We are thrilled to announce the first significant milestone of the Semantic Web Lab (SWLab) at the University of Zakho: the successful publication of our research paper at a Scopus indexed journal!
Paper Title:
“Survey on Semantic Similarity Based on Document Clustering”
Authors:
- Rowayda Ibrahim
- Subhi Zeebaree
- Karwan Jacksi
Overview:
This research explores the concept of clustering in data mining, emphasizing its application in intelligent text clustering. Traditional clustering algorithms often group documents based solely on keyword matching, leading to inaccurate groupings of unrelated documents. Our study addresses this limitation by focusing on semantic similarity, which clusters documents based on their meaning rather than mere keywords.
This publication is a testament to the lab’s commitment to advancing Semantic Web Technology and contributing to innovative solutions for real-world challenges.
Congratulations to the authors and the SWLab team for this remarkable achievement! We look forward to more groundbreaking contributions in the near future.
Paper Link: https://www.astesj.com/v04/i05/p15/