activity
20092022
most citedModeling of Item-Difficulty for Ontology-based MCQs

6 citations · 13 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2022★ 1 cited

OLGA : An Ontology and LSTM-based approach for generating Arithmetic Word Problems (AWPs) of transfer type

Suresh Kumar, P Sreenivasa Kumar

Machine generation of Arithmetic Word Problems (AWPs) is challenging as they express quantities and mathematical relationships and need to be consistent. ML-solvers require a large…

cs.DB2020

A Simple and Efficient Framework for Identifying Relation-gaps in Ontologies

Subhashree S, P Sreenivasa Kumar

Though many ontologies have huge number of classes, one cannot find a good number of object properties connecting the classes in most of the cases. Adding object properties makes a…

cs.AI2017

Extracting Ontological Knowledge from Textual Descriptions

Kevin Alex Mathews, P Sreenivasa Kumar

Authoring of OWL-DL ontologies is intellectually challenging and to make this process simpler, many systems accept natural language text as input. A text-based ontology authoring a…

cs.AI2017★ 1 cited

Difficulty-level Modeling of Ontology-based Factual Questions

Vinu E., P Sreenivasa Kumar

Semantics based knowledge representations such as ontologies are found to be very useful in automatically generating meaningful factual questions. Determining the difficulty level…

cs.AI2016★ 1 cited

Ontology Verbalization using Semantic-Refinement

Vinu E., P Sreenivasa Kumar

We propose a rule-based technique to generate redundancy-free NL descriptions of OWL entities.The existing approaches which address the problem of verbalizing OWL ontologies genera…

cs.AI2016★ 1 cited

Redundancy-free Verbalization of Individuals for Ontology Validation

E. V. Vinu, P Sreenivasa Kumar

We investigate the problem of verbalizing Web Ontology Language (OWL) axioms of domain ontologies in this paper. The existing approaches address the problem of fidelity of verbaliz…

cs.AI2016★ 6 cited

Modeling of Item-Difficulty for Ontology-based MCQs

Vinu E., Tahani Alsubait, P. Sreenivasa Kumar

Multiple choice questions (MCQs) that can be generated from a domain ontology can significantly reduce human effort & time required for authoring & administering assessments in an…

cs.DB2016★ 3 cited

Enriching Linked Datasets with New Object Properties

Subhashree S, P Sreenivasa Kumar

Although several RDF knowledge bases are available through the LOD initiative, the ontology schema of such linked datasets is not very rich. In particular, they lack object propert…

cs.IR2009

USUM: Update Summary Generation System

C Ravindranath Chowdary, P Sreenivasa Kumar

Huge amount of information is present in the World Wide Web and a large amount is being added to it frequently. A query-specific summary of multiple documents is very helpful to th…