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Difficulty-level Modeling of Ontology-based Factual Questions [article]

Vinu E.V, P Sreenivasa Kumar
2017 arXiv   pre-print
We formulate ontology based metrics for the same. We then train three logistic regression models to predict the difficulty level corresponding to the three learner categories.  ...  Semantics based knowledge representations such as ontologies are found to be very useful in automatically generating meaningful factual questions.  ...  The model proposed in this paper for predicting the difficulty-level of questions is limited to ABoxbased factual questions.  ... 
arXiv:1709.00670v1 fatcat:ewsh3zncivba3cgzmnycbowq4u

Difficulty-level modeling of ontology-based factual questions

Vinu E. Venugopal, P. Sreenivasa Kumar, Michel Dumontier
2020 Semantic Web Journal  
Semantics-based knowledge representations such as ontologies are found to be very useful in automatically generating meaningful factual questions.  ...  We formulate ontology-based metrics for the same. We then train three logistic regression models to predict the difficulty-level corresponding to the three learner categories.  ...  Acknowledgements This project is funded by Ministry of Human Resource Development, Gov. of India. We express our fullest gratitude to the participants of our evaluation process: Dr.  ... 
doi:10.3233/sw-200381 fatcat:ajslsip3nfeopgldwacvdyyxs4

Comparative Study of Different Approaches for Measuring Difficulty Level of Question

Ayesha Pathan, Dr. Pravin Futane
2019 International Journal of Trend in Scientific Research and Development  
Semantics-based information representations such as ontologies are found to be very useful in repeatedly generating important factual questions.  ...  The accessible approaches for result the difficulty-level of factual questions are very simple and are limited to a few basic principles.  ...  The model proposed in this paper for predicting the difficulty-level of questions is limited to A Box based factual questions.  ... 
doi:10.31142/ijtsrd21532 fatcat:sejbuybbqbhgxj4hwudskoxl54

A Learning-Based Framework to Utilize E-HowNet Ontology and Wikipedia Sources to Generate Multiple-Choice Factual Questions

Min-Huang Chu, Wen-Yu Chen, Shou-De Lin
2012 2012 Conference on Technologies and Applications of Artificial Intelligence  
Learning-based approaches are applied to address the first two problems. We then propose a way to generate distractors by using E-HowNet ontology database and Wikipedia sources.  ...  We have decomposed this problem into several sub-tasks: a) the identification of sentences that contain factual knowledge, b) the identification of the query term from each factual sentence, and c) the  ...  We evaluated the effective of a multiple-choice question based on the following metrics. a) Item difficulty (ID) 6 5 6 Here we  ... 
doi:10.1109/taai.2012.38 dblp:conf/taai/ChuCL12 fatcat:735zakxycvc53ca7xscy2jhb4i

Automated generation of assessment tests from domain ontologies

Vinu E.V., P. Sreenivasa Kumar, Michel Dumontier
2017 Semantic Web Journal  
This system is further enhanced to include features such as finding the difficulty values of generated MCQs and controlling the overall difficulty-level of questionsets, to form Extended-ATG system.  ...  The ATG system was useful in generating multiple choice question-sets of a required cardinality, from a given formal ontology.  ...  The inputs to the system are: (1) a domain ontology (an OWL ontology), (2) size of the question-set to be generated and, (3) its difficulty-level. 2, by giving their base-tuples as input.  ... 
doi:10.3233/sw-170252 fatcat:66jgy2skvfd7tllv5pzm73jtrq

Evaluating Knowledge-Based Assistance for DIY

Marvin Schiller, Gregor Behnke, Pascal Bercher, Matthias Kraus, Michael Dorna, Felix Richter, Susanne Biundo, Birte Glimm, Wolfgang Minker
2018 Mensch & Computer  
We report on the development of a companion system incorporating hierarchical planning, ontology-based knowledge modeling and multimodal cloud-based dialog.  ...  As an application scenario, we consider the domain of do-it-yourself (DIY) home improvement involving the use of power tools.  ...  The industrial project partner is the Corporate Sector Research and Advance Engineering of Robert Bosch GmbH.  ... 
doi:10.18420/muc2018-ws19-0551 dblp:conf/mc/SchillerBBKDRBG18 fatcat:vb4g6sb4nfc75erkdhdcgda32a

Ontology-Based Multiple Choice Question Generation

Maha Al-Yahya
2014 The Scientific World Journal  
However, the applicability of these models for use in an educational setting has not been thoroughly evaluated.  ...  The findings of this study show that ontology-based MCQ generation systems produce satisfactory MCQ items to a certain extent.  ...  Conflict of Interests The author declares that there is no conflict of interests regarding the publication of this paper.  ... 
doi:10.1155/2014/274949 pmid:24982937 pmcid:PMC3984768 fatcat:t2xnhwpshzdyzbrtfjx4khr6su

An Ontology-Driven Learning Assessment Using the Script Concordance Test

Maja Radovic, Nenad Petrovic, Milorad Tosic
2022 Applied Sciences  
Assessing the level of domain-specific reasoning acquired by students is one of the major challenges in education particularly in medical education.  ...  The question is whether the usability of SCT could be raised to a level high enough to match the current education requirements by exploiting opportunities that new technologies provide, particularly semantic  ...  Conflicts of Interest: The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; nor in the decision to publish the results  ... 
doi:10.3390/app12031472 fatcat:gr6g6nzzmzbexl3fdpaxecrgqa

Modelling Learning Subjects as Relationships [chapter]

Martin Doerr
2005 Lecture Notes in Computer Science  
This structure is based on a systematic theory-driven connection of categorical and factual knowledge.  ...  This paper describes a novel intellectual structure for the subject space of material designed for selective autodidactic learning in a large knowledge base.  ...  Problems of Matching User Questions at the Categorical Level Matching a user question against a semantic network is relatively easy at the factual level.  ... 
doi:10.1007/978-3-540-32279-5_14 fatcat:3btgq7pecvfsljnaebaammie7y


R Vidya, D Vigneshwara Raj, K Sujatha
2017 ICTACT Journal on Soft Computing  
Generally, the questions are asked in the form of Searching or direct questions which follow perfect ontological directions.  ...  This Proposed Model presents a new dynamic model called Knowledge Understanding and Advance Searching (KUAS) that studies the importance of Smart Question Answering with other question answering engines  ...  DIMENSIONS OF QUESTION ANSWERING Various types of Questions can be formulated as follows:  Factual -It is based on facts.  ... 
doi:10.21917/ijsc.2017.0203 fatcat:a6o6ccuwyrg55kvg6afgyemlpy

Provenance for Linguistic Corpora Through Nanopublications [article]

Timo Lek, Anna de Groot, Tobias Kuhn, Roser Morante
2020 arXiv   pre-print
This paper addresses this issue with a case study on event annotated corpora and by creating a new, more interoperable representation of this data in the form of nanopublications.  ...  The queries show that information of multiple corpora can be retrieved more easily and effectively because the information of different corpora is represented in a uniform data format.  ...  Moreover, many annotation guidelines exist and each is usually represented in a different structure, increasing the difficulty in creating a standard model to transform annotations into RDF.  ... 
arXiv:2006.06341v2 fatcat:jlezlg5oxzexpjmta3myx2zsni

Architecture of an Ontology-Based Domain-Specific Natural Language Question Answering System

Athira P.M, Sreeja M, Reghuraj P.C
2013 International journal of Web & Semantic Technology  
This paper describes the architecture of a Natural Language Question Answering (NLQA) system for a specific domain based on the ontological information, a step towards semantic web question answering.  ...  We have achieved 94 % accuracy of natural language question answering in our implementation.  ...  For the testing we use the question track consisting of 100 questions of varying type complexity and difficulty.  ... 
doi:10.5121/ijwest.2013.4403 fatcat:rymzhy3bprcvheo4vqxvnoxbbq

A Knowledge-Model for AI-Driven Tutoring Systems [chapter]

Andreas Baumgart, Amir Madany Mamlouk
2022 Frontiers in Artificial Intelligence and Applications  
We will suggest a conceptual model of "knowledge" based on a variant of Bloom's taxonomy, transfer this concept of cognitive learning objectives into an ontology and describe an implementation into a web-based  ...  The approach has been employed to model the basics of abstract knowledge in engineering mechanics at university-level.  ...  Questions that can be addressed differently by different tutoring systems but based on an identical knowledge-model.  ... 
doi:10.3233/faia210474 fatcat:r53qgktgkvanfoev75zp5kx3fe

Common vs. Expert knowledge: making the Semantic Web an educational model

Muriel Foulonneau, Valentin Grouès
2012 The Web Conference  
We analyze the results of a test carried out with choice items (such as multiple choice questions), together with a Web mining approach, in order to provide indicators that the factual knowledge is common  ...  Model based learning uses models in order to generate educational resources and adapt learning paths to learners and their context.  ...  Papasalouros et al. (2010) generate multiple choice questions from OWL ontologies. Sung et al. (2007) generate semantic models before creating items based on those models.  ... 
dblp:conf/www/FoulonneauG12 fatcat:f7hzzy6u3zg2hiw7e4fus4bdkq

Automatic Exercise Generation in Euclidean Geometry [chapter]

Andreas Papasalouros
2013 IFIP Advances in Information and Communication Technology  
While most available approaches deal with the construction of question items that assess factual and conceptual knowledge, this paper presents a method and a tool for generating questions assessing procedural  ...  The method is based on rules defined as Horn clauses. The method enumerates candidate problems and certain techniques are proposed for selecting interesting problems.  ...  The difficulty of the questions can be specified, based on specific factors such as question length, the existence of distracting information, etc.  ... 
doi:10.1007/978-3-642-41142-7_15 fatcat:h2vvmd45n5fdzetuzlgwivxeou
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