activity
20222026
most citedA Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

COREKG: Coreset-Guided Personalized Summarization of Knowledge Graphs

Sohel Aman Khan, Raghava Mutharaju, Supratim Shit

Knowledge Graphs (KGs) are extensively used across different domains and in several applications. Often, these KGs are very large in size. Such KGs become unwieldy for tasks such a…

cs.CL2023★ 1 cited

ReOnto: A Neuro-Symbolic Approach for Biomedical Relation Extraction

Monika Jain, Kuldeep Singh, Raghava Mutharaju

Relation Extraction (RE) is the task of extracting semantic relationships between entities in a sentence and aligning them to relations defined in a vocabulary, which is generally…

cs.AI2023

Neuro-Symbolic RDF and Description Logic Reasoners: The State-Of-The-Art and Challenges

Gunjan Singh, Sumit Bhatia, Raghava Mutharaju

Ontologies are used in various domains, with RDF and OWL being prominent standards for ontology development. RDF is favored for its simplicity and flexibility, while OWL enables de…

cs.AI2023★ 2 cited

A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency

Bharath Muppasani, Vishal Pallagani, Biplav Srivastava +3

Ontologies are known for their ability to organize rich metadata, support the identification of novel insights via semantic queries, and promote reuse. In this paper, we consider t…

cs.AI2022★ 1 cited

OntoSeer -- A Recommendation System to Improve the Quality of Ontologies

Pramit Bhattacharyya, Raghava Mutharaju

Building an ontology is not only a time-consuming process, but it is also confusing, especially for beginners and the inexperienced. Although ontology developers can take the help…