2021/03/10 by Tobias Zeimetz, Zeimetz, Tobias, Ralf Schenkel +1
Computer Science · Decision Sciences · #Data Quality and Management #Databases (cs.DB) #FOS: Computer and information sciences #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services
paper · pdf · doi:10.48550/arxiv.2103.06253
openalex publication_date 2021/03/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Data integration is an important task in order to create comprehensive RDF\nknowledge bases. Many data sources are used to extend a given dataset or to\ncorrect errors. Since several data providers make their data publicly available\nonly via Web APIs they also must be included in the integration process.\nHowever, APIs often come with limitations in terms of access frequencies and\nspeed due to latencies and other constraints. On the other hand, APIs always\nprovide access to the latest data. So far, integrating APIs has been mainly a\nmanual task due to the heterogeneity of API responses. To tackle this problem\nwe present in this paper the FiLiPo (Finding Linkage Points) system which\nautomatically finds connections (i.e., linkage points) between data provided by\nAPIs and local knowledge bases. FiLiPo is an open source sample-driven schema\nmatching system that models API services as parameterized queries. Furthermore,\nour approach is able to find valid input values for APIs automatically (e.g.\nIDs) and can determine valid alignments between KBs and APIs. Our results on\nten pairs of KBs and APIs show that FiLiPo performs well in terms of precision\nand recall and outperforms the current state-of-the-art system.\n