As
a Semantic Analyst, you will help move Google Search from being an
Information Engine to becoming a Knowledge Engine. This transition is
powered by Google's Knowledge Graph - a system of organizing things
around their real world meanings. You will work on making our Knowledge
Graph more useful to users by developing new schema and frameworks to
organize this data for everything from Renaissance painters to panda
bears.
Responsibilities
Take responsibility for design, document and implement of a large classification scheme (e.g. a taxonomy or a vertical).
Lead manual creation of mappings between different knowledge representation models.
Evaluate the mapping results according to the predefined schema.
Minimum Qualifications
BA/BS degree (In lieu of degree, 1 year of relevant experience).
Preferred Qualifications
Librarian science or linguist degree or CS degree or equivalent.
1 year work experience in the area of librarian science and taxonomy.
Some familiarity or proficiency with organizational system(s) (e.g.
database schema/organizing/normalization, biological taxonomy, etc.),
scripting or query language(s) (Python, JavaScript, R, SQL, etc.), or
able to quickly gain proficiency.
Awareness of one or more knowledge or data representation models
(entity relationship model, relational calculus, network model,
hierarchical database model, RDA, FRBR, Dublin Core, etc.)
Project management experience with proven ability to manage multiple
projects and apply high quality control to the process flow, define
projects and execute within timeline.
Excellent written and verbal communication skills in both English
and Chinese. Excellent attention to detail; quick learner with creative
problem-solving and analytical skills.
Area
There
is always more information out there, and the Knowledge team has a
never-ending quest to find it and make it accessible. We're constantly
refining our signature search engine to provide better results, and
developing offerings like Google Instant, Google Voice Search and Google
Image Search to make it faster and more engaging. We're providing users
around the world with great search results every day, but at Google,
great just isn't good enough. We're just getting started.