Optimising the ShExML engine through code profiling: From turtle's pace to state-of-the-art performance.
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| Názov: | Optimising the ShExML engine through code profiling: From turtle's pace to state-of-the-art performance. |
|---|---|
| Autori: | García-González, Herminio |
| Zdroj: | Semantic Web (1570-0844); 2025, Vol. 16 Issue 2, p1-29, 29p |
| Predmety: | KNOWLEDGE graphs, DATA mapping, ENGINES, TURTLES |
| Abstrakt: | The ShExML language was born as a more user-friendly approach for knowledge graph construction. However, a recent study has highlighted that its companion engine suffers from serious performance issues. Thus, in this paper I undertake the optimisation of the engine by means of a code profiling analysis. The improvements are then measured as part of a performance evaluation whose results are statistically analysed. Upon this analysis, the effectiveness of each proposed enhancement is discussed. Moreover, the optimised version of ShExML is compared against similar engines, delivering a comparable performance to its alternatives. As a direct result of this work, the ShExML engine offers a much more optimised version which can cope better with users' demands. [ABSTRACT FROM AUTHOR] |
| Copyright of Semantic Web (1570-0844) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Databáza: | Complementary Index |
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