Change Mining in Adaptive Process Management Systems

The wide-spread adoption of process-aware information systems has resulted in a bulk of computerized information about real-world processes. This data can be utilized for process performance analysis as well as for process improvement. In this context process mining offers promising perspectives. So far, existing mining techniques have been applied to operational processes, i.e., knowledge is extracted from execution logs (process discovery), or execution logs are compared with some a-priori process model (conformance checking). However, execution logs only constitute one kind of data gathered during process enactment. In particular, adaptive processes provide additional information about process changes (e.g., ad-hoc changes of single process instances) which can be used to enable organizational learning. In this paper we present an approach for mining change logs in adaptive process management systems. The change process discovered through process mining provides an aggregated overview of all changes that happened so far. This, in turn, can serve as basis for all kinds of process improvement actions, e.g., it may trigger process redesign or better control mechanisms

Co-management: A Synthesis of the Lessons Learned from the DFID Fisheries Management Science Programme

For the last eleven years, the UK Department for International Development (DfID) have been funding research projects to support the sustainable management of fisheries resources (both inland and marine) in developing countries through the Fisheries Management Science Programme (FMSP). A number of these projects that have been commissioned in this time have examined fisheries co-management. While these projects have, for the most part, been implemented separately, the FMSP has provided an opportunity to synthesise and draw together some of the information generated by these projects. We feel that there is value in distilling some of the important lessons and describing some of the useful tools and examples and making these available through a single, accessible resource. The wealth of information generated means that it is impossible to cover everything in detail but it is hoped that this synthesis will at least provide an overview of the co-management process together with some useful information relating to implementing co-management in a developing country context and links to the more detailed re-sources available, in particular on information systems for co-managed fisheries, participatory fish stock assessment (ParFish) and adaptive learning that have, in particular, been drawn upon for this synthesis. This synthesis is aimed at anyone interested in fisheries management in a developing country context

Hypermedia Learning Objects System - On the Way to a Semantic Educational Web

While eLearning systems become more and more popular in daily education, available applications lack opportunities to structure, annotate and manage their contents in a high-level fashion. General efforts to improve these deficits are taken by initiatives to define rich meta data sets and a semanticWeb layer. In the present paper we introduce Hylos, an online learning system. Hylos is based on a cellular eLearning Object (ELO) information model encapsulating meta data conforming to the LOM standard. Content management is provisioned on this semantic meta data level and allows for variable, dynamically adaptable access structures. Context aware multifunctional links permit a systematic navigation depending on the learners and didactic needs, thereby exploring the capabilities of the semantic web. Hylos is built upon the more general Multimedia Information Repository (MIR) and the MIR adaptive context linking environment (MIRaCLE), its linking extension. MIR is an open system supporting the standards XML, Corba and JNDI. Hylos benefits from manageable information structures, sophisticated access logic and high-level authoring tools like the ELO editor responsible for the semi-manual creation of meta data and WYSIWYG like content editing.Comment: 11 pages, 7 figure

Proximal business intelligence on the semantic web

This is the post-print version of this article. The official version can be accessed from the link below - Copyright @ 2010 Springer.Ubiquitous information systems (UBIS) extend current Information System thinking to explicitly differentiate technology between devices and software components with relation to people and process. Adapting business data and management information to support specific user actions in context is an ongoing topic of research. Approaches typically focus on providing mechanisms to improve specific information access and transcoding but not on how the information can be accessed in a mobile, dynamic and ad-hoc manner. Although web ontology has been used to facilitate the loading of data warehouses, less research has been carried out on ontology based mobile reporting. This paper explores how business data can be modeled and accessed using the web ontology language and then re-used to provide the invisibility of pervasive access; uncovering more effective architectural models for adaptive information system strategies of this type. This exploratory work is guided in part by a vision of business intelligence that is highly distributed, mobile and fluid, adapting to sensory understanding of the underlying environment in which it operates. A proof-of concept mobile and ambient data access architecture is developed in order to further test the viability of such an approach. The paper concludes with an ontology engineering framework for systems of this type – named UBIS-ONTO

Towards a Role-Based Contextual Database

Traditional modeling approaches and information systems assume static entities that represent all information and attributes at once. However, due to the evolution of information systems to increasingly context-aware and self-adaptive systems, this assumption no longer holds. To cope with the required flexibility, the role concept was introduced. Although researchers have proposed several role modeling approaches, they usually neglect the contextual characteristics of roles and their representation in database management systems. Unfortunately, these systems do not rely on a conceptual model of an information system, rather they model this information by their own means leading to transformation and maintenance overhead. So far, the challenges posed by dynamic complex entities, their first class implementation, and their contextual characteristics lack detailed investigations in the area of database management systems. Hence, this paper, presents an approach that ties a conceptual role-based data model and its database implementation together, to directly represent the information modeled conceptually inside a database management system. In particular, we propose a formal database model to describe roles and their contextual information in compartments. Moreover, to provide a context-dependent role-based database interface, we extend RSQL by compartments. Finally, we introduce RSQL Result Net to preserve the contextual role semantics as well as enable users and applications to both iterate and navigate over results produced by RSQL. In sum, these means allow for a coherent design of more dynamic, complex software systems

Wilderness information systems for education : a proposed management framework.

Thesis (M.Env.Dev.)-University of KwaZulu-Natal, Pietermaritzburg, 2004.South Africa's well-established history of formally protected areas has resulted in it becoming a global leader in resource conservation and a pioneer of new management techniques. Roughly thirty years ago, South Africa became one of the earliest countries in the world to legislatively recognise wilderness. Since the first wilderness areas were designated, use and management issues have become increasingly complex as managers strive to balance the biological and social values of wilderness areas. Consequently, it is imperative that management techniques and strategies evolve to preserve wilderness values and resources in South Africa. Wilderness visitor education and information programs are a critical part of an effective wilderness management strategy. To ensure that wilderness education and information systems are inclusive and able to evolve over time three elements are needed. A management framework must be in place to ensure that a system-wide approach is established and maintained. Once a system-wide framework is established, wilderness education and information systems can be inventoried and monitored against established management goals. This information can then be used to continually refine and improve wilderness information and education systems as they evolve through increased understanding of use and management Issues. Lastly, increased wilderness-specific research and continued testing of current research in the South African context is needed, to ensure that management strategies stay relevant and adaptive. These adaptive management strategies will serve as the foundation for wider coordination of wilderness management and research at the provincial and national levels, further developing South Africa's leadership role in protected area management in Africa and the global community

INTELLIGENT AND ADAPTIVE FUZZY CONTROL SYSTEM FOR ENERGY EFFICIENT HOMES

“Smart houses” have widely established their position as a research field during the last decade. Nowadays the technical solutions related to energy resource management are being rapidly developed and integrated into the daily lives of people. The energy resource management systems use sensor networks for receiving and processing information during the realia time. Smart house adaptive and intelligent solutions has advanced towards common environment, which can take care of the inhabitants’ well-being in numerous ways. This paper propose to use a context sensitive and proactive fuzzy control system for controlling the automation processes in smart house environment. The designed monitoring system has adaptive and intelligent options, and it can operate using real time information received from sensors. The system is designed to operate fully in the background and can be installed to any exiting working system. This paper describes a central heating boiler control system implemented using the fuzzy control system designed. Author concentrates on the basic operation of such systems and present findings from the design process and initial tests

Appropriation of privacy management within social networking sites

Social networking sites have emerged as one of the most widely used types of interactive systems, with memberships numbering in the hundreds of millions around the globe. By providing tools for their members to manage an ever-changing set of relationships, social networking sites push a constant expansion of social boundaries. These sites place less emphasis on tools that limit social boundaries to enable privacy. The rapid expansion of online social boundaries has caused privacy shockwaves. Privacy offline is enabled by constraints of time and space. Online, powerful search engines and long term digital storage means private data have no expiration date. Within an online culture of anonymity and fluid self-presentation of identity, social networking sites can be turned into places of perceived safety but with privacy risks that actually extend indefinitely. While these sites do deploy privacy management features, it is not understood how people use social networking sites, how they use privacy management features, and how these two are related. In order to create better privacy mechanisms for social software, designers must first understand how members manage their privacy in the current environment. This dissertation introduces The Social Software Performance Model, which describes relevant factors and their interaction in order to explain patterns of privacy management. The Model is a synthesis of Adaptive Structuration Theory, the Fit Appropriation Model and socio-technical systems theory. Adaptive Structuration Theory attempts to explain appropriation, defined as the process by which people integrate technology into their daily tasks and activities. A central premise of this research is that the appropriation perspective is a valuable lens for teasing apart how members of these sites adopt and adapt privacy management features. Using Adaptive Structuration Theory, this dissertation developed and validated new measures that capture appropriation patterns related to privacy management within social networking sites. The research introduces three independent constructs that measure privacy management appropriation. They are the Use appropriation move, which measures actual use of privacy management features; the Familiarity appropriation move, which measure knowledge of privacy management features; and the Restricted Scope appropriation move, which measures the extent to which members independently limit the scope of their online social network to protect their privacy. Survey data was collected from subjects in two different social networking sites, Facebook and MySpace, and used to evaluate hypotheses developed from The Social Software Performance Model. Using a partial least squares analysis, the research model explained 28.5% of the variance with respect to appropriation of privacy management features. This is a strong result for exploratory research. This research makes a contribution by extending theories to a new context, by applying both the Adaptive Structuration Theory and the Fit Appropriation Model to the use of privacy management in social networking sites. Using types and sub-types of appropriation moves from Adaptive Structuration Theory, new measures were developed and validated. These new measures, with further efforts to establish validity and reliability, can be adapted to understand appropriations for other forms of social software. The main finding of the research is a method to evaluate the effectiveness of different implementations of privacy management within social networking sites. While information system theory has been primarily concerned with systems used in an organizational context, the results of this research shows these theories are relevant to new systems based on social interaction. These new types of social software, generically labeled as Web 2.0, are among the most popular on the Internet. Besides Facebook and MySpace, examples of Web 2.0 include the video sharing site YouTube.com, and the photo sharing site Flickr.com. These sites thrive on intensive social interaction, and are growing in scope and importance. There has been little consensus among researchers as to how to measure the effectiveness of Web 2.0 systems. This lack of consensus presents a strategic opportunity for information systems theory, which has made determinations of effectiveness an important focus. This research has adapted information systems theory to study the effectiveness of privacy management. The development of privacy management has proven to be a difficult problem, and a deeper understanding of its effectiveness is expected to improve the overall design of these systems. By adapting information systems theory to the use of privacy management within social networking sites, this research shows that information systems theory can also be used applied to Web 2.0 applications. This provides a foundation for the further development of methods to measure the effectiveness of additional components within social software