{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","uuid":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","normalized_title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","isbns":["9787302517986"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":490,"navigation_url":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title_url":"https://workshop.closeclaw.top/ai/title/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E4%B8%8E%E5%A4%A7%E6%95%B0%E6%8D%AE%E6%8A%80%E6%9C%AF%E5%AF%BC%E8%AE%BA","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","page_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page","search_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/search"},"page":{"printed_page":385,"pdf_page":401,"physical_index":401,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"6b54f3df16039fc5468d5d85a868c934bd98c26a3442ce1c634dafcab5a65b61"},"chapter":"第11章","content":"知识图谱是知识工程的一个分支，以知识工程中的语义网络作为理论基础，并且结合了机器学习、自然语言处理、知识表示和推理的最新成果，在大数据的推动下受到了业界和学术界的广泛关注。知识图谱对于解决大数据中的文本分析和图像理解问题发挥着重要作用。目前，知识图谱研究已经取得了很多成果，形成了一些开放的知识图谱。但是，知识图谱的发展还存在以下障碍。首先，虽然大数据时代已经产生了海量的数据，但是数据发布缺乏规范，而且数据质量不高，从这些数据中挖掘高质量的知识需要处理数据噪音问题；其次，垂直领域的知识图谱构建缺乏自然语言处理方面的资源，特别是词典的匮乏使得垂直领域知识图谱构建代价很大；最后，知识图谱构建缺乏开源的工具，目前很多研究工作都不具备实用性，而且很少有工具发布。通用的知识图谱构建平台还很难实现。\n\n第11章 知识图谱\n\n385","previous_page":384,"next_page":386}