N

Building a Knowledge Graph - the new search engine technology - Jimmy Lai

Building a Knowledge Graph - the new search engine technology

Jimmy Lai /English

Knowledge graph is the new search engine technology. All the leading search engine exploit knowledge graph to provide more accurate result to user, e.g. Bing, Google, Yahoo. In this talk, the speaker will demonstrate how to build a searchable knowledge graph from scratch. Lots of python tools will be applied during the process. The process includes data wrangling, graph entity indexing, full text search and web visualization. The data sources are from dbpedia.org. Enormous amount of entities are collected and stored to graph database for relationship querying and full text search engine for searching. In the web visualization, a searchable interface and visualized result demonstrate the knowledgable information to customer.

About Speaker


Profile picture
Jimmy Lai is a Python fan, and his interested topics are natural language processing and machine learning. He specializes in combining machine learning algorithm and cloud computing technology to do big data analysis, building application services.

Tagline

data mining, natural language processing, cloud computing

Personal Link

http://tw.linkedin.com/in/jimmylai1/

Job title

Software Engineer

HDE, Inc. mongodb Google

Tagtoo Vpon Github Github Github

Quanta Research Institute

AcoMo Technology

CLBC KKTIX QSearch Python Software Foundation Open Source Software Foundry LIVEhouse.in Young Optics Wolf Tea

QSearch Business Next Vpon Inside 硬塞的 DIGITIMES INNOMAMBO 創新曼波

Built with Django and Mezzanine by PyCon Taiwan

Hosting provided by StreetVoice.

Bugs or wheels? Feedback and support here.

More on contact organizers@pycon.tw

×