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HAO Unity: A Graph-based System for Unifying Heterogeneous Data

Published: 30 October 2021 Publication History

Abstract

Many real-world applications have to face the problem of diversity in data formats and semantics. Currently, how to deal with heterogeneous data effectively is still a big challenge. With the rise of knowledge graphs, more and more applications are built upon graph-like data models, which benefit from flexible schemas and convenient support for relationship queries. We propose a graph-based unifying system for heterogeneous data unification, which helps to (1) transform data in many other formats into graphs, or conversely, from graph to other formats, (2) integrate graph data based on HAO intelligence, which achieves schema integration and entity consolidation, and (3) explore data at different levels via querying the integrated graphs. In this paper, we introduce the overall system architecture, explain in detail the implementation, and display the usage in two practical scenarios.

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Cited By

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  • (2024)A Searchable Symmetric Encryption-Based Privacy Protection Scheme for Cloud-Assisted Mobile CrowdsourcingIEEE Internet of Things Journal10.1109/JIOT.2023.332066611:2(1910-1924)Online publication date: 15-Jan-2024
  • (2024)Pyramid: A Heterogeneous Data Integration Algorithm Based on Hierarchical GraphICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP48485.2024.10447879(6220-6224)Online publication date: 14-Apr-2024

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  1. HAO Unity: A Graph-based System for Unifying Heterogeneous Data

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    cover image ACM Conferences
    CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management
    October 2021
    4966 pages
    ISBN:9781450384469
    DOI:10.1145/3459637
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 30 October 2021

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    Author Tags

    1. data exploration
    2. data integration
    3. data unification
    4. graph database

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    View all
    • (2024)A Searchable Symmetric Encryption-Based Privacy Protection Scheme for Cloud-Assisted Mobile CrowdsourcingIEEE Internet of Things Journal10.1109/JIOT.2023.332066611:2(1910-1924)Online publication date: 15-Jan-2024
    • (2024)Pyramid: A Heterogeneous Data Integration Algorithm Based on Hierarchical GraphICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP48485.2024.10447879(6220-6224)Online publication date: 14-Apr-2024

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