| contributor author | Siddharth, L. | |
| contributor author | Blessing, Lucienne T. M. | |
| contributor author | Wood, Kristin L. | |
| contributor author | Luo, Jianxi | |
| date accessioned | 2022-05-08T09:29:20Z | |
| date available | 2022-05-08T09:29:20Z | |
| date copyright | 10/18/2021 12:00:00 AM | |
| date issued | 2021 | |
| identifier issn | 1530-9827 | |
| identifier other | jcise_22_2_021008.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4285195 | |
| description abstract | We propose a large, scalable engineering knowledge graph, comprising sets of real-world engineering “facts” as < | |
| description abstract | entity, relationship, entity > | |
| description abstract | triples that are found in the patent database. We apply a set of rules based on the syntactic and lexical properties of claims in a patent document to extract facts. We aggregate these facts within each patent document and integrate the aggregated sets of facts across the patent database to obtain an engineering knowledge graph. Such a knowledge graph is expected to support inference, reasoning, and recalling in various engineering tasks. The knowledge graph has a greater size and coverage in comparison with the previously used knowledge graphs and semantic networks in the engineering literature. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Engineering Knowledge Graph From Patent Database | |
| type | Journal Paper | |
| journal volume | 22 | |
| journal issue | 2 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.4052293 | |
| journal fristpage | 21008-1 | |
| journal lastpage | 21008-11 | |
| page | 11 | |
| tree | Journal of Computing and Information Science in Engineering:;2021:;volume( 022 ):;issue: 002 | |
| contenttype | Fulltext | |
