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Structured functional knowledge completion method for implicit conflict detection

A conflict detection and structuring technology, applied in unstructured text data retrieval, text database clustering/classification, semantic tool creation, etc. Effect

Inactive Publication Date: 2019-07-12
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a completion method based on an iterative classification algorithm for the problem that a large number of structured functional knowledge extracted from the knowledge map lacks attribute words

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Embodiment Construction

[0013] The structured functional knowledge completion method for implicit conflict detection of the present invention comprises the following steps:

[0014] 1, according to a group of " implicit attribute word " (verb, also comprises part adjective) given, be recorded as I={I 1 , I 2 ,..., I r} to get the definition in the online dictionary.

[0015] 2. For each "hidden attribute word" I i ∈I, the part-of-speech (POS) tags of the paraphrased sentences in the online dictionary are obtained through the lexical analyzer, and all nouns are used as I i Candidate attribute words C i .

[0016] 3. All the words c in the candidate attribute words ij ∈C i Divided into two categories, one is the "attribute" of "implicit attribute words", and the other is "non-attribute words". This step will use the relationship between words in WordNet to obtain accurate classification results through the "iterative classification algorithm". , and finally complete the missing attributes with ...

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Abstract

The invention discloses a structured functional knowledge completion method for implicit conflict detection. The method comprises the following steps: firstly, obtaining paraphrases in an online dictionary according to a given group of implicit attribute words; for each implicit attribute word Ii belongs to I, obtaining a part-of-speech label of a paraphrasing sentence in the online dictionary through a lexical parser, and taking all nouns as candidate attribute words Ci of Ii; dividing all words cij belonging to Ci in the candidate attribute words into two classes, one class being attributesof implicit attribute words, the other class being non-attribute words, obtaining an accurate classification result through an iterative classification algorithm by utilizing an inter-word relationship in WordNet, and finally complementing missing attributes in the structured functional knowledge. The extracted structured functional knowledge can be used for implicit conflict judgment in the smarthome system, the automation degree of the implicit conflict detection system is improved, and the detection accuracy is greatly improved.

Description

technical field [0001] The present invention relates to a complement method for extracting structured data from semi-structured knowledge map data, in particular to a structured functional knowledge complement method for implicit conflict detection. Background technique [0002] Today's smart home has developed into an integrated system that supports the interconnection and intercommunication between multiple devices. But at the same time, control conflict phenomena such as competition, interference and contradiction between devices are also very easy to appear, so it is necessary to carry out research on device control conflict detection technology. At present, in the field of smart home conflict detection, conflict detection is mostly aimed at explicit conflicts that occur when multiple rules act on the same actuator in different ways. For example, when one actuator rule requires lights to be turned on while another rule requires lights to be turned off, this can cause ap...

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Application Information

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IPC IPC(8): G06F16/36G06F16/35
Inventor 朱朝晖蔡铭王乾宇
Owner ZHEJIANG UNIV
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