An architecture and a prototype for querying and visualising recorded context information

Erqiang Zhou; Bing Wu; Jianfeng Wu; Yi Ding

doi:10.1007/978-3-642-24279-3_34

An architecture and a prototype for querying and visualising recorded context information

Erqiang Zhou, Bing Wu, Jianfeng Wu, Yi Ding

Technological University Dublin

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

Abstract

This paper presents an architecture and a prototype for querying and visualising context information. The COINS modelling approach is employed to define and record the target information and its context information of an application domain. Two querying methods are provided for retrieving the recorded information: 1) natural language query which targets at physical context information and; 2) visual query environment which aims at logical context information. A knowledge representation model, master dictionary, is employed to facilitate the analyses of natural language queries. A prototype system based on the puzzle game Sudoku is used to illustrate the visual querying method, which integrates a replaying mechanism for the recorded context information.

Original language	English
Title of host publication	Modeling and Using Context - 7th International and Interdisciplinary Conference, CONTEXT 2011, Proceedings
Pages	321-334
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-642-24279-3_34
Publication status	Published - 2011
Event	7th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2011 - Karlsruhe, Germany Duration: 26 Sep 2011 → 30 Sep 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6967 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2011
Country/Territory	Germany
City	Karlsruhe
Period	26/09/11 → 30/09/11

Access to Document

10.1007/978-3-642-24279-3_34

Cite this

Zhou, E., Wu, B., Wu, J., & Ding, Y. (2011). An architecture and a prototype for querying and visualising recorded context information. In Modeling and Using Context - 7th International and Interdisciplinary Conference, CONTEXT 2011, Proceedings (pp. 321-334). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6967 LNAI). https://doi.org/10.1007/978-3-642-24279-3_34

Zhou, Erqiang ; Wu, Bing ; Wu, Jianfeng et al. / An architecture and a prototype for querying and visualising recorded context information. Modeling and Using Context - 7th International and Interdisciplinary Conference, CONTEXT 2011, Proceedings. 2011. pp. 321-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{8cc73c060d664ed1a7f0f99dde29e148,

title = "An architecture and a prototype for querying and visualising recorded context information",

abstract = "This paper presents an architecture and a prototype for querying and visualising context information. The COINS modelling approach is employed to define and record the target information and its context information of an application domain. Two querying methods are provided for retrieving the recorded information: 1) natural language query which targets at physical context information and; 2) visual query environment which aims at logical context information. A knowledge representation model, master dictionary, is employed to facilitate the analyses of natural language queries. A prototype system based on the puzzle game Sudoku is used to illustrate the visual querying method, which integrates a replaying mechanism for the recorded context information.",

author = "Erqiang Zhou and Bing Wu and Jianfeng Wu and Yi Ding",

year = "2011",

doi = "10.1007/978-3-642-24279-3\_34",

language = "English",

isbn = "9783642242786",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "321--334",

booktitle = "Modeling and Using Context - 7th International and Interdisciplinary Conference, CONTEXT 2011, Proceedings",

note = "7th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2011 ; Conference date: 26-09-2011 Through 30-09-2011",

}

Zhou, E, Wu, B, Wu, J & Ding, Y 2011, An architecture and a prototype for querying and visualising recorded context information. in Modeling and Using Context - 7th International and Interdisciplinary Conference, CONTEXT 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6967 LNAI, pp. 321-334, 7th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2011, Karlsruhe, Germany, 26/09/11. https://doi.org/10.1007/978-3-642-24279-3_34

An architecture and a prototype for querying and visualising recorded context information. / Zhou, Erqiang; Wu, Bing; Wu, Jianfeng et al.
Modeling and Using Context - 7th International and Interdisciplinary Conference, CONTEXT 2011, Proceedings. 2011. p. 321-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6967 LNAI).

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

TY - GEN

T1 - An architecture and a prototype for querying and visualising recorded context information

AU - Zhou, Erqiang

AU - Wu, Bing

AU - Wu, Jianfeng

AU - Ding, Yi

PY - 2011

Y1 - 2011

N2 - This paper presents an architecture and a prototype for querying and visualising context information. The COINS modelling approach is employed to define and record the target information and its context information of an application domain. Two querying methods are provided for retrieving the recorded information: 1) natural language query which targets at physical context information and; 2) visual query environment which aims at logical context information. A knowledge representation model, master dictionary, is employed to facilitate the analyses of natural language queries. A prototype system based on the puzzle game Sudoku is used to illustrate the visual querying method, which integrates a replaying mechanism for the recorded context information.

AB - This paper presents an architecture and a prototype for querying and visualising context information. The COINS modelling approach is employed to define and record the target information and its context information of an application domain. Two querying methods are provided for retrieving the recorded information: 1) natural language query which targets at physical context information and; 2) visual query environment which aims at logical context information. A knowledge representation model, master dictionary, is employed to facilitate the analyses of natural language queries. A prototype system based on the puzzle game Sudoku is used to illustrate the visual querying method, which integrates a replaying mechanism for the recorded context information.

UR - https://www.scopus.com/pages/publications/80053611224

U2 - 10.1007/978-3-642-24279-3_34

DO - 10.1007/978-3-642-24279-3_34

M3 - Conference contribution

AN - SCOPUS:80053611224

SN - 9783642242786

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 321

EP - 334

BT - Modeling and Using Context - 7th International and Interdisciplinary Conference, CONTEXT 2011, Proceedings

T2 - 7th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2011

Y2 - 26 September 2011 through 30 September 2011

ER -

Zhou E, Wu B, Wu J, Ding Y. An architecture and a prototype for querying and visualising recorded context information. In Modeling and Using Context - 7th International and Interdisciplinary Conference, CONTEXT 2011, Proceedings. 2011. p. 321-334. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-24279-3_34

An architecture and a prototype for querying and visualising recorded context information

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this