Szczegóły publikacji

Opis bibliograficzny

Semantic search extension based on Polish WordNet relations in business document exploration / Piotr POTIOPA, Michał KARWATOWSKI, Jerzy DUDA, Paweł Sasor, Maciej WIELGOSZ, Bartłomiej Muzykiewicz // W: IML 2017 [Dokument elektroniczny] : international conference on Internet of things and Machine Learning : October 17–18, 2017, Liverpool, United Kingdom. — New York : Association for Computing Machinery (ACM) International Conference Proceedings Series (ICPS), cop. 2017. — e-ISBN: 978-1-4503-5243-7. — S. [1–7] art. no. 34. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [7], Abstr.


Autorzy (6)


Słowa kluczowe

WordNetNLPsemantic similaritysemantic search engineinformation retrieval

Dane bibliometryczne

ID BaDAP127710
Data dodania do BaDAP2020-02-24
Tekst źródłowyURL
DOI10.1145/3109761.3158401
Rok publikacji2017
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
Creative Commons
WydawcaAssociation for Computing Machinery (ACM)
KonferencjaInternational conference on Internet of things and Machine Learning

Abstract

This paper addresses the problem of building a specialized semantic search engine for documents collected in small or medium-sized enterprises. It presents the results of a project that brought together computer scientists and entrepreneurs for the purpose of providing a common perspective regarding the implementation in company practice of a search engine based on the Polish version of WordNet semantic relations. The core functionality of the search engine module is provided along with a discussion on how to arrange semantic similarity structures so as to ensure the efficient generation of relevant search engine results. Some patterns and similarity coefficients for hyperonymy, hyponymy, holonymy and meronymy relations are presented and analyzed for the purpose of producing relationship structures. Finally, the architecture of the system that can be implemented in a company is outlined.

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