A Semantic Search Technique with Wikipedia-Based Text Representation Model
Authors | Ki-Joo Hong Han-Joon Kim |
|---|---|
Publication date | 2016 |
DOI | 10.1109/BIGCOMP.2016.7425818 |
Links | Original |
A Semantic Search Technique with Wikipedia-Based Text Representation Model - scientific work related to Wikipedia quality published in 2016, written by Ki-Joo Hong and Han-Joon Kim.
Overview
Semantic search is known as a series of activities and techniques to improve the search accuracy by clearly understanding users' search intent. Usually, semantic search engines requires ontology and semantic metadata to analyze user queries. However, building a particular ontology and semantic metadata intended for large amounts of data is a very time-consuming and costly task. In order to resolve this problem, authors propose a novel semantic search method that does not require ontologies and semantic metadata by taking advantage of semantically enriched text model. Through extensive experiments using the OSHUMED document collection and SCOPUS library data, authors show that proposed method improves users' search satisfaction.
Embed
Wikipedia Quality
Hong, Ki-Joo; Kim, Han-Joon. (2016). "[[A Semantic Search Technique with Wikipedia-Based Text Representation Model]]".DOI: 10.1109/BIGCOMP.2016.7425818.
English Wikipedia
{{cite journal |last1=Hong |first1=Ki-Joo |last2=Kim |first2=Han-Joon |title=A Semantic Search Technique with Wikipedia-Based Text Representation Model |date=2016 |doi=10.1109/BIGCOMP.2016.7425818 |url=https://wikipediaquality.com/wiki/A_Semantic_Search_Technique_with_Wikipedia-Based_Text_Representation_Model}}
HTML
Hong, Ki-Joo; Kim, Han-Joon. (2016). "<a href="https://wikipediaquality.com/wiki/A_Semantic_Search_Technique_with_Wikipedia-Based_Text_Representation_Model">A Semantic Search Technique with Wikipedia-Based Text Representation Model</a>".DOI: 10.1109/BIGCOMP.2016.7425818.
