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Data · dataset · 2020

Knowledge Graph Construction and Applications for Web Search and Beyond

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One table and seven figures of this paper.

Description

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.

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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.

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Tabular 65% · Text 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.11922/sciencedb.j00104.000529 d agoJSON v1
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