A document query search using an extended centrality with the Word2vec

Wooju Kim; Heewon Jang; Hak Jin Kim; Donghe Kim

doi:10.1145/2971603.2971617

A document query search using an extended centrality with the Word2vec

Wooju Kim, Heewon Jang, Hak Jin Kim, Donghe Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

While everyday document search is done by keyword-based queries to search engines, we have situations that need deep search of documents such as scrutinies of patents, legal documents, and so on. In such cases, using document queries, instead of keyword-based queries, can be more helpful because it exploits more information from the query document. This paper studies a scheme of document search based on document queries. In particular, it uses centrality vectors, instead of tf-idf vectors, to represent query documents, combined with the Word2vec method to capture the semantic similarity in contained words. This scheme improves the performance of document search and provides a way to find documents not only lexically, but semantically close to a query document.

Original language	English
Title of host publication	Proceedings of the 18th Annual International Conference on Electronic Commerce
Subtitle of host publication	e-Commerce in Smart connected World, ICEC 2016
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450342223
DOIs	https://doi.org/10.1145/2971603.2971617
Publication status	Published - 2016 Aug 17
Event	18th International Conference on Electronic Commerce, ICEC 2016 - Suwon, Korea, Republic of Duration: 2016 Aug 17 → 2016 Aug 19

Publication series

Name	ACM International Conference Proceeding Series
Volume	17-19-August-2016

Other

Other	18th International Conference on Electronic Commerce, ICEC 2016
Country/Territory	Korea, Republic of
City	Suwon
Period	16/8/17 → 16/8/19

Bibliographical note

Publisher Copyright:
Copyright is held by the owner/author(s).

All Science Journal Classification (ASJC) codes

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/2971603.2971617

Cite this

Kim, W., Jang, H., Kim, H. J., & Kim, D. (2016). A document query search using an extended centrality with the Word2vec. In Proceedings of the 18th Annual International Conference on Electronic Commerce: e-Commerce in Smart connected World, ICEC 2016 [2971617] (ACM International Conference Proceeding Series; Vol. 17-19-August-2016). Association for Computing Machinery. https://doi.org/10.1145/2971603.2971617

@inproceedings{b6304738ed494ed68bbbb06e74deedfc,

title = "A document query search using an extended centrality with the Word2vec",

abstract = "While everyday document search is done by keyword-based queries to search engines, we have situations that need deep search of documents such as scrutinies of patents, legal documents, and so on. In such cases, using document queries, instead of keyword-based queries, can be more helpful because it exploits more information from the query document. This paper studies a scheme of document search based on document queries. In particular, it uses centrality vectors, instead of tf-idf vectors, to represent query documents, combined with the Word2vec method to capture the semantic similarity in contained words. This scheme improves the performance of document search and provides a way to find documents not only lexically, but semantically close to a query document.",

author = "Wooju Kim and Heewon Jang and Kim, {Hak Jin} and Donghe Kim",

note = "Publisher Copyright: Copyright is held by the owner/author(s).; 18th International Conference on Electronic Commerce, ICEC 2016 ; Conference date: 17-08-2016 Through 19-08-2016",

year = "2016",

month = aug,

day = "17",

doi = "10.1145/2971603.2971617",

language = "English",

series = "ACM International Conference Proceeding Series",

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booktitle = "Proceedings of the 18th Annual International Conference on Electronic Commerce",

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Kim, W, Jang, H, Kim, HJ & Kim, D 2016, A document query search using an extended centrality with the Word2vec. in Proceedings of the 18th Annual International Conference on Electronic Commerce: e-Commerce in Smart connected World, ICEC 2016., 2971617, ACM International Conference Proceeding Series, vol. 17-19-August-2016, Association for Computing Machinery, 18th International Conference on Electronic Commerce, ICEC 2016, Suwon, Korea, Republic of, 16/8/17. https://doi.org/10.1145/2971603.2971617

A document query search using an extended centrality with the Word2vec. / Kim, Wooju; Jang, Heewon; Kim, Hak Jin et al.
Proceedings of the 18th Annual International Conference on Electronic Commerce: e-Commerce in Smart connected World, ICEC 2016. Association for Computing Machinery, 2016. 2971617 (ACM International Conference Proceeding Series; Vol. 17-19-August-2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - While everyday document search is done by keyword-based queries to search engines, we have situations that need deep search of documents such as scrutinies of patents, legal documents, and so on. In such cases, using document queries, instead of keyword-based queries, can be more helpful because it exploits more information from the query document. This paper studies a scheme of document search based on document queries. In particular, it uses centrality vectors, instead of tf-idf vectors, to represent query documents, combined with the Word2vec method to capture the semantic similarity in contained words. This scheme improves the performance of document search and provides a way to find documents not only lexically, but semantically close to a query document.

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A document query search using an extended centrality with the Word2vec

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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