Table understanding approaches for extracting knowledge from heterogeneous tables

Semantics Driven Table Understanding in Born-Digital Documents

Advances in Intelligent Systems and Computing - Image Processing and Communications Challenges 5 ◽

10.1007/978-3-319-01622-1_18 ◽

2014 ◽

pp. 153-160

Author(s):

Jacek Siciarek

Keyword(s):

Digital Documents ◽

Table Understanding

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Automated Table Understanding Using Stub Patterns

Database Systems for Advanced Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-32025-0_33 ◽

2016 ◽

pp. 533-548 ◽

Cited By ~ 6

Author(s):

Roya Rastan ◽

Hye-young Paik ◽

John Shepherd ◽

Armin Haller

Keyword(s):

Table Understanding

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Microsoft Concept Graph: Mining Semantic Concepts for Short Text Understanding

Data Intelligence ◽

10.1162/dint_a_00013 ◽

2019 ◽

Vol 1 (3) ◽

pp. 238-270 ◽

Cited By ~ 3

Author(s):

Lei Ji ◽

Yujing Wang ◽

Botian Shi ◽

Dawei Zhang ◽

Zhongyuan Wang ◽

...

Keyword(s):

Graph Mining ◽

Knowledge Graph ◽

Web Pages ◽

Search Query ◽

Short Text ◽

Text Understanding ◽

Concept Space ◽

Semantic Concepts ◽

Table Understanding ◽

The Web

Knowlege is important for text-related applications. In this paper, we introduce Microsoft Concept Graph, a knowledge graph engine that provides concept tagging APIs to facilitate the understanding of human languages. Microsoft Concept Graph is built upon Probase, a universal probabilistic taxonomy consisting of instances and concepts mined from the Web. We start by introducing the construction of the knowledge graph through iterative semantic extraction and taxonomy construction procedures, which extract 2.7 million concepts from 1.68 billion Web pages. We then use conceptualization models to represent text in the concept space to empower text-related applications, such as topic search, query recommendation, Web table understanding and Ads relevance. Since the release in 2016, Microsoft Concept Graph has received more than 100,000 pageviews, 2 million API calls and 3,000 registered downloads from 50,000 visitors over 64 countries.

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