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Ericsogate: Advancing Analytics and Management of Data from Diverse Sources within Ericsson Using Knowledge Graphs

Published: 21 October 2024 Publication History

Abstract

As data in the telecommunications industry becomes more voluminous and complex, extracting insightful information requires efficient and scalable systems that can effectively link and manage this data. This paper introduces a novel, multi-layered approach to managing interlinked data for Cloud Radio Access Network (CloudRAN) at Ericsson, utilizing Knowledge Graphs (KGs). Our system is structured into six distinct layers, each focusing on a specific aspect of managing interlinked data. This division enhances clarity and manageability, and promotes effective teamwork and collaborative development. A cornerstone of our architecture is its modularity, which enables the flexible exchange of components, such as the triple store, with minimal impact on the system's operations, ensuring longevity and adaptability to evolving technological trends. Moreover, we introduce novel applications in knowledge graph summarization and semantic search, specifically engineered for industrial decision-making. These innovations provide concise insights and actionable intelligence, fostering rapid and informed decision-making processes crucial for industry professionals. Finally, we discuss the lessons learned from deploying and utilizing this six-layer framework.

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  1. Ericsogate: Advancing Analytics and Management of Data from Diverse Sources within Ericsson Using Knowledge Graphs

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    cover image ACM Conferences
    CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
    October 2024
    5705 pages
    ISBN:9798400704369
    DOI:10.1145/3627673
    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 the author(s) 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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    Published: 21 October 2024

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    Author Tags

    1. interlinked data
    2. knowledge graphs
    3. telecom industry

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