Building semantic knowledge graphs from (semi-) structured data: a review
Knowledge graphs have, for the past decade, been a hot topic both in public and private
domains, typically used for large-scale integration and analysis of data using graph-based …
domains, typically used for large-scale integration and analysis of data using graph-based …
An adaptation of the vector-space model for ontology-based information retrieval
Semantic search has been one of the motivations of the semantic Web since it was
envisioned. We propose a model for the exploitation of ontology-based knowledge bases to …
envisioned. We propose a model for the exploitation of ontology-based knowledge bases to …
Semantically enhanced information retrieval: An ontology-based approach
Currently, techniques for content description and query processing in Information Retrieval
(IR) are based on keywords, and therefore provide limited capabilities to capture the …
(IR) are based on keywords, and therefore provide limited capabilities to capture the …
Ontological evaluation and validation
In the last few years, the Semantic Web gained scientific acceptance as the means of
sharing knowledge in different domains, and the cornerstone of the Semantic Web is …
sharing knowledge in different domains, and the cornerstone of the Semantic Web is …
[HTML][HTML] Towards next-generation urban decision support systems through ai-powered construction of scientific ontology using large language models—A case in …
Highlights What are the main findings? We have developed an integrated and automated
methodology that leverages a pre-trained Large Language Model (LLM) to generate …
methodology that leverages a pre-trained Large Language Model (LLM) to generate …
[PDF][PDF] Creating an ontology for the user profile: Method and applications
User profiling is commonly employed nowadays to enhance usability as well as to support
personalization, adaptivity and other user-centric features. Insofar, application designers …
personalization, adaptivity and other user-centric features. Insofar, application designers …
Ontology evaluation and ranking using OntoQA
S Tartir, IB Arpinar - International conference on semantic …, 2007 - ieeexplore.ieee.org
Ontologies form the cornerstone of the Semantic Web and are intended to help researchers
to analyze and share knowledge, and as more ontologies are being introduced, it is difficult …
to analyze and share knowledge, and as more ontologies are being introduced, it is difficult …
A systematic analysis of term reuse and term overlap across biomedical ontologies
Reusing ontologies and their terms is a principle and best practice that most ontology
development methodologies strongly encourage. Reuse comes with the promise to support …
development methodologies strongly encourage. Reuse comes with the promise to support …
Semantic and syntactic interoperability for agricultural open-data platforms in the context of IoT using crop-specific trait ontologies
Featured Application This study describes an open-data platform named Open Data in
Agriculture, which is designed to enhance precision agriculture (PA). The platform consists …
Agriculture, which is designed to enhance precision agriculture (PA). The platform consists …
CovidO: an ontology for COVID-19 metadata
Ontology is a significant data model for identifying semantic information for Coronavirus
disease (COVID-19) discovery. Large-scale biological and general datasets have recently …
disease (COVID-19) discovery. Large-scale biological and general datasets have recently …