Open AccessCLUSTERING IN ONTOLOGY-BASED ANALYSIS OF RESEARCH PROJECT DESCRIPTIONS
Author(s) -
Paweł Lula,
Janusz Tuchowski,
Urszula Cieraszewska,
Magdalena Talaga
Publication year - 2021
Publication title -
9th international conference "distributed computing and grid technologies in science and education"
Language(s) - English
Resource type - Conference proceedings
DOI - 10.54546/mlit.2021.66.33.001
Subject(s) - ontology , computer science , cluster analysis , information retrieval , data science , exploratory analysis , ontology based data integration , hierarchical clustering , process ontology , cluster (spacecraft) , upper ontology , data mining , artificial intelligence , semantic web , epistemology , philosophy , programming language
Ontology-based approach in exploratory analysis of textual data can significantly improve the qualityof the obtained results. On the other hand, the use of domain knowledge defined in the form ofontologies increases the time needed to prepare a model and makes required calculations morecomplex. The publication will discuss selected aspects of cluster analysis performed on documentsautomatically annotated using ontologies. It seems that methodological aspects of cluster analysisprocess, especially the way in which distances are determined, should depend on the structure of agiven ontology. Three cases involving the use of ontologies with linear, hierarchical and networkstructures will be discussed. The methodological aspects of ontology-based cluster analysis of textdocuments was used for analysis of projects’ descriptions related to the area of economics andregistered in the period 2019-2021. Only Horizon and Framework Program projects were included.