解读知识图谱的2020 : 技术成熟度飞速跃升，与产业互联结合更加紧密

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"对比2020和2019年Gartner发布的人工智能领域的技术“成熟度曲线”(Hype Cycle)，"},{"type":"text","marks":[{"type":"strong"}],"text":"在短短1年时间，知识图谱的成熟度由创新触发阶段一跃达到预期膨胀高峰阶段且非常接近最高点。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"知识图谱逐渐成为人工智能应用的强大助力。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"曲线表示，知识图谱的发展还需要 5 - 10 年时间才能到达成熟的阶段，知识图谱依然有很大的发展空间。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/17\/c5\/17ee81f8bd744f4e18b54930580c22c5.png","alt":null,"title":"","style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/4d\/3c\/4dec7yy3809c8aaf8a804881e65b463c.png","alt":null,"title":"","style":[{"key":"width","value":"75%"},{"key":"bordertype","value":"none"}],"href":"","fromPaste":false,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"本文将从"},{"type":"text","marks":[{"type":"strong"}],"text":"知识抽取、知识融合、知识推理"},{"type":"text","text":"的角度探索过去一年知识图谱在自动构建领域的技术突破，并结合图机器学习、图数据库探讨相关领域的技术发展。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"而"},{"type":"text","marks":[{"type":"strong"}],"text":"在应用上，知识图谱在2020年与产业互联的结合更加紧密"},{"type":"text","text":"，除了在数据治理、搜索与推荐、问答等通用领域有所突破之外，在智能生产、智慧城市、智能管理、智能运维等众多领域，以及工业、金融、司法、公安、医疗、教育等众多行业也都有进一步的场景化落地的突破。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"一、 重要的技术发展"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":3},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"知识图谱构建"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"strong"}],"text":"2020年，利用自然语言处理、机器学习等技术从多源异构的数据资源中自动构建知识图谱的技术取得长足进展。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}}]}