Domain Knowledge Graph

In other words a knowledge graph is a programmatic way to model a knowledge domain with the help of subject matter experts data interlinking and machine learning algorithms.

Domain knowledge graph. In data science and ai knowledge graphs are commonly used to. However there are still gaps on the domain knowledge graph construction. There have been quite a few well established general knowledge graphs.

Knowledge representation is the key step to construct domain knowledge graph. It plays an important role in providing knowledge service for special purpose applications. However the kg which is always constituted of entities and relations is structurally inconsistent with the natural language query.

It provides a structure and common interface for all of your data and enables the creation of smart multilateral relations throughout your databases. Knowledge graphs kgs organise data from multiple sources capture information about entities of interest in a given domain or task like people places or events and forge connections between them. With the advent of the era of big data the scale of knowledge graph kg in various domains is growing rapidly which holds huge amount of knowledge surely benefiting the question answering qa research.

A knowledge graph is a model of a knowledge domain created by subject matter experts with the help of intelligent machine learning algorithms. Knowledge graph taxonomy learning relation extraction 1 introduction a domain knowledge graph dkg is a special type of knowledge graphs that focuses on modeling relations between entities in a specific domain. Facilitate access to and integration of data sources.