515 citations · 522 across the 3 of their papers we have counts for
6 papers
Graph-based Ontology Summarization: A Survey
Seyedamin Pouriyeh, Mehdi Allahyari, Qingxia Liu +4
Ontologies have been widely used in numerous and varied applications, e.g., to support data modeling, information integration, and knowledge management. With the increasing size of…
A Comprehensive Survey of Ontology Summarization: Measures and Methods
Seyedamin Pouriyeh, Mehdi Allahyari, Krys Kochut +1
The Semantic Web is becoming a large scale framework that enables data to be published, shared, and reused in the form of ontologies. The ontology which is considered as basic buil…
A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques
Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Assefi +4
The amount of text that is generated every day is increasing dramatically. This tremendous volume of mostly unstructured text cannot be simply processed and perceived by computers.…
Text Summarization Techniques: A Brief Survey
Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Assefi +4
In recent years, there has been a explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source of information and knowledge which nee…
GELATO and SAGE: An Integrated Framework for MS Annotation
Khalifeh AlJadda, Rene Ranzinger, Melody Porterfield +6
Several algorithms and tools have been developed to (semi) automate the process of glycan identification by interpreting Mass Spectrometric data. However, each has limitations when…
Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model
Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz +7
Probabilistic Graphical Models (PGM) are very useful in the fields of machine learning and data mining. The crucial limitation of those models,however, is the scalability. The Baye…