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One General Approach For Analysing Compositional Structure Of Terms In Biomedical Field
Jönköping University, School of Engineering, JTH. Research area Information Engineering.
Jönköping University, School of Engineering, JTH. Research area Information Engineering.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The root is the primary lexical unit of Ontological terms, which carries the most significant aspects of semantic content and cannot be reduced into small constituents. It is the key of ontological term structure. After the identification of root, we can easily get the meaning of terms. According to the meaning, it’s helpful to identify the other parts of terms, such as the relation, definition and so on. We have generated a general classification model to identify the roots of terms in this master thesis. There are four features defined in our classification model: the Token, the POS, the Length and the Position. Implementation is followed using Java and algorithm is followed using Naïve Bayes. We implemented and evaluated the classification model using Gene Ontology (GO). The evaluation results showed that our framework and model were effective.

Place, publisher, year, edition, pages
2013. , 53 p.
Keyword [en]
Gene ontology, Machine learning, Classification, Bayes Algorithm, Probability
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hj:diva-20913OAI: oai:DiVA.org:hj-20913DiVA: diva2:614500
Subject / course
JTH, Informatics
Uppsok
Technology
Supervisors
Available from: 2013-04-10 Created: 2013-04-04 Last updated: 2013-04-10Bibliographically approved

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fulltext(978 kB)609 downloads
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Type fulltextMimetype application/pdf

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Electrical Engineering, Electronic Engineering, Information Engineering

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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