This study aims to identify and analyse the characteristics of highly cited articles published in the Information Science and Library Science category in the Social Science Citation Index. Articles that have been cited at least 100 times since publication up to the end of 2012 were analysed. We identified 501 highly cited articles published between 1956 and 2009 in 37 journals. MIS Quarterly published 26% of all analysed highly cited articles. The most productive researcher published 11 articles. Six bibliometric indicators were used to evaluate source institutions and countries. The 13 most productive institutions were all located in the USA and Canada. Harvard University in the USA was the most productive institution, ranked number one in the total number of highly cited articles, while the University of Maryland in the USA had the highest publication performance of first and corresponding author articles. Researchers from the USA contributed 67% of highly cited articles.
Service-Oriented Computing is an approach to creating applications where different loosely-coupled software services are composed in order to accomplish a goal that is more complex than what the constituent services can do. The composition is performed in a platform-independent manner (component services are executed in heterogeneous, usually non-local environments and accessed through a standardized interface) and is usually a long-running process which spans across organizations and administrative boundaries. In turn, these combinations are usually exposed as services themselves.Service combinations are usually divided into orchestrations and choreographies. In the former case there is a single agent which controls the individual services and routes the data between them. In the latter, data movements and control are not centralized. In this talk we will focus on service orchestrations.A critical point for the usability of service compositions is the Quality-ofService (QoS) they offer. Execution time, availability, or monetary cost are some usual metrics. The acceptable values for QoS attributes in a business relation are usually defined in Service Level Agreements (SLAs), along with the penalties in case they are violated.We present and evaluate a method whereby, using techniques from constraint logic programming, we derive, at a given point of execution of a service composition, a set of constraints that predict SLA conformance and violation scenarios over a certain time horizon. This is done on the basis of the structure of the composition and known or empirically measured properties of the component services. SLA failure and conformance constraints are expressed symbolically and may be used by other components for, e.g., development of data-mining models, optimized service matching, or triggering preventive adaptation or healing. Additional precision can be obtained within the same analysis framework by inspecting the state of the composition at the point of prediction.
Purpose -The purpose of this research is to observe all data from the Common European Research Information Format (CERIF) data model that can be described using bibliographic standards and move those data to a data model of bibliographic standard. Design/methodology/approach -Analysis of the CERIF data model and the MARC 21 format has shown that some elements of the CERIF data model could be mapped to the MARC 21 bibliographic record. A CERIF compatible data model based on the MARC 21 format is proposed. The data model was created using PowerDesigner CASE tool. The proposed data model is represented using a physical data model in the conceptual notation that is adopted in the literature for representing the CERIF data model. Findings -A CERIF compatible data model based on the MARC 21 format is proposed. The proposed model contains all the data from the CERIF2008 data model. The central part of the proposed model is MARC 21 data model that is used as a replacement for 27 entities of the CERIF data model, including all their attributes as well as part of the attributes in entities related to organisational unit. The mappings between attributes of entities of the CERIF data model and the data model of the MARC 21 format are described.Research limitations/implications -The CERIF compatible data model based on the MARC 21 format does not support all restrictions on data types, which are defined by the CERIF data model. This means that such restrictions have to be controlled by software. Practical implications -The central part of the proposed CERIF compatible data model is a data model of MARC 21 format. It means that most of the data are modelled according to bibliographic standard, which is very widespread worldwide. This implies that the proposed CERIF model can be easily implemented within the existing library infrastructure. In addition, the proposed model can be used for other purposes, such as the evaluation of scientific research results, generating bibliographies of researchers, and institutions, the citations etc. A research management system based on the proposed model is implemented. Also, this system is verified and tested on data about published results of researchers employed at University of Novi Sad, Serbia. Originality/value -A new data model compatible with the CERIF data model is proposed. The basic idea is to map part of the CERIF data model related to published results of scientific research to some well-known bibliographic standard. It was shown that this part of the data model could be mapped to the MARC 21 data model. It can be mapped to data models of any other MARC standards in a similar way.
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