Modeling user knowledge from queries: Introducing a metric for knowledge

Frans Van Der Sluis; Egon L. Van Den Broek

doi:10.1007/978-3-642-15470-6_41

Modeling user knowledge from queries: Introducing a metric for knowledge

Frans Van Der Sluis^*, Egon L. Van Den Broek

^*Corresponding author af dette arbejde

Institut for Kommunikation

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

3 Citationer (Scopus)

Abstract

The user's knowledge plays a pivotal role in the usability and experience of any information system. Based on a semantic network and query logs, this paper introduces a metric for users' knowledge on a topic. The finding that people often return to several sets of closely related, well-known, topics, leading to certain concentrated, highly activated areas in the semantic network, forms the core of this metric. Tests were performed determining the knowledgeableness of 32,866 users on in total 8 topics, using a data set of more than 6 million queries. The tests indicate the feasibility and robustness of such a user-centered indicator.

Originalsprog	Engelsk
Titel	Active Media Technology - 6th International Conference, AMT 2010, Proceedings
Antal sider	8
Publikationsdato	2010
Sider	395-402
ISBN (Trykt)	3642154697, 9783642154690
DOI	https://doi.org/10.1007/978-3-642-15470-6_41
Status	Udgivet - 2010
Begivenhed	2010 6th International Conference on Active Media Technology, AMT 2010 - Toronto, ON, Canada Varighed: 28 aug. 2010 → 30 aug. 2010

Konference

Konference	2010 6th International Conference on Active Media Technology, AMT 2010
Land/Område	Canada
By	Toronto, ON
Periode	28/08/2010 → 30/08/2010
Sponsor	York University, University of Regina

Navn	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind	6335 LNCS
ISSN	0302-9743

Adgang til dokumentet

10.1007/978-3-642-15470-6_41

Citationsformater

Van Der Sluis, F., & Van Den Broek, E. L. (2010). Modeling user knowledge from queries: Introducing a metric for knowledge. I Active Media Technology - 6th International Conference, AMT 2010, Proceedings (s. 395-402). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Bind 6335 LNCS https://doi.org/10.1007/978-3-642-15470-6_41

Modeling user knowledge from queries : Introducing a metric for knowledge. / Van Der Sluis, Frans; Van Den Broek, Egon L.

Active Media Technology - 6th International Conference, AMT 2010, Proceedings. 2010. s. 395-402 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 6335 LNCS).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Van Der Sluis, F & Van Den Broek, EL 2010, Modeling user knowledge from queries: Introducing a metric for knowledge. i Active Media Technology - 6th International Conference, AMT 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), bind 6335 LNCS, s. 395-402, 2010 6th International Conference on Active Media Technology, AMT 2010, Toronto, ON, Canada, 28/08/2010. https://doi.org/10.1007/978-3-642-15470-6_41

Van Der Sluis F, Van Den Broek EL. Modeling user knowledge from queries: Introducing a metric for knowledge. I Active Media Technology - 6th International Conference, AMT 2010, Proceedings. 2010. s. 395-402. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 6335 LNCS). https://doi.org/10.1007/978-3-642-15470-6_41

Van Der Sluis, Frans ; Van Den Broek, Egon L. / Modeling user knowledge from queries : Introducing a metric for knowledge. Active Media Technology - 6th International Conference, AMT 2010, Proceedings. 2010. s. 395-402 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 6335 LNCS).

@inproceedings{1ab4e085fa5c45319715d4f835693bfd,

title = "Modeling user knowledge from queries: Introducing a metric for knowledge",

abstract = "The user's knowledge plays a pivotal role in the usability and experience of any information system. Based on a semantic network and query logs, this paper introduces a metric for users' knowledge on a topic. The finding that people often return to several sets of closely related, well-known, topics, leading to certain concentrated, highly activated areas in the semantic network, forms the core of this metric. Tests were performed determining the knowledgeableness of 32,866 users on in total 8 topics, using a data set of more than 6 million queries. The tests indicate the feasibility and robustness of such a user-centered indicator.",

author = "{Van Der Sluis}, Frans and {Van Den Broek}, {Egon L.}",

year = "2010",

doi = "10.1007/978-3-642-15470-6_41",

language = "English",

isbn = "3642154697",

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

publisher = "Springer Verlag",

pages = "395--402",

booktitle = "Active Media Technology - 6th International Conference, AMT 2010, Proceedings",

note = "2010 6th International Conference on Active Media Technology, AMT 2010 ; Conference date: 28-08-2010 Through 30-08-2010",

}

TY - GEN

T1 - Modeling user knowledge from queries

T2 - 2010 6th International Conference on Active Media Technology, AMT 2010

AU - Van Der Sluis, Frans

AU - Van Den Broek, Egon L.

PY - 2010

Y1 - 2010

N2 - The user's knowledge plays a pivotal role in the usability and experience of any information system. Based on a semantic network and query logs, this paper introduces a metric for users' knowledge on a topic. The finding that people often return to several sets of closely related, well-known, topics, leading to certain concentrated, highly activated areas in the semantic network, forms the core of this metric. Tests were performed determining the knowledgeableness of 32,866 users on in total 8 topics, using a data set of more than 6 million queries. The tests indicate the feasibility and robustness of such a user-centered indicator.

AB - The user's knowledge plays a pivotal role in the usability and experience of any information system. Based on a semantic network and query logs, this paper introduces a metric for users' knowledge on a topic. The finding that people often return to several sets of closely related, well-known, topics, leading to certain concentrated, highly activated areas in the semantic network, forms the core of this metric. Tests were performed determining the knowledgeableness of 32,866 users on in total 8 topics, using a data set of more than 6 million queries. The tests indicate the feasibility and robustness of such a user-centered indicator.

UR - http://www.scopus.com/inward/record.url?scp=78649901003&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-15470-6_41

DO - 10.1007/978-3-642-15470-6_41

M3 - Article in proceedings

AN - SCOPUS:78649901003

SN - 3642154697

SN - 9783642154690

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

SP - 395

EP - 402

BT - Active Media Technology - 6th International Conference, AMT 2010, Proceedings

Y2 - 28 August 2010 through 30 August 2010

ER -