Semantic web technologies for the internet of things: Systematic literature review

A Rhayem, MBA Mhiri, F Gargouri - Internet of Things, 2020 - Elsevier
Nowadays, the use of the Internet of Things (IoT) in diverse applications becomes very
popular. Accordingly, a proliferation of objects with remote sensing, actuation, analysis, and …

Ontology learning from text: A look back and into the future

W Wong, W Liu, M Bennamoun - ACM computing surveys (CSUR), 2012 - dl.acm.org
Ontologies are often viewed as the answer to the need for interoperable semantics in
modern information systems. The explosion of textual information on the Read/Write Web …

A unified form of fuzzy C-means and K-means algorithms and its partitional implementation

ID Borlea, RE Precup, AB Borlea, D Iercan - Knowledge-Based Systems, 2021 - Elsevier
This paper proposes as an element of novelty the Unified Form (UF) clustering algorithm,
which treats Fuzzy C-Means (FCM) and K-Means (KM) algorithms as a single configurable …

A survey of clustering algorithms for big data: Taxonomy and empirical analysis

A Fahad, N Alshatri, Z Tari, A Alamri… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Clustering algorithms have emerged as an alternative powerful meta-learning tool to
accurately analyze the massive volume of data generated by modern applications. In …

[HTML][HTML] Ontology-based knowledge representation of industrial production workflow

C Yang, Y Zheng, X Tu, R Ala-Laurinaho… - Advanced Engineering …, 2023 - Elsevier
Industry 4.0 is hel** to unleash a new age of digitalization across industries, leading to a
data-driven, interoperable, and decentralized production process. To achieve this major …

Cybersecurity vulnerability management: A conceptual ontology and cyber intelligence alert system

R Syed - Information & Management, 2020 - Elsevier
Effective vulnerability management requires the integration of vulnerability information
available on multiple sources, including social media. The information could be used to …

[HTML][HTML] Building knowledge graphs from unstructured texts: Applications and impact analyses in cybersecurity education

G Agrawal, Y Deng, J Park, H Liu, YC Chen - Information, 2022 - mdpi.com
Knowledge graphs gained popularity in recent years and have been useful for concept
visualization and contextual information retrieval in various applications. However …

Инженерия знаний. Модели и методы

ТА Гаврилова, ДВ Кудрявцев, Д Муромцев - 2016 - elibrary.ru
Учебник посвящен вопросам анализа и структурирования данных и знаний для
разработки информационных и интеллектуальных систем. В нем детально …

[PDF][PDF] Approaches, methods, metrics, measures, and subjectivity in ontology evaluation: A survey

H Hlomani, D Stacey - Semantic Web Journal, 2014 - cobweb.cs.uga.edu
Ontology evaluation is concerned with ascertain two important aspects of ontologies: quality
and correctness. The distinction between the two is attempted in this survey as a way to …

Semantically enhanced information retrieval: An ontology-based approach

M Fernández, I Cantador, V López, D Vallet… - Journal of Web …, 2011 - Elsevier
Currently, techniques for content description and query processing in Information Retrieval
(IR) are based on keywords, and therefore provide limited capabilities to capture the …