Overview
SciKG is a rich knowledge graph designed for scientific purpose (currently including computer science (CS)), consisting of concepts, experts, and papers. The concepts and their relationships are extracted from ACM computing classification system, supplemented with the definition of each concept from, e.g., Wikipedia. We further use AMiner to associate top ranked experts and most relevant papers to each concept. Each expert has position, affiliation, research interests and also the link connecting to AMiner (for further rich information if necessary) and each paper contains meta information such as title, authors, abstract, publication venue, and year.
SciKG can be used to better understand the dynamics and evolutionary of the computer science field, and help search and recommendation of experts and publications in CS.
Downloads
The overall data set is described in the table below:
| Data set | #File | Total size | Date | Type | Downloads |
| SciKG | 1 | 105.4M | 2017-08-24 | native JSON | SciKG_min_1.0.tar.gz |
| 1 | 168.3M | 2018-05-09 | JSON-LD | SciKG_min_jsonld_1.0.tar.gz |
Statistical results
The statistical results of the data set are as follows:
| Type of Object | Count |
| Concept | 908 |
| Expert | 206,240 |
| Publication | 512,698 |
| Keyword | 9,668 |
Data description
| Field Name | Field Type | Description | Example |
| id | int | keyword ID | 2 |
| name | string | keyword | Document types |
| name_zh | string | Chinese keyword | 文献类型 |
| level | int | path length to the root node | 1 |
| definition | string | definition | Document types is ... |
| definition_zh | string | Chinese definition | 文献类型是... |
| child_nodes | list of int | child nodes' ID | [3, 34, 62] |
| parent | int | parent node' ID | 1 |
| experts.id | string | AMiner expert ID | 53f4394cdabfaedce554a943 |
| experts.name | string | name of expert | Ehud Reiter |
| experts.name_zh | string | Chinese name of expert | |
| experts.position | string | position of expert | Department's Research Training Coordinator |
| experts.aff | string | affiliation of expert | Department of Computing Science University of Aberdeen |
| experts.h_index | int | h-index of expert | 35 |
| experts.interests | list of strings | research interests of expert | ["Natural Language Generation"] |
| publication.id | string | AMiner paper ID | 53e9b8b4b7602d97044905e7 |
| publication.title | string | title of paper | Object and reference immutability using Java generics |
| publication.author.id | string | author ID of paper | 53f44cc6dabfaee43ec972a0 |
| publication.author.name | string | author name of paper | Yoav Zibin |
For example:
{
"id":2,
"name":"Document types",
"name_zh":"文献类型",
"level":1,
"definition":"",
"definition_zh":"",
"child_nodes":[
3,
34
],
"parent":1,
"experts":[
{
"id":"54107080dabfae92b4283fd7",
"name":"Ehud Reiter",
"name_zh":"埃胡德赖特",
"position":"Department's Research Training Coordinator",
"affiliation":"Department of Computing Science University of Aberdeen",
"h_index":35,
"interests":[
"Natural Language",
"Knowledge Acquisition"
]
}
],
"publications":[
{
"id":"53e9b8b4b7602d97044905e7",
"title":"Object and reference immutability using Java generics",
"authors":[
{
"id":"53f44cc6dabfaee43ec972a0",
"name":"Yoav Zibin"
},
{
"id":"53f4740adabfaedf4367b0c0",
"name":"Alex Potanin"
}
]
}
]
}
References
We kindly request that any published research that makes use of this data cites the following papers.
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. ArnetMiner: Extraction and Mining of Academic Social Networks. In Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2008). pp.990-998. [PDF] [Slides] [System] [API]
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