IDEAS home Printed from https://ideas.repec.org/p/aeg/report/2018-03.html
   My bibliography  Save this paper

Ontology Extraction from Question/Answer Sections on Online Marketplaces

Author

Listed:
  • Sara Di Bartolomeo

    (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy)

  • Riccardo Rosati

    (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy)

Abstract

Online marketplaces are a significant part of the global market.They aggregate an enormous amount of data about the products that they are selling, in the form of product descriptions and reviews. Users form their opinions about an item according to other users' opinions, expressed in the form of reviews. A number of marketplaces are also starting to use a question/answer system along reviews, in which any user can post a question and another user can answer to that same question. There is a wealth of relevant data, though this information is expressed in natural language, meaning that it's understandable for a human being but difficult to translate into meaningful data for a computer program. We addressed the problems involved with the programmatic analysis of the language contained in question/answer sections with the purpose of extracting information to build and populate an expressive knowledge model. The approach we choose relies on the use of named entity recognition and part-of-speech tagging to identify concepts to populate the ontology, and learn relations between the elements of the ontology.

Suggested Citation

  • Sara Di Bartolomeo & Riccardo Rosati, 2018. "Ontology Extraction from Question/Answer Sections on Online Marketplaces," DIAG Technical Reports 2018-03, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    • Handle: RePEc:aeg:report:2018-03
    as

    Download full text from publisher

    File URL: http://wwwold.dis.uniroma1.it/~bibdis/RePEc/aeg/report/2018-03.pdf
    File Function: First version, 2018
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aeg:report:2018-03. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Antonietta Angelica Zucconi (email available below). General contact details of provider: https://edirc.repec.org/data/dirosit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.