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Semi-Automatic Terminology Ontology Learning Based on Topic Modeling [PDF]

open access: greenEngineering Applications of Artificial Intelligence, 2017
Ontologies provide features like a common vocabulary, reusability, machine-readable content, and also allows for semantic search, facilitate agent interaction and ordering & structuring of knowledge for the Semantic Web (Web 3.0) application. However, the challenge in ontology engineering is automatic learning, i.e., the there is still a lack of ...
Monika Rani, Amit Kumar Dhar, O. P. Vyas
semanticscholar   +9 more sources

SCIENTIFIC APPROACH TO NEBIZ TERMINOLOGY ON AN ACCOUNT OF ISLAMIC LAWS FOR THE TOPIC OF BEVERAGES AND LIQUID FOODS

open access: bronzeHelal ve Etik Araştırmalar Dergisi, 2023
Nebiz, ülkemizdeki karşılığı ile “şıra” diye bilinen özellikle yaş veya kuru haldeki hurma veya üzümden, parçalanıp sulandırılarak üretilmiş şekerli ve alkol içermeyen sıvı içecek grubudur.
Adem Elgün
semanticscholar   +7 more sources

Effects of Terminology on Health Queries: An Analysis by User’s Health Literacy and Topic Familiarity

open access: green, 2015
Prior studies have shown that terminology support can improve health information retrieval but have not taken into account the characteristics of the user performing the search.
Carla Teixeira Lopes, Cristina Ribeiro
semanticscholar   +5 more sources

Query Behavior: The Impact of Health Literacy, Topic Familiarity and Terminology

open access: closedInternational Conference on Human Factors in Computing & Informatics, 2013
We conducted a user study to analyze how health literacy, topic familiarity and the terminology used in past queries affect query behavior in health searches. We found that users with inadequate health literacy have less success in web searches and show more difficulties in query formulation.
Carla Teixeira Lopes, Cristina Ribeiro
semanticscholar   +5 more sources

Terminological variation, a means of identifying research topics from texts [PDF]

open access: bronzeProceedings of the 17th international conference on Computational linguistics -, 1998
After extracting terms from a corpus of titles and abstracts in English, syntactic variation relations are identified amongst them in order to detect research topics. Three types of syntactic variations were studied: permutation, expansion and substitution. These syntactic variations yield other relations of formal and conceptual nature.
Fidelia Ibekwe-Sanjuan
  +7 more sources

Unsupervised Terminological Ontology Learning Based on Hierarchical Topic Modeling [PDF]

open access: green2017 IEEE International Conference on Information Reuse and Integration (IRI), 2017
In this paper, we present hierarchical relationbased latent Dirichlet allocation (hrLDA), a data-driven hierarchical topic model for extracting terminological ontologies from a large number of heterogeneous documents. In contrast to traditional topic models, hrLDA relies on noun phrases instead of unigrams, considers syntax and document structures, and
Xiaofeng Zhu   +2 more
openalex   +5 more sources

Improving Terminology to Describe Coronary Artery Procedures: JACC Review Topic of the Week.

open access: yesJournal of the American College of Cardiology, 2021
Coronary artery disease (CAD) is treated with medical therapy with or without percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG). The latter 2 options are commonly referred to as "myocardial revascularization" procedures.
T. Doenst   +4 more
semanticscholar   +4 more sources

Standardization of terminology in stereotactic radiosurgery: Report from the Standardization Committee of the International Leksell Gamma Knife Society: special topic. [PDF]

open access: yesJournal of Neurosurgery, 2014
OBJECT This report has been prepared to ensure more uniform reporting of Gamma Knife radiosurgery treatment parameters by identifying areas of controversy, confusion, or imprecision in terminology and recommending standards.
M. Torrens   +13 more
semanticscholar   +4 more sources

Two-stage technology of automated terminology extraction based on topic modeling and context analysis

open access: goldTransaction Kola Science Centre, 2021
The paper deals with the task of automated terminology extraction. A two-stage technology for its solution is proposed, based on topic modeling and analyzing the context of the use of lexical units. The results of experimental verification of the technology and the prospects for its further development are presented.
М. Г. Шишаев   +2 more
openalex   +2 more sources

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