Knowledge discovery from massive data streams
TS Eliot once wrote some beautiful poetic lines including one “Where is the knowledge we
have lost in information?”. Can't say that TS Eliot could have anticipated today's scenario …
have lost in information?”. Can't say that TS Eliot could have anticipated today's scenario …
Knowledge discovery in ontologies
B Furletti, F Turini - Intelligent Data Analysis, 2012 - content.iospress.com
Ontologies allow us to represent knowledge and data in implicit and explicit ways. Implicit
knowledge can be derived by means of several deductive logic-based processes. This …
knowledge can be derived by means of several deductive logic-based processes. This …
The Interactive Behavior in the Relation between Simple and Complex Structure of Concept and Semantic Relations in an Agricultural Ontology (VocBench)
M Amirhosseini - International Journal of Information Science and …, 2021 - ijism.isc.ac
The purpose of this empirical quantitative study is the measurement and evaluation of the
relations between structural domains, including simple and complex structure of concepts …
relations between structural domains, including simple and complex structure of concepts …
[HTML][HTML] The Relation between the Combination Levels in the Structure of Concepts Entities and the Amount of Semantic Relations in Improving Information Retrieval …
M Amirhosseini - Iranian Journal of Information Processing and …, 2021 - jipm.irandoc.ac.ir
This research aims to identify the relations between the combination levels in concepts
structure with the amount of semantic relations through applying quantitative evaluation …
structure with the amount of semantic relations through applying quantitative evaluation …
[PDF][PDF] Using Association Rules as Semantics for Domain Ontologies
O Sy - Conferences of the department Informatics, 2019 - ue-varna.bg
Association rules and ontologies both are domain-based knowledge. However, the first is an
unexpected discovered knowledge from databases, while the second is a priori knowledge …
unexpected discovered knowledge from databases, while the second is a priori knowledge …
Enriching Domain Ontologies with Knowledge-based Semantics
O Sy - Serdica Journal of Computing, 2019 - serdica-comp.math.bas.bg
Both association rules and ontologies are domain-based knowledge. However, the first is
unexpected discovered knowledge from databases, while the second is a priori knowledge …
unexpected discovered knowledge from databases, while the second is a priori knowledge …
Intelligent Decision Support Systems in Public Transport
F Benvenuti - 2018 - iris.univpm.it
In the last years, the significance of improving efficiency of urban Public Transport Systems
(PTSs) is taking a key role in the development of modern society. In an ideal world, urban …
(PTSs) is taking a key role in the development of modern society. In an ideal world, urban …
What Else Can Be Extracted from Ontologies? Influence Rules
B Furletti, F Turini - Software and Data Technologies: 6th International …, 2013 - Springer
A method for extracting new implicit knowledge from ontologies by using an
inductive/deductive approach is presented. The new extracted knowledge takes the form of If …
inductive/deductive approach is presented. The new extracted knowledge takes the form of If …
[PDF][PDF] Mining Influence Rules out of Ontologies.
B Furletti, F Turini - ICSOFT (2), 2011 - scitepress.org
A method for extracting new implicit knowledge from ontologies by using an
inductive/deductive approach is presented. By analyzing the relationships that already exist …
inductive/deductive approach is presented. By analyzing the relationships that already exist …