Article

Semantic analytics on social networks: experiences in addressing the problem of conflict of interest detection

Authors:

Boanerges Aleman-Meza,

Meenakshi Nagarajan,

Cartic Ramakrishnan,

I. Budak Arpinar,

Tim FininAuthors Info & Claims

WWW '06: Proceedings of the 15th international conference on World Wide Web

Pages 407 - 416

https://doi.org/10.1145/1135777.1135838

Published: 23 May 2006 Publication History

Abstract

In this paper, we describe a Semantic Web application that detects Conflict of Interest (COI) relationships among potential reviewers and authors of scientific papers. This application discovers various 'semantic associations' between the reviewers and authors in a populated ontology to determine a degree of Conflict of Interest. This ontology was created by integrating entities and relationships from two social networks, namely "knows," from a FOAF (Friend-of-a-Friend) social network and "co-author," from the underlying co-authorship network of the DBLP bibliography. We describe our experiences developing this application in the context of a class of Semantic Web applications, which have important research and engineering challenges in common. In addition, we present an evaluation of our approach for real-life COI detection.

References

[1]

Adamic, L.A., Buyukkokten, O. and Adar, E. A Social Network Caught in the Web. First Monday, 8 (6).

[2]

Aleman-Meza, B., Halaschek-Wiener, C., Arpinar, I.B., Ramakrishnan, C. and Sheth, A.P. Ranking Complex Relationships on the Semantic Web. IEEE Internet Computing, 9 (3). 37--44.

Digital Library

[3]

Anderson, R. and Khattak, A., The Use of Information Retrieval Techniques for Intrusion Detection. In First International Workshop on Recent Advances in Intrusion Detection, (Louvain-la-Neuve, Berlin, 1998).

[4]

Anyanwu, K. and Sheth, A.P., ⊇-Queries: Enabling Querying for Semantic Associations on the Semantic Web. In Twelfth International World Wide Web Conference, (Budapest, Hungary, 2003), 690--699.

Digital Library

[5]

Barabási, A.-L. Linked - The New Science of Networks. Perseus Publishing, Cambridge, MA, 2002.

[6]

Bergamaschi, S., Castano, S. and Vincini, M. Semantic Integration of Semistructured and Structured Data Sources. SIGMOD Record, 28 (1). 54--59.

Digital Library

[7]

Berkowitz, S.D. An Introduction to Structural Analysis: The Network Approach to Social Research. Butterworth, Toronto, 1982.

[8]

Chen, C. Visualising Semantic Spaces and Author Co-Citation Networks in Digital Libraries. Information Processing Management, 35 (3). 401--420.

Digital Library

[9]

Chen, C. and Carr, L., Trailblazing the Literature of Hypertext: Author Co-citation Analysis (1989 - 1998). In Tenth ACM Conference on Hypertext and Hypermedia : Returning to Our Diverse Roots, (Darmstadt, Germany, 1999), ACM Press, 51--60.

Digital Library

[10]

Crescenzi, V., Mecca, G. and Merialdo, P., RoadRunner: Towards Automatic Data Extraction from Large Web Sites. In Proceedings of the 27th International Conference on Very Large Data Bases, (Rome, Italy, 2001), Morgan Kaufmann Publishers Inc.

Digital Library

[11]

Dill, S., Eiron, N., Gibson, D., Gruhl, D., Guha, R.V., Jhingran, A., Kanungo, T., Rajagopalan, S., Tomkins, A., Tomlin, J.A. and Zien, J.Y., SemTag and Seeker: Bootstrapping the semantic web via automated semantic annotation. In Twelfth International World Wide Web Conference, (Budapest, Hungary, 2003), 178--186.

Digital Library

[12]

Ding, L., Finin, T., Joshi, A., Pan, R., Cost, R.S., Peng, Y., Reddivari, P., Doshi, V. and Sachs, J., Swoogle: A Search and Metadata Engine for the Semantic Web. In International Conference on Information and Knowledge Management, (Washington, DC, USA, 2004).

Digital Library

[13]

Ding, L., Finin, T., Zou, L. and Joshi, A. Social Networking on the Semantic Web. The Learning Organization, 5 (12).

[14]

Dong, X., Halevy, A. and Madhavan, J., Reference Reconciliation in Complex Information Spaces. In ACM SIGMOD Conference, (Baltimore, Maryland, 2005).

Digital Library

[15]

Garton, L., Haythornthwaite, C. and Wellman, B. Studying Online Social Networks. Journal of Computer-Mediated Communication, 3 (1).

[16]

Guha, R., McCool, R. and Miller, E., Semantic Search. In Twelfth International World Wide Web Conference, (Budapest, Hungary, 2003).

Digital Library

[17]

Hammond, B., Sheth, A. and Kochut, K. Semantic Enhancement Engine: A Modular Document Enhancement Platform for Semantic Applications over Heterogeneous Content. In Kashyap, V. and Shklar, L. eds. Real World Semantic Web Applications, Ios Press Inc, 2002, 29--49.

[18]

Hollywood, J., Snyder, D., McKay, K.N. and Boon, J.E. Out of the Ordinary: Finding Hidden Threats by Analyzing Unusual Behavior. RAND Corporation, 2004.

[19]

Horrocks, I. and Tessaris, S., Querying the Semantic Web: A Formal Approach. In The First International Semantic Web Conference, (Sardinia, Italy, 2002).

Digital Library

[20]

Janik, M. and Kochut, K., BRAHMS: A WorkBench RDF Store and High Performance Memory System for Semantic Association Discovery. In Fourth International Semantic Web Conference, (Galway, Ireland, 2005).

Digital Library

[21]

Karvounarakis, G., Alexaki, S., Christophides, V., Plexousakis, D. and Scholl, M., RQL: A Declarative Query Language for RDF. In The Eleventh International World Wide Web Conference, (Honolulu, Hawaii, USA, 2002), ACM, 592--603.

Digital Library

[22]

Kempe, D., Kleinberg, J.M. and Tardos, É., Maximizing the spread of influence through a social network. In Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (2003), 137--146.

Digital Library

[23]

Laender, A.H.F., Ribeiro-Neto, B.A., da Silva, A.S. and Teixeira, J.S. A brief survey of web data extraction tools. SIGMOD Record, 31 (2). 84--93.

Digital Library

[24]

Laz, T., Fisher, K., Kostich, M. and Atkinson, M. Connecting the dots. Modern Drug Discovery, 2004, 33--36.

[25]

Lee, Y.L. Apps Make Semantic Web a Reality. SD Times, 2005.

[26]

Miller, E., The Semantic Web is Here. In Keynote at the Semantic Technology Conference 2005, (San Francisco, California, USA, 2005).

[27]

Nascimento, M.A., Sander, J. and Pound, J. Analysis of SIGMOD's CoAuthorship Graph. SIGMOD Record, 32 (3).

Digital Library

[28]

Newman, M.E.J. The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98 (2). 404--409.

[29]

Papagelis, M., Plexousakis, D. and Nikolaou, P.N., CONFIOUS: Managing the Electronic Submission and Reviewing Process of Scientific Conferences. In The Sixth International Conference on Web Information Systems Engineering, (New York, NY, USA, 2005).

Digital Library

[30]

Ramakrishnan, C., Milnor, W.H., Perry, M. and Sheth, A.P. Discovering Informative Connection Subgraphs in Multi-relational Graphs. SIGKDD Explorations, 7 (2). 56--63.

Digital Library

[31]

safeMinds.org. Something Is Rotten In Denmark, 2004.

[32]

Sheth, A.P., Enterprise Applications of Semantic Web: The Sweet Spot of Risk and Compliance. In IFIP International Conference on Industrial Applications of Semantic Web, (Jyväskylä, Finland, 2005).

[33]

Sheth, A.P., From Semantic Search & Integration to Analytics. In Dagstuhl Seminar: Semantic Interoperability and Integration, (IBFI, Schloss Dagstuhl, Germany, 2005).

[34]

Sheth, A.P., Aleman-Meza, B., Arpinar, I.B., Halaschek, C., Ramakrishnan, C., Bertram, C., Warke, Y., Avant, D., Arpinar, F.S., Anyanwu, K. and Kochut, K. Semantic Association Identification and Knowledge Discovery for National Security Applications. Journal of Database Management, 16 (1). 33--53.

[35]

Sheth, A.P., Bertram, C., Avant, D., Hammond, B., Kochut, K. and Warke, Y. Managing semantic content for the Web. IEEE Internet Computing, 6 (4). 80--87.

Digital Library

[36]

Smeaton, A.F., Keogh, G., Gurrin, C., McDonald, K. and Sodring, T. Analysis of Papers from Twenty-Five years of SIGIR Conferences: What Have We Been Doing for the Last Quarter of a Century. SIGIR Forum, 36 (2).

Digital Library

[37]

Townley, J. The Streaming Search Engine That Reads Your Mind Streaming Media World, 2000.

[38]

Wasserman, S. and Faust, K. Social network analysis: Methods and applications. Cambridge University Press., Cambridge, 1994.

[39]

Wellman, B. Structural analysis: From method and metaphor to theory and substance. In Wellman, B. and Berkowitz, S.D. eds. Social structures: A network approach, Cambridge University Press, Cambridge, 1988, 19--61.

[40]

Xu, J. and Chen, H., Untangling Criminal Networks: A Case Study. In Intelligence and Security Informatics, First NSF/NIJ Symposium, (2003), 232--248.

Digital Library

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https://doi.org/10.1155/2022/2524491
Wang GPeng QZhang YZhang M(2022)What have we learned from OpenReview?World Wide Web10.1007/s11280-022-01109-z26:2(683-708)Online publication date: 9-Nov-2022
https://doi.org/10.1007/s11280-022-01109-z
Cagliero LGarza PPasini ABaralis E(2021)Additional Reviewer Assignment by Means of Weighted Association RulesIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2018.28612149:1(329-341)Online publication date: 1-Jan-2021
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Index Terms

Semantic analytics on social networks: experiences in addressing the problem of conflict of interest detection
1. Information systems
  1. Information storage systems
    1. Storage architectures
      1. Storage network architectures
  2. Information systems applications

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Published In

cover image ACM Conferences

WWW '06: Proceedings of the 15th international conference on World Wide Web

May 2006

1102 pages

ISBN:1595933239

DOI:10.1145/1135777

General Chairs:
Leslie Carr
University of Southampton
,
David De Roure
University of Southampton
,
Arun Iyengar
IBM Research
,
Program Chairs:
Carole Goble
University of Manchester, UK
,
Mike Dahlin
University of Texas at Austin

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 23 May 2006

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May 23 - 26, 2006

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Cited By

Ullah MShahid ADin IRoman MAssam MFayaz MGhadi YAljuaid H(2022)Analyzing Interdisciplinary Research Using Co-Authorship NetworksComplexity10.1155/2022/25244912022(1-13)Online publication date: 28-Apr-2022
https://doi.org/10.1155/2022/2524491
Wang GPeng QZhang YZhang M(2022)What have we learned from OpenReview?World Wide Web10.1007/s11280-022-01109-z26:2(683-708)Online publication date: 9-Nov-2022
https://doi.org/10.1007/s11280-022-01109-z
Cagliero LGarza PPasini ABaralis E(2021)Additional Reviewer Assignment by Means of Weighted Association RulesIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2018.28612149:1(329-341)Online publication date: 1-Jan-2021
https://doi.org/10.1109/TETC.2018.2861214
MÜNGEN ABULUT BKAYA M(2020)Çoklu Sosyal Ağlarda Aynı Kullanıcıları Belirleme YöntemiDÜMF Mühendislik Dergisi10.24012/dumf.761949Online publication date: 13-Jul-2020
https://doi.org/10.24012/dumf.761949
Albane SSlimani HKheddouci H(2020)A graph grammar and $$K_{4}$$-type tournament-based approach to detect conflicts of interest in a social networkKnowledge and Information Systems10.1007/s10115-020-01525-5Online publication date: 7-Nov-2020
https://doi.org/10.1007/s10115-020-01525-5
Al-Jarrah HAl-Asa'd MAl-Zboon STawalbeh SHammad MAL-Smadi M(2019)Resolving Conflict of Interests and Recommending Expert Reviewers for Academic Publications Using Linked Open Data2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS)10.1109/SNAMS.2019.8931826(91-98)Online publication date: Oct-2019
https://doi.org/10.1109/SNAMS.2019.8931826
Albane SSlimani HKheddouci H(2019)Detection of Conflicts of Interest in Social NetworksComplex Networks and Their Applications VIII10.1007/978-3-030-36683-4_15(179-190)Online publication date: 25-Nov-2019
https://doi.org/10.1007/978-3-030-36683-4_15
Wu SU. LBhowmick SGatterbauer WDas GJermaine CBernstein P(2018)PISTISProceedings of the 2018 International Conference on Management of Data10.1145/3183713.3193552(1713-1716)Online publication date: 27-May-2018
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Altinbasak-Farina IBicer B(2018)Social Responsibility Reputation of Brands: A Strategic ApproachSustainability and Social Responsibility of Accountability Reporting Systems10.1007/978-981-10-3212-7_13(219-228)Online publication date: 2-Mar-2018
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Wu SU LBhowmick SGatterbauer WLim EWinslett MSanderson MFu ASun JCulpepper SLo EHo JDonato DAgrawal RZheng YCastillo CSun ATseng VLi C(2017)Conflict of Interest Declaration and Detection System in Heterogeneous NetworksProceedings of the 2017 ACM on Conference on Information and Knowledge Management10.1145/3132847.3133134(2383-2386)Online publication date: 6-Nov-2017
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