2026-10-12T00:36:16Z https://www.scidb.cn/oai

10.11922/sciencedb.j00104.00052 2020-10-16T22:49:43Z

2020-10-16 Knowledge Graph Construction and Applications for Web Search and Beyond doi:10.11922/sciencedb.j00104.00052 en One table and seven figures of this paper. Table 1 presents Wang Zai’s personal information for more consistent question answering. Figure 1 is an overview of Sogou knowledge graph construction framework. The framework could be divided into three parts: Data Preparation contains operations including collecting data from various sources, extracting data from both structured source and free text and normalizing data; Knowledge graph construction contains all models to build a knowledge graph based on the extracted and normalized data; Application is composed of applications or services of a knowledge graph. A box with solid line represents an operation or model to process data while a box with dashed line represents the intermediate data. Figure 2 shows overview of Sogou knowledge graph storage architecture. Figure 3 shows after query entity linking, entity-related information and pictures are shown in search results. Figure 4 shows that search engine also gives related entity recommendations, due to entity relations in our KG. Figure 5 shows long text entity service used for Anchor Text generation. Figure 6 presents KBQA in Sogou Search Engine, which answers the query directly in the first search result. In Figure 7, a user is having a dialogue with our conversational assistant, Wang Zai. Knowledge graph; Search engine; Question answering Peilu Wang Hao Jiang Jingfang Xu Qi Zhang PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset http://www.doi.org/10.1162/dint_a_00019 Science Data Bank