BibSonomy publications for /user/flint63/managementFri Dec 16 10:53:19 CET 2011IEEE Intelligent Systems683-89It's a Streaming World! Reasoning upon Rapidly Changing Information242009information knowledge zzz.spm paper recognition data semantic web analysis ieee ai pattern v1010 temporal processing management Data streams occur in modern applications such as sensor network monitoring, traffic engineering, {RFID} tags applications, telecom call recording, medical record management, financial applications, and clickstreams. On the Web, many sites distribute and present information in real-time streams. In many of these application areas, the ability to perform complex reasoning tasks that combine streaming data with evolving knowledge would be of great benefit. Stream reasoning---an unexplored, yet high-impact research area---is a new multidisciplinary approach that will build on the Semantic Web and provide the abstractions, foundations, methods, and tools required to integrate data streams and reasoning systems.Thu Dec 15 14:51:19 CET 2011New YorkRecommender Systems Handbook2011information ai springer adaptive v1010 book assist interaction interface management requirements user The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments. Recommender Systems Handbook, an edited volume, is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. Theoreticians and practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, challenges and applications. Extensive artificial applications, a variety of real-world applications, and detailed case studies are included. Recommender Systems Handbook illustrates how this technology can support the user in decision-making, planning and purchasing processes. It works for well known corporations such as Amazon, Google, Microsoft and AT\&T.Sat Nov 26 19:32:55 CET 2011Boston, MAThe Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems2002information zzz.spm middleware data enterprise architecture rules software v1010 temporal book processing management Complex Event Processing (CEP) is a defined set of tools and techniques for analyzing and controlling the complex series of interrelated events that drive modern distributed information systems. This emerging technology helps IS and IT professionals understand what is happening within the system, quickly identify and solve problems, and more effectively utilize events for enhanced operation, performance, and security. CEP can be applied to a broad spectrum of information system challenges, including business process automation, schedule and control processes, network monitoring and performance prediction, and intrusion detection. The book introduces CEP and shows specifically how this innovative technology can be utilized to enhance the quality of large-scale, distributed enterprise systems. The book describes the challenges faced by today's information systems, explains fundamental CEP concepts, and highlights CEP's role within a complex and evolving contemporary context. After thoroughly introducing the concept, the book moves on to a more detailed, technical explanation of CEP, featuring the Rapide event pattern language, reactive event pattern rules, event pattern constraints, and event processing agents. It offers practical advice on building CEP-based solutions that solve real world IS/IT problems.Fri Sep 30 13:21:30 CEST 2011Informatik-Spektrum#apr#2165-177{Mixed-Media-Interaktion in der kooperativen Wissenschaftspraxis}342011information rfid ai springer adaptive v1010 paper interaction team management embedded publication Kontextadaptive Systeme basieren meistens auf Beschreibungen, denen Objekteigenschaften zugrunde liegen. In der Wissensarbeit unterliegen physisch-reale und digital-virtuelle Artefakten und ihre Beziehungen zueinander st{\"a}ndigen Neuinterpretationen, die in statischen Kontextmodellen nur schwer beschreibbar sind. Wir explorieren in diesem Beitrag die M{\"o}glichkeit, {\"u}ber ein integriertes Management beider Artefaktklassen in einem erweiterten Literaturverwaltungssystem eine Kontextualisierung von Objekten durch die Interaktionen, in denen sie in der Praxis eine Rolle spielen, zu unterst{\"u}tzen.Fri Sep 30 13:08:36 CEST 2011Informatik-Spektrum#aug#4364-376{Prozessmanagementsysteme}342011process software springer v1010 paper tool workflow management Nur ein wenig Flexibilit{\"a}t wird nicht reichen: Die heute angebotenen Prozess- und Workflowmanagementsysteme basieren weitgehend auf der Annahme, dass sich die zu unterst{\"u}tzenden Arbeitsabl{\"a}ufe – inklusive Ausnahmen – komplett vormodellieren lassen. Ein Abweichen vom vorgeplanten Ablauf zur Laufzeit ist, falls {\"u}berhaupt vorgesehen, nur unter sehr starken Einschr{\"a}nkungen m{\"o}glich. F{\"u}r Anwendungsumgebungen, die eine rasche und flexible Reaktion auf nicht vorhergesehene Ausnahmesituationen und Notf{\"a}lle erfordern, sind Systeme dieser Art praktisch jedoch nicht einsetzbar. Der Beitrag beschreibt, welche grundlegenden technologischen Eigenschaften ein Prozessmanagementsystem erf{\"u}llen muss, um den Flexibilit{\"a}tsanforderungen der realen Welt gerecht zu werden.Fri Feb 18 11:15:35 CET 2011IEEE Intelligent Systems462-71{I-Room}: A Virtual Space for Intelligent Interaction252010application knowledge zzz.spm paper interaction team zzz.th.c4 agent workflow embedded ieee ai v1010 3d processing graphics crisis user management The I-Room is a virtual environment intended to support a range of collaborative activities, especially those that involve sense making, deliberation, and decision making.Thu Feb 17 10:56:55 CET 2011Communications of the ACM#jan#136–38Cloud Computing Privacy Concerns on our Doorstep542011application acm v1010 paper secure grid web conference management Privacy and confidentiality issues in cloud-based conference management systems reflect more universal themes.Thu Feb 17 10:56:53 CET 2011Communications of the ACM#dec#1234–36The Long Quest for Universal Information Access532010information multimedia publications acm search v1010 paper management storage Digital object repositories are on the cusp of resolving the long-standing problem of universal information access in the Internet.Thu Feb 17 09:19:12 CET 2011IEEE Internet Computing639-46Overcoming Information Overload in the Enterprise: The Active Approach142010ai ieee knowledge zzz.th tagging v1010 paper semantic enterprise wiki ontology management Knowledge workers are central to an organization's success, yet their information management tools often hamper their productivity. This has major implications for businesses across the globe because their commercial advantage relies on the optimal exploitation of their own enterprise information, the huge volumes of online information, and the productivity of the required knowledge work. The Active project addresses this challenge through an integrated knowledge management workspace that reduces information overload by significantly improving the mechanisms for creating, managing, and using information. The project's approach follows three themes: sharing information through tagging, wikis, and ontologies; prioritizing information delivery by understanding users' current-task context; and leveraging informal processes that are learned from user behavior.Thu Jan 06 14:48:10 CET 2011BeijingProgramming Collective Intelligence: Building Smart Web 2.0 Applications2007application knowledge development zzz.th adaptive recognition data assist web python ai software pattern v1010 social safari book user management Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build web applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Mon Dec 13 14:24:40 CET 2010Proceedings of the First International Workshop on Design and Integration Principles for Smart Objects (DIPSO 2007), Innsbruck, AustriaTowards a General Object Memory2007information ai v1010 zzz.spm paper middleware zzz.a.spm41 zzz.a.spm14 dfki management embedded Most ubiquitous computing applications that involve smart objects need to deal with object-related information. Proprietary solutions to this problem increase the required implementation effort and hinder knowledge reuse between different applications. In this paper, we propose a general object memory model, which allows to physically and conceptually attach object-related information to smart objects.Wed Nov 24 18:14:25 CET 2010Menlo Park, CASS-09-05Technical ReportIntelligent Event Processing, Papers from the 2009 AAAI Spring Symposium2009information knowledge zzz.spm data ontology engineering ai v1010 temporal book processing conference management aaai The Intelligent Event Processing symposium is organized around two central topics for the intelligent event processing. First, what progress can be achieved compared to the traditional event processing (and what is the price) and second, what challenges from the industry can be addressed by this progress (and what is the price). The primary goal is to analyze the gap between the first and second topics to detect current problems and define the priorities for the future research, and strategize how to generate impact in the research and industry communities, including standardization efforts. The symposium includes four general topics: modeling, discovery, reasoning and applications. The vision of responsive business has enforced new challenges for traditional complex event processing (CEP): dealing with unknown events, distributed event processing, and actionable responses, to name but a few. Indeed, not only the scale of processing and fast pattern detection but also the complexity of processing and the efficient discovery and maintenance of complex event patterns determine the success of event processing applications in new, distributed, very complex, and changeable business environments. Most of these new requirements require sophisticated mechanisms like predictability, interoperability, consistency, and completeness, which can be realized by applying formal models and methods. AI seems to be one of the key ingredients for the new generation of CEP approaches, and the Intelligent Event Processing symposium brought together researchers from a variety of subfields of AI to discuss corresponding opportunities and threats. The discussions centered on a number of questions: Why and when intelligent? How intelligent? What is the price of being intelligent? These questions led to investigations about use cases, architectures, and open research issues for intelligent CEP (iCEP). A very inspirational keynote speech by David Luckham (Stanford University) explaining the need for a holistic event processing approach opened the discussions. The main findings of the symposium were as follows. The primary advantage of iCEP is in dealing with unknown events, which goes beyond the closed-world-assumption- related anomaly detection (everything that is not known is unknown) to the interestingness-driven unusuality detection (everything that appears more or less often than expected is unusual). That means that the system will be able to react to the event patterns that are not defined in advance but generated on the fly according to the background knowledge and past data. This opens opportunities for new applications in the domain of rare event detection (such as for crisis management or global or epidemic warning systems). The key underlying mechanism for iCEP is the logic-based representation of events and operators for combining them in the complex events. The logic provides a unified representation of events, conditions, and actions, enabling reasoning about the reactivity of the system, such as by introducing constraints (synchronization) in the execution of actions. In other words, it is possible to define complex constraints between actions that should be executed as responses on some events, including the case that some of these actions can be treated as new events. Additionally, the logic allows the definition of new operators that describe more complex relations between events than is done by traditional Snoop operators (and, or, seq, and so on) and their efficient realization. An example is the definition of the isolation. One of the primary research challenges for the community is that the complex event detection process in iCEP must remain data driven. Indeed, logic-based approaches are usually goal driven (backward chaining), which reduces the real-time flavor of event processing. Another challenge is management of the complex event’s patterns, that is, support for all phases in their life cycle, especially creation---a very expensive, SME-driven activity. A pragmatic approach is to treat complex event patterns as knowledge artifacts and apply knowledge-management processes such as creation, representation, usage, and validation. However, automatic methods for complex event mining are even more challenging because iCEP requires the discovery of very complex event patterns and the discovery of new patterns on the fly. Finally, dealing with complex events on the web is a research challenge on its own, including the questions of an interoperable format for representing events on the web (for example, in RDF) and the corresponding (distributed) complex event detectors. Nenad Stojanovic, Andreas Abecker (FZI, Germany), Opher Etzion (IBM Research Lab, Haifa, Israel), and Adrian Paschke (Free University Berlin, Germany) served as cochairs of this symposium.Sun Oct 31 22:48:26 CET 2010BerlinSemantic Multimedia: 4th International Conference on Semantic and Digital Media Technologies, SAMT 2009, Graz, AustriaLecture Notes in Computer ScienceSemantic Multimedia: 4th International Conference on Semantic and Digital Media Technologies, SAMT 2009, Graz, Austria, December 2--4, 2009, Proceedings58872009information springer knowledge semantic web zzz.th.c4 ai multimedia v1010 book processing conference management This book constitutes the refereed proceedings of the 4th International Conference on Semantics and Digital Media Technologies, SAMT 2009, held in Graz, Austria, in December 2009. The 13 revised full papers and 8 short papers presented together with the abstracts of 2 invited keynote lectures were carefully reviewd and selected from 41 submissions. The volume discusses topics such as semantic analysis and multimedia, semantic retrieval and multimedia, semantic metadata management of multimedia, semantic user interfaces for multimedia, semantics in visualization and computer graphics, as well as applications of semantic multimedia.Sun Oct 31 22:48:15 CET 2010The Adaptive Web: Methods and Strategies of Web Personalization9BrusilovskyKobsaNejdl2007291-324Collaborative Filtering Recommender Systems2007information application ai springer adaptive v1010 paper community assist web management user One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF) is the process of filtering or evaluating items through the opinions of other people. CF technology brings together the opinions of large interconnected communities on the web, supporting filtering of substantial quantities of data. In this chapter we introduce the core concepts of collaborative filtering, its primary uses for users of the adaptive web, the theory and practice of CF algorithms, and design decisions regarding rating systems and acquisition of ratings. We also discuss how to evaluate CF systems, and the evolution of rich interaction interfaces. We close the chapter with discussions of the challenges of privacy particular to a CF recommendation service and important open research questions in the field.Sun Oct 31 22:48:12 CET 2010Proceedings of the Poster and Demonstration Session at the 7th International Semantic Web Conference (ISWC 2008), Karlsruhe, GermanyISWC2008PDUnleash the Power of Semantic Web in the Enterprise2008information knowledge zzz.th paper middleware semantic web retrieval architecture zzz.th.c48 eclipse ai v1010 search service processing management An important requirement to the enterprise IT is the ability to manage information with high flexibility. Semantic web research and resulting technologies are therefore getting more and more vital within business processes. One question is how to get the research work - done at universities or within corporations - into the enterprise easily. One possible answer to this question is the availability of an open source information processing framework, which meets the requirements of an enterprise. This framework should be mature and flexible enough to design any application. To move towards such a flexible architecture, which is able to process vast amounts of information in an enterprise, a joint development by BROX and Empolis, has been started on Eclipse.Sun Oct 31 22:48:09 CET 2010BerlinSemantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, and Human Language Technologies2009ai knowledge springer v1010 book semantic processing web language ontology management engineering Despite its explosive growth over the last decade, the Web remains essentially a tool to allow humans to access information. Semantic Web technologies like RDF, OWL and other W3C standards aim to extend the Web’s capability through increased availability of machine-processable information. Davies, Grobelnik and Mladenic have grouped contributions from renowned researchers into four parts: technology; integration aspects of knowledge management; knowledge discovery and human language technologies; and case studies. Together, they offer a concise vision of semantic knowledge management, ranging from knowledge acquisition to ontology management to knowledge integration, and their applications in domains such as telecommunications, social networks and legal information processing. This book is an excellent combination of fundamental research, tools and applications in Semantic Web technologies. It serves the fundamental interests of researchers and developers in this field in both academia and industry who need to track Web technology developments and to understand their business implications.Sun Oct 31 22:48:07 CET 2010KI -- K{\"u}nstliche Intelligenz323-28Modelling Dialogue: Challenges and Aproaches20052005ai v1010 paper processing language dialog management Modelling dialogue, that is, designing formal systems that reproduce aspects of natural conversation, is a challenging task. In this overview paper we describe some of the challenges, and review extant approaches to dealing with them.Sun Oct 31 22:48:07 CET 2010Beijing97 Things Every Project Manager Should Know2010process project software development v1010 softskills safari book management If the projects you manage don't go as smoothly as you'd like, the book offers knowledge that's priceless, gained through years of trial and error. This illuminating book contains 97 short and extremely practical tips---whether you're dealing with software or non-IT projects---from some of the world's most experienced project managers and software developers. You'll learn how they've dealt with everything from managing teams to handling project stakeholders to runaway meetings and more.Sun Oct 31 22:47:45 CET 2010Cambridge, MAKnowledge Engineering and Management: The {CommonKADS} Methodology2000process information software ai knowledge v1010 book processing management engineering The disciplines of knowledge engineering and knowledge management are closely tied. Knowledge engineering deals with the development of information systems in which knowledge and reasoning play pivotal roles. Knowledge management, a newly developed field at the intersection of computer science and management, deals with knowledge as a key resource in modern organizations. Managing knowledge within an organization is inconceivable without the use of advanced information systems; the design and implementation of such systems pose great organization as well as technical challenges. The book covers in an integrated fashion the complete route from corporate knowledge management, through knowledge analysis and engineering, to the design and implementation of knowledge-intensive information systems. The CommonKADS methodology, developed over the last decade by an industry-university consortium led by the authors, is used throughout the book. CommonKADS makes as much use as possible of the new UML notation standard. Beyond information systems applications, all software engineering and computer systems projects in which knowledge plays an important role stand to benefit from the CommonKADS methodology.Sun Oct 31 22:47:44 CET 2010LondonThe Engineering of Mixed Reality Systems2010springer development multimodal interaction architecture team health interface embedded ai software v1010 3d book crisis graphics management user design Mixed reality computer systems aim to fuse digital and physical information and features, either as an augmentation of real-world environments or as a means of providing physically-based interaction with computer-based systems. So – for example – museum displays can be augmented with added information about their history and provenance, and this information delivered to a visitor via their mobile telephone as they pass in front of the display. An increasing number of systems are exploiting mixed reality but to date there are no systematic methods, techniques or guidelines for the development of such systems. In bringing together contributions on a broad range of mixed reality development issues this book provides a sound theoretical foundation for a disciplined approach to mixed reality engineering. Divided into three parts, interaction design, software design and implementation, this book brings together state of the art developments in the engineering of mixed reality systems, addressing issues at these three levels. Part 1 covers generic and specific mixed reality design elements and provides an overview of the design method; Part 2 addresses technical solutions for interaction techniques, development tools and a global view of the mixed reality software development process. Finally part 3 contains detailed case studies to highlight the application of mixed reality in a variety of fields including aviation, architecture, emergency management, games, and healthcare. Multimodal and tangible interaction designers, systems engineers working in augmented reality and ubiquitous systems, human factors researchers, and others interested in the use of mixed reality techniques in their work, will find this book a useful addition to their bookshelf.