Open Domain Knowledge Graph

Leveraging knowledge graph for open domain question answering jose ortiz costa department of computer science san francisco state university san francisco usa jortizco mail sfsu edu anagha kulkarni department of computer science san francisco state university san francisco usa ak sfsu edu abstract rich and comprehensive knowledge graphs kg.

Open domain knowledge graph. Open domain question answering with iterative retrieval on knowledge bases and text haitian sun tania bedrax weiss william w. Some knowledge graphs are used primarily within the organisation that created them. In jargon these are called domain independent or cross domain knowledge graphs.

They including their schemas evolve to reflect changes in the domain and new data is added to the graph as it becomes available. Domain specific knowledge graph construction kgc is an active research area that has recently witnessed impressive advances due to machine learning techniques like deep neural networks and word embeddings. Leveraging knowledge graph for open domain question answering abstract.

The most common example is the google knowledge graph which is used in web search or amazon s product graph. 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. There is also a neat visualization of a project called linked open data lod a graph of knowledge graph datasets.

The effectiveness of the proposed method is verified by constructing a food domain knowledge graph based on wikipedia. Other knowledge graphs are openly available. Open domain question answering with iterative retrieval on knowledge bases and text representation learning with ordered relation paths for knowledge graph completion semi supervised entity alignment via joint knowledge embedding model and cross graph model.

It maps places orgs people likes hobbies articles etc and how they related. This book will synthesize knowledge graph construction over web data in an engaging and accessible manner. In other words a knowledge graph is a programmatic way to model a knowledge.

Rich and comprehensive knowledge graphs kg of the web such as google kg nell and diffbot kg are becoming increasingly prevalent and powerful as the underlying ai technology is rapidly progressing. Thus the qa system based on kg is still faced with. Knowledge graphs are flexible in terms of the types of data and schemas they can support.