Hybrid semantic retrieval = user-community profiling + domain knowledge + content-based retrieval

Qing Li; Haoran Xie; Wei Chen; Lijuan Yu

doi:10.1109/JCPC.2009.5420188

Hybrid semantic retrieval = user-community profiling + domain knowledge + content-based retrieval

Qing Li^*, Haoran Xie, Wei Chen, Lijuan Yu

^*Corresponding author for this work

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

The paradigm of Content-based retrieval (CBR) with query-by-example (QBE) has been prevailing in multimedia applications and systems. While the CRB/QBE approach is easy to use from the end-user's perspective, it is not always possible for a user to prepare/have a suitable "example" in hand; besides, the lack of semantics inherent to this approach may cause strange things to happen (e.g., funny results) . In this paper, we argue that multimedia retrieval should be knowledge-based and semantics-driven, preferably with personalization support. Through a case study on a distributed multimedia recipe database (DMRD) system, we show that User-community Profiling + Domain Knowledge + CBR (including keywords/QBE) is an effective way to go forward. Experiments on a prototype of DMRD system demonstrate the feasibility and effectiveness of such a hybrid approach we are advocating. © 2009 IEEE

Original language	English
Title of host publication	2009 Joint Conferences on Pervasive Computing, JCPC 2009
Publisher	IEEE
Pages	215-222
ISBN (Print)	9781424452279
DOIs	https://doi.org/10.1109/JCPC.2009.5420188
Publication status	Published - Dec 2009
Event	2009 Joint Conferences on Pervasive Computing, JCPC 2009 - Tamsui, Taipei, Taiwan, China Duration: 3 Dec 2009 → 5 Dec 2009

Conference

Conference	2009 Joint Conferences on Pervasive Computing, JCPC 2009
Place	Taiwan, China
City	Tamsui, Taipei
Period	3/12/09 → 5/12/09

Research Keywords

Content-based information tretieval
Multimedia database
Peer-to-peer network
Personalization
Recipe database

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10.1109/JCPC.2009.5420188

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title = "Hybrid semantic retrieval = user-community profiling + domain knowledge + content-based retrieval",

abstract = "The paradigm of Content-based retrieval (CBR) with query-by-example (QBE) has been prevailing in multimedia applications and systems. While the CRB/QBE approach is easy to use from the end-user's perspective, it is not always possible for a user to prepare/have a suitable {"}example{"} in hand; besides, the lack of semantics inherent to this approach may cause strange things to happen (e.g., funny results) . In this paper, we argue that multimedia retrieval should be knowledge-based and semantics-driven, preferably with personalization support. Through a case study on a distributed multimedia recipe database (DMRD) system, we show that User-community Profiling + Domain Knowledge + CBR (including keywords/QBE) is an effective way to go forward. Experiments on a prototype of DMRD system demonstrate the feasibility and effectiveness of such a hybrid approach we are advocating. {\textcopyright} 2009 IEEE",

keywords = "Content-based information tretieval, Multimedia database, Peer-to-peer network, Personalization, Recipe database",

author = "Qing Li and Haoran Xie and Wei Chen and Lijuan Yu",

year = "2009",

month = dec,

doi = "10.1109/JCPC.2009.5420188",

language = "English",

isbn = "9781424452279",

pages = "215--222",

booktitle = "2009 Joint Conferences on Pervasive Computing, JCPC 2009",

publisher = "IEEE",

address = "United States",

note = "2009 Joint Conferences on Pervasive Computing, JCPC 2009 ; Conference date: 03-12-2009 Through 05-12-2009",

}

Hybrid semantic retrieval = user-community profiling + domain knowledge + content-based retrieval. / Li, Qing; Xie, Haoran; Chen, Wei et al.
2009 Joint Conferences on Pervasive Computing, JCPC 2009. IEEE, 2009. p. 215-222.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Hybrid semantic retrieval = user-community profiling + domain knowledge + content-based retrieval

AU - Li, Qing

AU - Xie, Haoran

AU - Chen, Wei

AU - Yu, Lijuan

PY - 2009/12

Y1 - 2009/12

N2 - The paradigm of Content-based retrieval (CBR) with query-by-example (QBE) has been prevailing in multimedia applications and systems. While the CRB/QBE approach is easy to use from the end-user's perspective, it is not always possible for a user to prepare/have a suitable "example" in hand; besides, the lack of semantics inherent to this approach may cause strange things to happen (e.g., funny results) . In this paper, we argue that multimedia retrieval should be knowledge-based and semantics-driven, preferably with personalization support. Through a case study on a distributed multimedia recipe database (DMRD) system, we show that User-community Profiling + Domain Knowledge + CBR (including keywords/QBE) is an effective way to go forward. Experiments on a prototype of DMRD system demonstrate the feasibility and effectiveness of such a hybrid approach we are advocating. © 2009 IEEE

AB - The paradigm of Content-based retrieval (CBR) with query-by-example (QBE) has been prevailing in multimedia applications and systems. While the CRB/QBE approach is easy to use from the end-user's perspective, it is not always possible for a user to prepare/have a suitable "example" in hand; besides, the lack of semantics inherent to this approach may cause strange things to happen (e.g., funny results) . In this paper, we argue that multimedia retrieval should be knowledge-based and semantics-driven, preferably with personalization support. Through a case study on a distributed multimedia recipe database (DMRD) system, we show that User-community Profiling + Domain Knowledge + CBR (including keywords/QBE) is an effective way to go forward. Experiments on a prototype of DMRD system demonstrate the feasibility and effectiveness of such a hybrid approach we are advocating. © 2009 IEEE

KW - Content-based information tretieval

KW - Multimedia database

KW - Peer-to-peer network

KW - Personalization

KW - Recipe database

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DO - 10.1109/JCPC.2009.5420188

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424452279

SP - 215

EP - 222

BT - 2009 Joint Conferences on Pervasive Computing, JCPC 2009

PB - IEEE

T2 - 2009 Joint Conferences on Pervasive Computing, JCPC 2009

Y2 - 3 December 2009 through 5 December 2009

ER -

Hybrid semantic retrieval = user-community profiling + domain knowledge + content-based retrieval

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