Application of Syntagmatic Patterns to Evaluate Answers to Open-Ended Questions

Zarubin, Anton; Koval, Albina; Filippov, A. A.; Moshkin, Vadim

doi:10.1007/978-3-319-65551-2_11

Cited by 8 publications

(3 citation statements)

References 8 publications

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“…At present, wiki-technologies are used to organize corporate KB. It is necessary to solve the task of knowledge extracting from wiki-resources [14,15,16,23,27]. Table 1 contains the result of mapping the KB entities to the wiki-resource entities [22].…”

Section: Extracting Knowledge From Wiki-resourcesmentioning

confidence: 99%

Development of a knowledge base based on context analysis of external information resources

Yarushkina

Filippov

Moshkin

2018

Collection of Selected Papers of the IV International Conference on Information Technology and Nanotechnology

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The article describes the process of developing a knowledge base (KB). The content of KB is formed as a result of the analysis of the contexts of external information resources. In this case, the context is a certain "point of view" on the problem area (PrA) and its features. A graph database (DB) Neo4j is used as the basis for storing the contents of the KB in the form of an ontology. An attempt is made to implement the mechanism of inference by the contents of a graph database. The mechanism is used to dynamically generate the screen forms of the user interface to simplify the work with the KB. This article also describes the method of extension of KB based on the content of the wiki-resources and relational databases.

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Section: Extracting Knowledge From Wiki-resourcesmentioning

confidence: 99%

Development of a knowledge base based on context analysis of external information resources

Yarushkina

Filippov

Moshkin

2018

Collection of Selected Papers of the IV International Conference on Information Technology and Nanotechnology

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“…Intelligent systems must have knowledge about the PrA to successfully solve the intellectual tasks. The methods of knowledge engineering allow to describe the features of the PrA in the form of a domain ontology [1,2,3,4,5,6]. At present, ontologies are formed by experts in the problem area (PrA).…”

Section: Introductionmentioning

confidence: 99%

Extraction of Semantic Trees from a Text while Constructing Domain Ontology

Yarushkina¹,

Filippov²,

Moshkin³

2018

RCS

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This article describes the method of building a domain ontology based on the linguistic analysis of content of text resources. Also an example of the proposed approach and the architecture of our pipeline presents. Representation of the problem area (PrA) in the form of a domain ontology is often used in the process of development of intelligent software systems and used as a knowledge base. The process of building an ontology is complex and requires an expert in the PrA. A large number of researchers are working to solve this problem. The basis of our approach is the use of a pipeline of different linguistic methods of text analysis. The set of rules developed by us is used to build an ontology based on the content analysis of a text resource.

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Section: Introductionmentioning

confidence: 99%

The Approach to Extracting Semantic Trees from Texts to Build an Ontology from Wiki-Resources

Yarushkina

Filippov

Moshkin

et al. 2018

Advances in Intelligent Systems and Computing

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The article describes the developed method of extracting semantic trees from text resources. This method is based on the use of a sequence of linguistic algorithms in constructing a syntactic sentence tree. The basis of the developed method is the algorithm for translating syntax trees of text fragments into the structures of semantic trees using a set of rules. A formal model of the rules is presented. The resulting semantic trees can be combined into a domain ontology taking into account the built-in relations between objects in the wiki resource. An example of our approach is also presented.

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Application of Syntagmatic Patterns to Evaluate Answers to Open-Ended Questions

Cited by 8 publications

References 8 publications

Development of a knowledge base based on context analysis of external information resources

Development of a knowledge base based on context analysis of external information resources

Extraction of Semantic Trees from a Text while Constructing Domain Ontology

The Approach to Extracting Semantic Trees from Texts to Build an Ontology from Wiki-Resources

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