scholarly journals Ontology Concept

2020 ◽  
Author(s):  
Keyword(s):  
Ontology Concept

scholarly journals SQL Query Construction from Ontology Concept Descriptions

2018 ◽  
Vol 21 ◽  
pp. 81-85
Author(s):  
Henrihs Gorskis
Keyword(s):  
Domain Ontology ◽  
Class Hierarchy ◽  
Ontology Concept ◽  
Sql Query ◽  
Mapping Point ◽  
Domain Concept ◽  
Selection Of

Based on the usage of previously proposed database concepts as mapping point to a database in a domain ontology, the present paper describes the process of constructing SQL queries from them. The proposed database concepts allow for the mapping of domain concept to the source of data from a database. The paper describes the process of traversing the class hierarchy in an ontology for gathering these database concepts and constructing the SQL query. The purpose of the constructed SQL query is to obtain data from a database to populate the ontology with instances related to a selected ontology concept. The described process begins with the selection of one ontology concept, obtaining all directly related concepts, filtering and collecting database concepts, and finally constructing the SQL query.

What is Populism?

2019 ◽  
pp. 13-39
Author(s):  
Takis S. Pappas
Keyword(s):  
Comparative Study ◽  
Theory Building ◽  
Ontology Concept ◽  
Concise Overview ◽  
Methodological Errors ◽  
The Comparative Study

Chapter 1 begins with a concise overview of the ways earlier scholars have examined populism during consecutive waves of research on the topic, and goes on to expose common conceptual and methodological errors—such as obscuring the genus, overemphasizing essentialism while overlooking ontology, concept stretching, the incertitude about negative poles, and the difficulties with concept operationalization—before setting out to elaborate a truly minimal definition that can sufficiently account for the comparative study of modern populism. The chapter ends with a presentation of the book’s overall framework of analysis, which condenses the main methodological tools—such as indicators, variables, and concept properties—to be used later on during theory-building.

Research on Search Sorting Algorithm Based on Multi-Dimensional Matching

2014 ◽  
Vol 926-930 ◽  
pp. 3195-3199
Author(s):  
Xiao Yan Yuan
Keyword(s):  
Semantic Similarity ◽  
Temporal Information ◽  
Sorting Algorithm ◽  
Search Term ◽  
Ontology Concept ◽  
Average Recall ◽  
Search Terms ◽  
Sorting Algorithms

Since the current search sorting algorithms cannot find the desirable webpages quickly and accurately, a novel search sorting algorithm based on multi-dimensional matching is proposed in this study. This algorithm computes the semantic similarity of search terms based on ontology concept, and then the relevance of temporal information of those search terms with time of webpage. As a result, the relevance of the search term with the content of the webpage is calculated, hence realizing most appropriate webpage sorting. Finally, several methods are compared in terms of their average precisions and average recall ratios.

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