基于依存句法规则的信息技术项目图谱构建

doi:10.12305/j.issn.1001-506X.2024.12.16

摘要/Abstract

摘要：

知识图谱提供了图结构化的知识存储方式，可以实现对非结构化知识的有效管理，但对于信息技术项目文本的管理来说，通用的知识抽取方法仍然难以获取符合要求的知识。对此，本文提出了基于依存句法规则的抽取框架, 通过结合依存分析和句法规则来解决这一问题。该框架首先通过构建依存句法结构来扩展和融合实体, 形成实体间的上下位关系, 基于实体的上下位关系建立实体间的关系, 并利用超边来解决实体间的多元关系建模问题。最后, 以案例实验验证了所提方法的可行性。

关键词: 依存分析, 信息技术, 项目管理, 知识图谱, 文本挖掘, 知识抽取

Abstract:

Knowledge graphs provide a graphical structured knowledge storage method, which can effectively manage unstructured knowledge. However, for the management of information technology project texts, general knowledge extraction methods still find it difficulty to obtain satisfactory knowledge. Therefore, an extraction framework based on dependency syntax rules that addresses the aforementioned problem by combining dependency analysis and syntax rules is proposed. The proposed framework firstly expands and integrates entities by constructing a dependency syntax structure and forms hyponymy relationships between entities. Then, it establishes relationships between entities based on their hyponymy relationships and solves the issue of multivariate relationships modeling between entities using hyperedges. Finally, the feasibility of the proposed method is verified through a case experiment.

Key words: dependency analysis, information technology, project management, knowledge graph, text mining, knowledge extraction

中图分类号:

林木, 束哲, 李童心, 王维平. 基于依存句法规则的信息技术项目图谱构建[J]. 系统工程与电子技术, 2024, 46(12): 4074-4082.

Mu LIN, Zhe SHU, Tongxin LI, Weiping WANG. Information technology projects graph construction based on dependency syntax rules[J]. Systems Engineering and Electronics, 2024, 46(12): 4074-4082.

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参数	参数调用方法	参数含义
i	token.i	当前词id
j	token.head.i	当前词的上级词id
k	token.head.head.i	当前词的上上级词id
ii	token.tag_	当前词词性
jj	token.head.tag_	上级词词性
kk	token.head.head.tag_	上上级词词性
ij	token.dep_	当前词到上级词的弧
jk	token.head.dep_	上级词到上上级词的弧

参数调用	参数含义
ROOT	指向中心词
nsubj	指向名词性主语
nmod	指向名词性修饰语
conj	连接词关系
compound	复合词关系
NN/NNP/NNPS/NNS	名词词性
VB/VBD/VBG/VBN	动词词性
IN	介词词性

id	实体	i	j	k	ii	jj	kk	ij	jk	符合的规则
0	This project	0	1	1	NN	VBZ	VBZ	nsubj	ROOT	1, 20
1	provides	1	1	1	VBZ	VBZ	VBZ	ROOT	ROOT	-1
2	the analyst	2	1	1	NN	VBZ	VBZ	dobj	ROOT	20
3	with	3	1	1	IN	VBZ	VBZ	prep	ROOT	-1
4	the ability	4	3	1	NN	IN	VBZ	pobj	prep	7, 20
5	to	5	7	4	TO	VB	NN	aux	acl	-1
6	rapidly	6	7	4	RB	VB	NN	advmod	acl	-1
7	find	7	4	3	VB	NN	IN	acl	pobj	-1
8	and	8	7	4	CC	VB	NN	cc	acl	-1
9	fuse	9	7	4	VB	VB	NN	conj	acl	-1
10	multiple intelligence sources	10	9	7	NNS	VB	VB	dobj	conj	6, 20
11	of	11	10	9	IN	NNS	VB	prep	dobj	-1
12	battlespace information	12	11	10	NN	IN	NNS	pobj	prep	2, 20
13	for	13	12	11	IN	NN	IN	prep	pobj	-1
14	improved situational awareness	14	13	12	NN	IN	NN	pobj	prep	3, 20
15	,	15	9	7	,	VB	VB	punct	conj	-1
16	and	16	7	4	CC	VB	NN	cc	acl	-1
17	to	17	19	7	TO	VB	VB	aux	conj	-1
18	better	18	19	7	RBR	VB	VB	advmod	conj	-1
19	detect	19	7	4	VB	VB	NN	conj	acl	-1
20	and	20	19	7	CC	VB	VB	cc	conj	-1
21	find	21	19	7	VB	VB	VB	conj	conj	-1
22	anomalies	22	21	19	NNS	VB	VB	dobj	conj	6, 20
23	.	23	1	1	.	VBZ	VBZ	punct	ROOT	-1

id	候选实体	起始位置	终止位置	是否有邻接或交叉
1	This projects	0	1	否
2	the analyst	2	3	否
3	the ability	4	5	否
4	rapidly find and fuse multiple intelligence sources	6	11	是
5	multiple intelligence sources of battlespace information	10	13	是
6	improved situational awareness	14	15	否
7	better detect and find anomalies	18	23	否

id	候选实体	起始位置	终止位置	root	hops	level
1	This projects	0	1	This projects	-1	0
2	the analyst	2	3	the analyst	1	1
3	the ability	4	5	the ability	2	2
4	rapidly find and fuse multiple intelligence sources of battlespace information	6	13	find	3	3
5	improved situational awareness	14	15	improved situational awareness	8	4
6	better detect and find anomalies	18	23	detect	3	3