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A Novel Approach to Ontology Classification

Birte Glimm, Ian Horrocks, Boris Motik, Rob Shearer, Giorgos Stoilos
2012 Social Science Research Network  
Ontology classification-the computation of the subsumption hierarchies for classes and properties-is a core reasoning service provided by all OWL reasoners known to us.  ...  In this paper we present a new classification algorithm that attempts to address certain shortcomings of ET and improve its performance.  ...  Acknowledgements The presented work is funded by the EPSRC project HermiT: Reasoning with Large Ontologies. The evaluation has been performed on computers of  ... 
doi:10.2139/ssrn.3198958 fatcat:ee2mcjtsbnfcdictirj35xcfke

A novel approach to ontology classification

Birte Glimm, Ian Horrocks, Boris Motik, Rob Shearer, Giorgos Stoilos
2012 Journal of Web Semantics  
Ontology classification-the computation of the subsumption hierarchies for classes and properties-is a core reasoning service provided by all OWL reasoners known to us.  ...  In this paper we present a new classification algorithm that attempts to address certain shortcomings of ET and improve its performance.  ...  Acknowledgements The presented work is funded by the EPSRC project HermiT: Reasoning with Large Ontologies. The evaluation has been performed on computers of  ... 
doi:10.1016/j.websem.2011.12.007 fatcat:pt2cpe2n4beu7evfonvrnylqle

Automated structural classification of lipids by machine learning

Ryan Taylor, Ryan H. Miller, Ryan D. Miller, Michael Porter, James Dalgleish, John T. Prince
2014 Computer applications in the biosciences : CABIOS  
Results: We introduce a tool that automates classification into the LIPID MAPS ontology of known lipids with >95% accuracy and novel lipids with 63% accuracy.  ...  Motivation: Modern lipidomics is largely dependent upon structural ontologies because of the great diversity exhibited in the lipidome, but no automated lipid classification exists to facilitate this partitioning  ...  We present an approach to generate a classifier trained on the LMLCS, which can be used to classify novel lipids automatically and assist in manual classification workflows.  ... 
doi:10.1093/bioinformatics/btu723 pmid:25359887 fatcat:ea57esstiras7gocqo5ktavp7a

NER-FL: A Novel Named Entity Recognizer of Farsi Languageusing the Web-Based Natural Language Processors and Semantic Annotations

Babak Farhadi
2014 International Journal of Computer Applications  
In this paper, we address the problem of NER on Farsi language by proposing NER-FL, a novel semantic framework which unifies three popular named entity extractors available on the web, and the NER-FL ontology  ...  KEYWORDS Web-based natural language processor, named entity, semantic web, ontology, Farsi language  ...  For future works, we plan to apply our proposed approach to video classification field.  ... 
doi:10.5120/17150-7193 fatcat:fvpucejwbvay3c42ld24fs4nuy

Self-organizing ontology of biochemically relevant small molecules

Leonid L Chepelev, Janna Hastings, Marcus Ennis, Christoph Steinbeck, Michel Dumontier
2012 BMC Bioinformatics  
Results: To address this, we present a formal framework based on Semantic Web technologies for the automatic design of chemical ontology which can be used for automated classification of novel entities  ...  Finally, we discuss an iterative approach that we envision for future biochemical ontology development.  ...  In this work, we propose a radically novel approach for structure-based chemical classification automation by abstracting and automating the majority of chemical curation to construct machine-and human-understandable  ... 
doi:10.1186/1471-2105-13-3 pmid:22221313 pmcid:PMC3267649 fatcat:puntuu4sufgxliesimufxeeefa

Ontology-driven Event Type Classification in Images [article]

Eric Müller-Budack, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek, Ralph Ewerth
2020 arXiv   pre-print
In this paper, we present a novel ontology-driven approach for the classification of event types in images.  ...  Several baselines are proposed including an ontology-driven learning approach that aims to exploit structured information of a knowledge graph to learn relevant event relations using deep neural networks  ...  In this paper, we introduce a novel ontology along with a dataset that enable us to develop a novel ontologydriven deep learning approach for event classification.  ... 
arXiv:2011.04714v1 fatcat:egtveazu25hmpdcrckmm2uo62a

Patent Classification Using Ontology-Based Patent Network Analysis

Meng-Jung Shih, Duen-Ren Liu
2010 Pacific Asia Conference on Information Systems  
In this study, we propose a novel patent network-based classification method to analyze query patents and predict their classes.  ...  The novel approach analyzes reachable nodes in the patent ontology network to calculate their relevance to query patents, after which it uses the modified k-nearest neighbor classifier to classify query  ...  CONCLUSION In this paper, we have proposed a novel patent network-based classification approach to obtain better prediction results.  ... 
dblp:conf/pacis/ShihL10 fatcat:lsq2tkbrb5asdgh5wequla6rr4

Multi-Label Classification using an Ontology

Yaya TRAORE, Sadouanouan MALO, Didier BASSOLE, Abdoulaye SERE
2019 International Journal of Advanced Computer Science and Applications  
In the prediction phase, if a label is not predicted, the ontology is used to prune the set of descendant labels. The results of experimental evaluation show the effectiveness of our approaches.  ...  In addition, our approach uses the ontology to take into account relationships between labels and to give the selection of positive and negative examples in the learning phase.  ...  In this paper, we propose a novel approach that uses a method of ML based on ontology to predict the categories of a new web page.  ... 
doi:10.14569/ijacsa.2019.0101264 fatcat:jjn4uxjphbbptkxd3fa2muehxe

A Survey of Ontologies on Disease Classification

2016 International Journal of Science and Research (IJSR)  
Our goal is to provide a method for improving the classification of medical ontology which will allow us to generate a new representation based on concepts.  ...  In medical ontology, it is often difficult to establish such definitions for diseases classification. This paper addresses the problem of classifying the disease based on medical ontology.  ...  With ontologies, using a common upper ontology or reference ontology to make easier the integration problem is also a common approach.  ... 
doi:10.21275/v5i4.nov162102 fatcat:wjjol3yeljhffmeilxdybk4p7i

Incorporating Concept Ontology for Hierarchical Video Classification, Annotation, and Visualization

Jianping Fan, Hangzai Luo, Yuli Gao, R. Jain
2007 IEEE transactions on multimedia  
To avoid the inter-level error transmission problem, a novel hierarchical boosting scheme is proposed by incorporating concept ontology and multitask learning to boost hierarchical video classifier training  ...  To speed up SVM video classifier training in high-dimensional heterogeneous feature space, a novel multimodal boosting algorithm is proposed by incorporating feature hierarchy and boosting to reduce both  ...  ACKNOWLEDGMENT The authors would like to thank the reviewers for their insightful comments and suggestions to make this paper more readable. They also thank Guest Editors Prof. G. Schreiber and Prof.  ... 
doi:10.1109/tmm.2007.900143 fatcat:ts2cgdhakreanildysxdmcbncm

A Novel Approach for Ontology-Based Feature Vector Generation for Web Text Document Classification

Mohamed K. Elhadad, Khaled M. Badran, Gouda I. Salama
2018 International Journal of Software Innovation  
)isusedtorepresenttextdocumentsandtheTerm FrequencyInverseDocumentFrequency(TFIDF)isusedasatermweightingtechnique.Theproposed ontologybasedapproachwasevaluatedagainstthePrincipalcomponentanalysis(PCA)approach  ...  Thetaskofextractingtheusedfeaturevectorinminingtasks(classification,clustering...etc.)is consideredthemostimportanttaskforenhancingthetextprocessingcapabilities.Thispaperproposes anovelapproachtobeusedinbuildingthefeaturevectorusedinwebtextdocumentclassification  ...  A related work is discussed in Section 2.  ... 
doi:10.4018/ijsi.2018010101 fatcat:fc4uet6aa5gkxif6apn37naipa

Learning chemistry: exploring the suitability of machine learning for the task of structure-based chemical ontology classification

Janna Hastings, Martin Glauer, Adel Memariani, Fabian Neuhaus, Till Mossakowski
2021 Journal of Cheminformatics  
There is a need for tools that are able to automatically classify chemical data into chemical ontologies, which can be framed as a hierarchical multi-class classification problem.  ...  ChEBI is a prominent example of a chemical ontology, widely used in life science contexts.  ...  We plan to explore in the future whether such approaches can yield a benefit for structure-based chemical ontology classification.  ... 
doi:10.1186/s13321-021-00500-8 pmid:33726837 fatcat:3xlvsmlwnfbkfjwi2igyajrela

Automated gene expression pattern annotation in the mouse brain

Tao Yang, Xinlin Zhao, Binbin Lin, Tao Zeng, Shuiwang Ji, Jieping Ye
2015 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  
In addition, we propose a novel structure-based multi-label classification approach, which makes use of label hierarchy based on brain ontology during model learning.  ...  Our approach is shown to be robust on both binary-class and multi-class tasks and even with a relatively low training ratio.  ...  To utilize hierarchy information among the brain ontology, a novel structure-based multi-label classification approach is proposed.  ... 
pmid:25592576 pmcid:PMC4299912 fatcat:tqh2sfx2gjbdlolag7tkgtdbcu

Visually Supporting Image Annotation Based on Visual Features and Ontologies

Jalila Filali, Hajer Baazaoui Zghal, Jean Martinet
2017 2017 21st International Conference Information Visualisation (IV)  
Our goal consists on improving the visual image annotation by:(1) extracting invariant and complex visual features; (2) integrating feature classification results and semantic concepts to build ontology  ...  In this paper, we propose a visually supporting image annotation framework based on visual features and ontologies.  ...  For instance, [14] have proposed a novel method to use a hierarchy defined on the annotation words derived from text ontology to improve automatic image annotation and retrieval.  ... 
doi:10.1109/iv.2017.27 dblp:conf/iv/FilaliZM17 fatcat:4dw7pfrpmjajpfk5xpx6rb36fi

Semantic Ontology-Based Approach to Enhance Arabic Text Classification

Ahmad Hawalah
2019 Big Data and Cognitive Computing  
Text classification is a process of classifying textual contents to a set of predefined classes and categories.  ...  We have introduced a semantic enhancement model to improve Arabic text classification and the topic discovery technique by utilizing the rich semantic information in Arabic ontology.  ...  The lack of studies in the Information retrieval domain for the Arabic language has motivated us to present a novel approach in improving the traditional classification algorithms to cope with the challenges  ... 
doi:10.3390/bdcc3040053 fatcat:y573mco2yvhypbvfncahatfwym
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