THE KNOWLEDGE GRAPH IS AN INFRASTRUCTURE ORIGINALLY CONSTRUCTED BY GOOGLE IN 2012 TO ENHANCE THE GOOGLE SEARCH ENGINE BY SEMANTICALLY LINKING INFORMATION GATHERED FROM A WIDE VARIETY OF DATA SOURCES. THE CONCEPT OF THE KNOWLEDGE GRAPH HAS SINCE EVOLVED AS A STRATEGY BY WHICH TO UNCOVER INFORMATION AND KNOWLEDGE BURIED WITHIN THE VAST AMOUNTS OF TEXT DATA ON THE INTERNET. THERE EMERGED NOVEL RELATIONSHIPS AND INFORMATION THAT CAN BE SURFACED USING INFORMATION EXTRACTION AND INFERENCE METHODS MACHINE LEARNING TECHNIQUES SUCH AS WORD2VEC (MIKOLOV 2013) GRAPH DATABASES AND SO ON. THE KNOWLEDGE GRAPH APPROACH CAN BE UTILIZED TO SEMANTICALLY LINK INFORMATION GATHERED FROM A WIDE VARIETY OF SOURCES WITHIN THE NASA EARTH SCIENCE ENTERPRISE FOR EARTH SCIENCE CONCEPTS. APPLICATIONS OF KNOWLEDGE GRAPH METHODS WILL ALLOW FOR CONTEXTUALLY RICHER KNOWLEDGE EXTRACTION ENHANCED KEYWORD AND METADATA PREDICTIONS DEEP EDGE TRAVERSALS AND RELATIONSHIP PREDICTIONS. OBJECTIVES INSPIRED BY GOOGLE S KNOWLEDGE GRAPH THIS PROJECT AIMS TO DESIGN AND DEVELOP A PROTOTYPE NASA EARTH SCIENCE KNOWLEDGE GRAPH TO CONNECT ALL THE DISTRIBUTED DISPARATE INFORMATION OBJECTS IN NASA S EARTH SCIENCE ENTERPRISE. OUR PRIMARY GOAL IS TO ADVANCE THE STATE-OF-THE-ART NASA KNOWLEDGE SEARCH AND DISCOVERY CAPABILITY BY GOING BEYOND THE TRADITIONAL CATALOG SEARCH FOR DATA AND SEMANTICALLY LINKING THE DIFFERENT DISTRIBUTED INFORMATION OBJECTS. THESE INFORMATION OBJECTS RANGE FROM DATA JOURNAL ARTICLES SERVICES TOOLS AND PEOPLE. WE HAVE ALREADY BEGUN DEVELOPING THE PROTOTYPE THAT EXTRACTS AND LINKS INFORMATION FROM JOURNAL PUBLICATIONS AND NASA STI CONTENT ABOUT HURRICANE SCIENCE.