Cited By
View all- Ruan TXue LWang HHu FZhao LDing J(2016)Building and Exploring an Enterprise Knowledge Graph for Investment AnalysisThe Semantic Web – ISWC 201610.1007/978-3-319-46547-0_35(418-436)Online publication date: 17-Oct-2016
Mining and analyzing the enterprise knowledge graph
Author: 
Ido GuyAuthors Info & Claims
Ido GuyAuthors Info & ClaimsPages 497 - 498
Abstract
Today's enterprises hold ever-growing amounts of public data, stemming from different organizational systems, such as development environments, CRM systems, business intelligence systems, and enterprise social media. This data unlocks rich and diverse information about entities, people, terms, and the relationships among them. A lot of insight can be gained through analyzing this knowledge graph, both by individual employees and by the organization as a whole. In this talk, I will review recent work done by the Social Technologies & Analytics group at IBM Research-Haifa to mine these relationships, represent them in a generalized model, and use the model for different aims within the enterprise, including social search [5], expertise location [1], social recommendation [2, 3], and network analysis [4].
References
[1]
Guy, I., Avraham, U., Carmel, D., Ur, S., Jacovi, M., & Ronen, I. 2013. Mining expertise and interests from social media. Proc. WWW '13.
[2]
Guy, I., Ronen, I., & Wilcox, E. 2009. Do you know?: recommending people to invite into your social network. Proc. IUI '09, 77--86.
[3]
Guy, I., Zwerdling, N., Ronen, I., Carmel, D., and Uziel, E. 2010. Social media recommendation based on people and tags. Proc. SIGIR '10, 194--201.
[4]
Perer, A., Guy, I., Uziel, E., Ronen, I., Jacovi, M. Visual social network analytics for relationship discovery in the enterprise. Proc. VAST '11, 71--79.
[5]
Ronen, I., Shahar, E., Ur, S., Uziel, E., Yogev, S., Zwerdling, N., Carmel, D., Guy, I., Har'el, N., & Ofek-Koifman, S. 2009. Social networks and discovery in the enterprise (SaND). Proc. SIGIR '09, 836.
Index Terms
- Mining and analyzing the enterprise knowledge graph
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Information & Contributors
Information
Published In
May 2013
1636 pages
ISBN:9781450320382
DOI:10.1145/2487788
- General Chairs:
- Daniel Schwabe,
- Virgílio Almeida,
- Hartmut Glaser,
- Program Chairs:
- Ricardo Baeza-Yates,
- Sue Moon
Copyright © 2013 Copyright is held by the owner/author(s).
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
- NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
- CGIBR: Comite Gestor da Internet no Brazil
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Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 May 2013
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WWW '13
Sponsor:
- NICBR
- CGIBR
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WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;
Overall Acceptance Rate 1,899 of 8,196 submissions, 23%
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Cited By
View all- Ruan TXue LWang HHu FZhao LDing J(2016)Building and Exploring an Enterprise Knowledge Graph for Investment AnalysisThe Semantic Web – ISWC 201610.1007/978-3-319-46547-0_35(418-436)Online publication date: 17-Oct-2016
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