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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  1/2008 - 7

Client Provider Collaboration for Service Bundling

LETIA, I. A. See more information about LETIA, I. A. on SCOPUS See more information about LETIA, I. A. on IEEExplore See more information about LETIA, I. A. on Web of Science, MARGINEAN, A. See more information about MARGINEAN, A. on SCOPUS See more information about MARGINEAN, A. on SCOPUS See more information about MARGINEAN, A. on Web of Science
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (377 KB) | Citation | Downloads: 642 | Views: 3,618

Author keywords
argumentation over preferences, customer needs, service configuration, service offering, web services

References keywords
services(7), agents(7), systems(6), reasoning(6), logic(5), argumentation(5), service(4), multiagent(4), autonomous(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2008-04-02
Volume 8, Issue 1, Year 2008, On page(s): 36 - 43
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2008.01007
Web of Science Accession Number: 000259903500007
SCOPUS ID: 77955601654

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The key requirement for a service industry organization to reach competitive advantages through product diversification is the existence of a well defined method for building service bundles. Based on the idea that the quality of a service or its value is given by the difference between expectations and perceptions, we draw the main components of a frame that aims to support the client and the provider agent in an active collaboration meant to co-create service bundles. Following e3-value model, we structure the supporting knowledge around the relation between needs and satisfying services. We deal with different perspectives about quality through an ontological extension of Value Based Argumentation. The dialog between the client and the provider takes the form of a persuasion whose dynamic object is the current best configuration. Our approach for building service packages is a demand driven approach, allowing progressive disclosure of private knowledge.

References | Cited By  «-- Click to see who has cited this paper

[1] H. Akkermans, Z. Baida, J. Gordijn, N. Pena, I. Laresgoiti, A. Altuna: "Value webs: Ontology-based bundling of real-world services". IEEE Intelligent Systems 19, 2004.
[CrossRef] [Web of Science Times Cited 54] [SCOPUS Times Cited 98]

[2] Z. Baida, J. Gordijn, H. Akkermans, H. Saele, A. Morch: "Finding eservice offerings by computer-supported customer needs reasoning". International Journal of E-Business Research 1, 2005.
[CrossRef] [SCOPUS Times Cited 14]

[3] T. Bench-Capon, S. Doutre, P. Dunne: "Audiences in argumentation frameworks". Artificial Intelligence 171, 2007.
[CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 66]

[4] A. Bondarenko, F. Toni, R. A. Kowalski: "An Assumption-Based Framework for Non-Monotonic Reasoning". Logic Programming and Non-monotonic Reasoning, Proceedings of the Second International Workshop, Portugal, 1993

[5] C. Chesnevar, J. Mcginnis, S. Modgil, I. Rahwan, C. Reed, G. S. Simari, M. Vreeswijk, G. Willmott: "Towards an argument interchange format". Knowledge engineering review, 21(4), 2006
[CrossRef] [Web of Science Times Cited 113] [SCOPUS Times Cited 171]

[6] S. Doutre, P. McBurney, L. Perroussel, J.M. Thevenin: "Arguing for gaining access to information". 6th International Joint Conference on Autonomous Agents and Multiagent Systems, USA, 2007
[CrossRef] [SCOPUS Times Cited 1]

[7] P. M. Dung. "On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games". Artificial Intelligence, 77(2), 1995.
[CrossRef] [Web of Science Times Cited 1558] [SCOPUS Times Cited 2337]

[8] G. Governatori, M. Maher, D. Billington, G. Antoniou: "Argumentation semantics for defeasible logics". Journal of Logic and Computation,, 14(5), 2004
[CrossRef] [Web of Science Times Cited 113] [SCOPUS Times Cited 154]

[9] D. Greenwood, M. Lyell, A. Mallya, H. Suguri: "The IEEE FIPA approach to integrating software agents and web services". 6th International Joint Conference on Autonomous Agents and Multiagent Systems, USA, 2007.
[CrossRef] [SCOPUS Times Cited 32]

[10] R. Lin, S. Kraus, J. Wilkenfeld, J. Barry: "An automated agent for bilateral negotiation with bounded rational agents with incomplete information". 17th European Conference on Artificial Intelligence, Italy, 2006.

[11] S. Lamparter, A. Ankolekar, R. Studer, S. Grimm: "Preference-based selection of highly configurable web services". 16th International World Wide Web Conference, Canada, 2007.
[CrossRef] [SCOPUS Times Cited 119]

[12] A. Malucelli, D. Palzer, E. Oliveira: "Ontology-based services to help solving the heterogeneity problem in e-commerce negotiations". Electronic Commerce Research and Applications, 5, 2006.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 48]

[13] L. Perrussel, S. Doutre, J. Thevenin, P. McBurney: "A persuasion dialog for gaining access to information", International Workshop on Argumentation in Multi-Agent Systems, USA, 2007.

[14] A. Rahwan: "An Argumentation based approach for practical reasoning". 5th International Joint Conference on Autonomous Agents and Multiagent Systems, Japan, 2006.
[CrossRef] [SCOPUS Times Cited 66]

[15] T. Skylogiannis, G. Antoniou, N. Bassiliades, G. Governatori, A. Bikakis: "DR-NEGOTIATE - A system for automated agent negotiation with defeasible logic-based strategies". Data and Knowledge Engineering, 63(2), 2007.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 35]

[16] C. Sierra, J. Debenham: "The LOGIC negotiatin model". 6th International Joint Conference on Autonomous Agents and Multiagent Systems, USA, 2007.
[CrossRef] [SCOPUS Times Cited 28]

[17] S. Stein, T. Payne, N. Jennings: "An effective strategy for the flexible provisioning of service workflows", Huang, J., Kowalczyk, R., Maamar, Z., Martin, D., Mueller, I., Stoutenberg, S., Sycara, K., eds.: Service Oriented Computing: Agents, Semantics and Engineering. LNCS 4504. Springer-Verlag, 2007.

[18] V. Tosic, B. Pagurek, K. Patel: "WSOL - A Language for the Formal Specification of Classes of Service for Web Services", International Conference on Web Services, USA, 2003

[19] A. Z. Wyner, T. J. M. Bench-Capon: "Towards an Extensible Argumentation System". Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 9th European Conference, Tunisia, 2007.

[20] M. Aiello, F. Rosenberg, C. Platzer, A. Ciabattoni, S. Dustdar: "Service QoS composition at the level of part names", Bravetti, M., Nunes, M., Zavattaro, G., eds.: Web Services and Formal Methods. LNCS 4184. Springer-Verlag, 2006

References Weight

Web of Science® Citations for all references: 1,948 TCR
SCOPUS® Citations for all references: 3,169 TCR

Web of Science® Average Citations per reference: 97 ACR
SCOPUS® Average Citations per reference: 158 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2019-02-11 08:08 in 114 seconds.

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