Semantic labeling method based on resource description framework (RDF) knowledge base
A technology of semantic annotation and knowledge base, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as insufficient processing efficiency, and achieve the effect of improving efficiency and accuracy
Active Publication Date: 2012-11-14
杜小勇
View PDF3 Cites 11 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Therefore, the methods for labeling unstructured data in the prior art have insufficient processing efficiency.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0015] In each embodiment of the present invention, the object to be semantically tagged is unstructured data of text type, and the data to be semantically tagged is extracted from the unstructured data by using information extraction technology. The to-be-labeled data described in the following embodiments Data, that is, the data extracted from unstructured data; the data to be labeled extracted from unstructured data can be words, phrases or sentences with a system preset length; and then use the method in each embodiment of the present invention Semantic annotation is performed on the extracted data to be annotated.
[0016] Various embodiments of the present invention implement semantic annotation of unstructured data based on a cloud platform. In specific applications, 2-3 or more ordinary computers that can build a cloud platform can be used to build a cloud platform, and a server with a higher configuration can be used to virtualize multiple computers to build a cloud p...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides a semantic labeling method based on a resource description framework (RDF) knowledge base. The method includes utilizing data to be labeled as key words to look through the RDF knowledge base to acquire attribute information of one or a plurality of matching objects in fuzzy match with the data to be labeled, utilizing acquired entity names respectively corresponding the attributed information of the matching objects as first labeling information, respectively distributing preset first weight to the entity names in the first labeling information, utilizing one or a plurality of entity names acquired in an entity neighborhood list in the knowledge base and has neighborhood relation with the entity names in the first labeling information as second labeling information, distributing preset second weight to the entity names in the second labeling information in the way that the second weight is smaller than the first weight, conducting statistics on the weight of the acquired entity names, utilizing entity names with highest weights as semantic labeling information of the data to be labeled and outputting the semantic labeling information. The semantic labeling method effectively improves semantic labeling accuracy and efficiency of the unstructured data.
Description
technical field [0001] The invention relates to computer technology, in particular to a semantic tagging method based on RDF knowledge base. Background technique [0002] Unstructured data refers to data without an explicit data structure, including text data, web page information, emails, graphic images, audio and video, etc. Since the data sources of these data are diverse, and there are many redundant, erroneous, and semantically unclear information in the data, it is necessary to semantically annotate the unstructured data before utilizing it. [0003] At present, using traditional natural language processing methods combined with data mining tools, through lexical and grammatical analysis of unstructured data, the information such as speech and semantics of unstructured data is marked. [0004] However, labeling unstructured data by analyzing lexical and grammatical methods requires pre-defining complex natural language models, or using supervised or semi-supervised me...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 杜小勇陈跃国陈晋川杜方
Owner 杜小勇