ExpertFOAF recommends experts

Tereza Iofcu, Joerg Diederich, Peter Dolog, Wolf-Tilo Balke

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

FOAF files are often used for publishing simple information about persons and about their community. Our proposal is to extend the user's FOAF files with automatically generated user profiles, which are based on a histogram of the user's interest and which are also semantically enriched using the GrowBag approach [1]. The main assumption is that such user profiles can provide good hints about users' expertise. Such extended FOAF files (called ExpertFOAF) can be published on a user's home page, on web pages of institutions or conferences to characterize them. They can be crawled by distributed recommender systems for finding users with similar interests and, hence, expertise in different domains. We consider a well-defined user profile to express best the user's current interests in a domain, where the domain (such as the research environment with students and professors) is defined by a collection of tagged objects (e.g., publications and deliverables tagged with keywords).

Original languageEnglish
Title of host publicationProceedings of EFW'2007
Number of pages3
Publication date2007
Publication statusPublished - 2007
EventEFW'2007: First International ExpertFinder Workshop: - Berlin, Germany
Duration: 16 Jan 200716 Jan 2007

Conference

ConferenceEFW'2007: First International ExpertFinder Workshop:
CountryGermany
CityBerlin
Period16/01/200716/01/2007

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Iofcu, T., Diederich, J., Dolog, P., & Balke, W-T. (2007). ExpertFOAF recommends experts. In Proceedings of EFW'2007
Iofcu, Tereza ; Diederich, Joerg ; Dolog, Peter ; Balke, Wolf-Tilo. / ExpertFOAF recommends experts. Proceedings of EFW'2007. 2007.
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abstract = "FOAF files are often used for publishing simple information about persons and about their community. Our proposal is to extend the user's FOAF files with automatically generated user profiles, which are based on a histogram of the user's interest and which are also semantically enriched using the GrowBag approach [1]. The main assumption is that such user profiles can provide good hints about users' expertise. Such extended FOAF files (called ExpertFOAF) can be published on a user's home page, on web pages of institutions or conferences to characterize them. They can be crawled by distributed recommender systems for finding users with similar interests and, hence, expertise in different domains. We consider a well-defined user profile to express best the user's current interests in a domain, where the domain (such as the research environment with students and professors) is defined by a collection of tagged objects (e.g., publications and deliverables tagged with keywords).",
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Iofcu, T, Diederich, J, Dolog, P & Balke, W-T 2007, ExpertFOAF recommends experts. in Proceedings of EFW'2007. EFW'2007: First International ExpertFinder Workshop:, Berlin, Germany, 16/01/2007.

ExpertFOAF recommends experts. / Iofcu, Tereza; Diederich, Joerg; Dolog, Peter; Balke, Wolf-Tilo.

Proceedings of EFW'2007. 2007.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - ExpertFOAF recommends experts

AU - Iofcu, Tereza

AU - Diederich, Joerg

AU - Dolog, Peter

AU - Balke, Wolf-Tilo

N1 - Proceedings findes på: http://lsdis.cs.uga.edu/~aleman/efw2007/items/

PY - 2007

Y1 - 2007

N2 - FOAF files are often used for publishing simple information about persons and about their community. Our proposal is to extend the user's FOAF files with automatically generated user profiles, which are based on a histogram of the user's interest and which are also semantically enriched using the GrowBag approach [1]. The main assumption is that such user profiles can provide good hints about users' expertise. Such extended FOAF files (called ExpertFOAF) can be published on a user's home page, on web pages of institutions or conferences to characterize them. They can be crawled by distributed recommender systems for finding users with similar interests and, hence, expertise in different domains. We consider a well-defined user profile to express best the user's current interests in a domain, where the domain (such as the research environment with students and professors) is defined by a collection of tagged objects (e.g., publications and deliverables tagged with keywords).

AB - FOAF files are often used for publishing simple information about persons and about their community. Our proposal is to extend the user's FOAF files with automatically generated user profiles, which are based on a histogram of the user's interest and which are also semantically enriched using the GrowBag approach [1]. The main assumption is that such user profiles can provide good hints about users' expertise. Such extended FOAF files (called ExpertFOAF) can be published on a user's home page, on web pages of institutions or conferences to characterize them. They can be crawled by distributed recommender systems for finding users with similar interests and, hence, expertise in different domains. We consider a well-defined user profile to express best the user's current interests in a domain, where the domain (such as the research environment with students and professors) is defined by a collection of tagged objects (e.g., publications and deliverables tagged with keywords).

M3 - Article in proceeding

BT - Proceedings of EFW'2007

ER -

Iofcu T, Diederich J, Dolog P, Balke W-T. ExpertFOAF recommends experts. In Proceedings of EFW'2007. 2007