

Abstract

This demo paper presents SAP-KG, a knowledge graph agnostic tool, to illustrate the benefits of identifying the synonym predicates that provide complementary information; they are used for query rewriting to enhance query answer completeness. SAP-KG proposed a metric to compute the percentage of overlap between pairs of synonym predicate candidates and capture the most similar ones which can complement each other. We present a query processing technique that put in perspective the role of synonym predicates in query answer completeness. The demo code is available online in (https://github.com/SDM-TIB/SAP-KG-ESWC2023Demo) and can be run at (https://mybinder.org/v2/gh/SDM-TIB/SAP-KG-ESWC2023Demo/main?labpath=SAP-KG.ipynb).

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