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Alzghoul, A, Backe, B, Löfstrand, M, Byström, A & Liljedahl, B 2014, Comparing a knowledgebased and a data driven method in querying data streams for system fault detection: A hydraulic drive system application, Computers in Industry, vol 65, no. 8, pp. 1126-1135

Lindström, J., Löfstrand, M., Kalhori, V., Helgosson, M., Nyström, M., Liljedahl, B., Mäki, R., Karlsson, L., An innovation model for manufacturing industry: sustainable growth by functions, Journal of Multi Business Model Innovation and Technology, submitted for publication.

Löfstrand, M., Risch, T., Alzghoul, A., Using Continuous Queries and Data Mining for Improving Industrial Manufacturing Process Availability, Submitted for publication.

Löfstrand, M., Risch, T., Alzghoul, A., Using Continuous Queries and Data Mining for Improving Industrial Manufacturing Process Availability, Submitted for publication

Biancucci, M.; Janeiro, J.; Leva, M.; Mecella, M. & Lukosch, S. Collaboration in Virtual Enterprises through the SmartVortex Suite

Audience:15th International Working Conference on Virtual Enterprises (PRO-VE 2014), 2014

Lindström, J 2014, A model for value-based selling: enabling corporations to transition from products and services towards further complex business models, Journal of Multi Business Model Innovation and Technology, vol 2, nr 1, s. 67-97.

Andrejev,A., Toor, S., Hellander,A., S.Holmgren, Risch, T., Scientific Analysis by Queries in Extended SPARQL over a Scalable e-Science Data Storage

Audience:9th IEEE International Conference on e-Science, Beijing, China, October 2013.

Felix Beierle, Felix Engel, Natthias Hemmje (2014). Finding the Right Experts and Learning to Rank Them by Relevance: Evaluation of a Semi-Automatically Generated Ranking Function

Audience:16th LWA Workshops: KDML, IR and FGWM, Vol-1226, Aachen, Germany

Janeiro, J.; Lukosch, S.; Brazier, F. M.; Leva, M.; Mecella, M. & Byström, A. Evaluating Different Group Coordination Mechanisms in an Industrial Engineering Scenario Groupware: Design, Implementation and Use

Audience: 20th International Workshop, CRIWG 2014, 2014

Badiozamany, S., (supervised by Risch, T.), Distributed multi-query optimization of continuous clustering queries

Audience:VLDB 2014 PhD workshop, Hangzhou, China, September 1-5, 2014.

Biancucci, M.; Mecella, M.; Janeiro, J. & Lukosch, S. Supporting Industrial Processes by Monitoring and Visualizing Collaborations

Audience:Proceedings of the International Conference on Innovative Design and Manufacturing (ICIDM), 2014

Schnelle-Walka, Dirk and Radomski, Stefan and Lager, Torbjörn and Barnett, Jim and Dahl, Deborah and Mühlhäuser, Max. Engineering Interactive Computer Systems with SCXML

Audience:EICS2014 Engineering Interactive Systems with SCXML Workshop Proceedings, June 2014.

Stefan Radomski, Dirk Schnelle-Walka, Leif Singer. A Debugger for SCXML Documents

Audience:EICS2014 Engineering Interactive Systems with SCXML Workshop Proceedings, June 2014.

Stefan Radomski, Tim Neubacher, Dirk Schnelle-Walka. From Harel To Kripke: A Provable Datamodel for SCXML.

Audience:EICS2014 Engineering Interactive Systems with SCXML Workshop Proceedings, June 2014.

Dirk Schnelle-Walka, Stefan Radomski, Torbjörn Lager, Jim Barnett, Deborah Dahl, Max Mühlhäuser. Engineering Interactive Systems with SCXML

Audience:EICS2014 “Proceedings of the 2014 ACM SIGCHI Symposium on Engineering Interactive Computing Systems Proceedings”, p. 295-296, June 2014.

Truong T., Risch T., Scalable Numerical Queries by Algebraic Inequality Transformations

Audience:The 19th International Conference on Database Systems for Advanced  Applications DASFAA 2014, Bali, Indonesia, 21-24 April, 2014.

Alzghoul, A., Löfstrand, M., Addressing concept drift to improve system availability by updating one-class data driven models, Evolving Systems Journal, April 2014.

Zhu, M., Stefanova, S, Truong, T., and Risch, T., Scalable Numerical SPARQL Queries over Relational Databases

Audience:4th international workshop on linked web data management (LWDM 2014), Athens, Greece, March 28, 2014.

Felix Beierle, Felix Engel, Matthias Hemmje (2014). Generation of Training Data for Learning-to-Rank Processes in an Expert Seeking Application.

Audience:Gesellschaft fuer Informatik , (Hrsg.) Informatiktage 2014 “Fachwissenschaftlicher Informatik-Kongress, GI-Editionen Lecture Notes in Informatics (LNI) S-13”, Koellen Druck+Verlag 2014, Bonn

Löfstrand, M., Kyösti, P., Reed., S., Backe, B., Evaluating Availability of Functional Products through simulation, Journal of Simulation Modelling Practice and Theory, Vol. 47. Pp. 196-209.

Lindström, J., Sas, D., Lideskog, H., Löfstrand, M., Karlsson, L., Defining Functional Products through their constituents, Journal of Product Development, Vol. 19, No. 4, 2014

Stefanova, S., Risch, T. Scalable Long-term Preservation of Relational Data through SPARQL queries

Audience:Semantic Web Journal, SWJ, Semantic Web - Interoperability, Usability, Applicability, 2014.

Emanuela Bauleo, Serena Carnevale, Tiziana Catarci, Stephen Kimani, Mariano Leva, Massimo Mecella. Design, realization and user evaluation of the SmartVortex Visual Query System for accessing data streams in industrial engineering applications. J. Vis. Lang. Comput. 25(5): 577-601 (2014)



Knoll, S. W. & Lukosch, S. G. Brézillon, P.; Blackburn, P. & Dapoigny, R. (Eds.) A Context-Sensitive Intervention Approach for Collaboration in Dynamic Environments Modeling and Using Context, Springer Berlin Heidelberg, 2013, 115-128

A.Andrejev, S.Toor, A.Hellander, S.Holmgren, and T.Risch.  Scientific Analysis by Queries in Extended SPARQL over a Scalable e-Science Data Store

Audience:9th IEEE International Conference on e-Science, Beijing, China, October 2013.

M.Löfstrand, T.Risch, K.Orsborn, A.Alzghoul, M.Zhu, V.Kalhori, D.Wedlund, A.Byström, S.Stefanova, and C.Xu. D4.1 – SMART VORTEX Semantic query handling report and specification, September 2013.

C. Xu, D. Wedlund, M. Helgoson, and T. Risch. Model-based Validation of Streaming Data

Audience:The 7th ACM International Conference on Distributed Event-Based Systems, DEBS 2013, Arlington, Texas, USA, June 29 - July 3, 2013.

Vladimir Guchev, Massimo Mecella, Giuseppe Santucci. Design guidelines for correlated quantitative data visualizations. Proc. AVI 2012: 761-764

Kyösti, P 2013, Modelling and simulation of support systems to predict operational availability, Licentiate thesis, Luleå University of Technology, Sweden

Alzghoul, A. 2013, Mining data streams to increase industrial product availability, Doctoral thesis, Luleå University of Technology.

S. Stefanova. Scalable Preservation, Reconstruction, and Querying of Databases in terms of Semantic Web Representations, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1052 ISSN 1651-6214, ISBN 978-91-554-8690-7, Acta Universitatis Upsaliensis, 2013.

Alzghoul, A. 2011, Improving availability of industrial products through data stream mining. Licentiate thesis, Luleå University of Technology, Sweden.

Jordan Janeiro, Stephan G. Lukosch, Stefan Radomski, Mathias Johanson, Massimo Mecella and Jonas Larsson,Supporting elastic collaboration: integration of collaboration components in dynamic contexts

Audience: Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems (EICS’13)


Abstract: In dynamic problem-solving situations, groups and organizations have to become more flexible to adapt collaborative workspaces according to their needs. New paradigms propose to bridge two opposing process and ad-hoc perspectives to achieve such flexibility. However, a key challenge relies on the dynamic integration of groupware tools in the same collaborative workspace. This paper proposes a collaborative workspace (Elgar) that supports the Elastic Collaboration concept, and a standard interface to realize the integration of groupware tools, named Elastic Collaboration Components. The paper illustrates the use of such flexible collaborative workspace and the use of groupware tools in a machine diagnosis scenario that requires collaboration.

Stefan Werner Knoll, Jordan Janeiro, Stephan G. Lukosch and Gwendolyn L. Kolfschoten,A semantic model for adaptive collaboration support systems

Audience:(Book chapter)Semantic Models for Adaptive Interactive Systems

Human–Computer Interaction Series 2013, pp. 59-81, Springer London


Abstract: Dynamic environments characterize today’s world. In complex design and engineering processes, dynamic environments influence the requirements of an on-going collaboration process. They lead to process goal changes or reduce the time available to achieve a collaborative goal. In such a case, collaboration support and processes need to be adapted. Various collaboration support systems assist groups by providing technological support to structure activities, generate and share data, and to improve group communication. However, current support systems often prescribe or assume a fixed process and a known group composition. As result, collaboration support is needed that considers the changing environment and provides groups with the support they need. Such support can range from a fixed process and tool configuration to an open collaboration environment that enables groups to interact in a self-organized way. This chapter introduces an elastic collaboration approach that comprises a continuum of collaboration support, ranging from prescribed collaboration to new emerging forms of collaboration. The chapter discusses how the concept of elastic collaboration can be implemented in an adaptive collaboration support system using a semantic model to capture, manage and analyse a collaboration environment. Based on this model, a sample application of the semantic model is presented along with a collaborative problem-solving model.

C.Xu, D.Wedlund, M.Helgoson, and T.RischModel-based Validation of Streaming Data

Audience:7th ACM International Conference on Distributed Event-Based Systems, DEBS ,Arlington, Texas, USA, June 29 - July 3, 2013.


Abstract:An approach is developed where functions are used in a data stream management system to continuously validate data streaming from industrial equipment based on mathematical models of the expected behavior of the equipment. The models are expressed declaratively using a data stream query language. To validate and detect abnormality in data streams, a model can be defined either as an analytical model in terms of functions over sensor measurements or be based on learning a statistical model of the expected behavior of the streams during training sessions. It is shown how parallel data stream processing enables equipment validation based on expensive models while scaling the number of sensor streams without causing increasing delays. The paper presents two demonstrators based on industrial cases and scenarios where the approach has been implemented.

Stefan Werner Knoll and Stephan G. LukoschA Context-Sensitive Intervention Approach for Collaboration in Dynamic Environments

Audience: Proceedings the 8th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT'13)

Abstract: Complex design and engineering processes are characterized by dynamic requirements, like changing process goals or group constellations. To deal with these dynamics, a context-sensitive approach is needed to consider a changing environment and provides teams with the support they need. This paper describes research about a context-sensitive intervention approach to support collaboration in dynamic environments. Based on a review of existing approaches for context modelling in collaboration, a semantic model is presented to describe a collaboration process design as well as contextual process information. Using existing theories on collaboration performance, the paper discusses how the semantic model can be used to monitor group performance during collaboration. Thereby, a rule concept is introduced to derive interventions for dynamic collaboration processes and discusses their application to build new context-sensitive collaboration support systems.

S.Badiozamany, L.Melander, T.Truong, C.Xu, and T.RischGrand Challenge: Implementation by Frequently Emitting Parallel Windows and User-Defined Aggregate Functions

Audience; 7th ACM International Conference on Distributed Event-Based Systems, DEBS , Arlington, Texas, USA, June 29 - July 3, 2013.


Abstract: Our implementation of the DEBS 2013 Challenge is based on a scalable, parallel, and extensible DSMS, which is capable of processing general continuous queries over high volume data streams with low delays. A mechanism to provide user defined incremental aggregate functions over sliding windows of data streams provide real-time processing by emitting results continuously with low delays. To further eliminate delays caused by time critical operations, the system is extensible so that functions can be easily written in some external programming language. The query language provides user defined parallelization primitives where the user can express queries specifying how high volume data streams are split and reduced  into lower volume parallel data streams. This enables expensive queries over data streams to be executed in parallel based on application knowledge. Our OS-independent implementation was tested on several computers and achieves the real-time requirement of the challenge on a regular PC.

S. Kimani, M. Leva, M. Mecella, T. CatarciVisualization of Multidimensional Sensor Data in Industrial Engineering.

Audience: In Proceedings of the 17th International Conference on Information Visualization, 15-18 July, London, UK


Abstract: Sensors have become increasingly deployed in many areas, and especially in industrial engineering settings. Sensor data is however temporal, massive, and multidimensional in nature. Such characteristics make it difficult to render sensor data for visual analysis. Although there exist potential visualizations for sensor data, there is very little specific guidance in literature on the visualization of sensor data in order to support industrial engineers in decision making. Existing visualizations are not always readily applicable to the domain of industrial engineering. This paper sheds more light on the area and proposes a visualization environment for supporting industrial engineers in their tasks.

M.Leva, M.Mecella, A.Russo, T.Catarci, S.Bergamaschi, A.Malagoli, T.Risch, C.Xu and L.MelanderVisually Querying and Accessing Data Streams in Industrial Engineering Applications.

Audience: 21st Italian Symposium on Advanced Database Systems, SEBD 2013, Roccella Jonica, Italy, June 30th - July 3rd, 2013.


Abstract: Nowadays, industrial engineering environments are typically characterized by sensors which stream massive amounts of different types of data. It is often difficult for industrial engineers to query, interact with, and interpret the data. In order to process many different kinds of distributed data stream sources originating from different kinds of data sources, a distributed federated data stream management system (FDSMS) is necessary. Although there exist some research efforts aimed at providing visual interfaces for querying temporal and real time data, there is virtually no existing work that provides a visual query specification and interaction interface that directly corresponds to a distributed federated data stream management system. This paper describes a visual environment that supports users in visually specifying queries and interacting with industrial engineering data. The visual environment comprises: a visual query specification and interaction environment, and a corresponding visual query language that runs on top of a distributed FDSMS.

A. Malagoli, M. Leva, S. Kimani, A. Russo, M. Mecella, S. Bergamaschi, T. Catarci.Visual Query Specification and Interaction with Industrial Engineering Data.

Audience: Proceedings of the 9th International Symposium on Visual Computing (ISVC'13), Rethymnon, Crete, Greece, 29-31 July, 2013.


Abstract: Managing the complexity of highly specialized products in industrial environments requires today the ability of handling the different data streams produced in all phases of the product lifecycle. Data stream management systems and stream query languages represent a viable solution for processing and accessing large data streams to support analytical tasks as a basis for improving human collaboration and decision-making. However, the complexity of existing textual stream query languages often prevents unskilled users from effectively exploiting the available tools. In this paper we present a visual query system that allows users to graphically build queries over data streams and traditional relational data. It builds on top of the SCSQ federated data stream management system providing configurable tools for the graphical visualization of query results. The system is being validated in real industrial scenarios, by using the presented tools to analyze data streams produced by industrial machines..

Felix Engel, Matthias Juchmes, Matthias HemmjeExpert search in semantically annotated enterprise data: integrating query- dependent and independent relevance factors

Audience: LWA 2013, Bamberg, Germany

Abstract: The documentation of processes or employee- and product-related-data in the enterprise does comprehensively contribute to the preservation and future access to acquired in-house knowledge. Sophisticated access to this data is an essential part of successful knowledge management. With the increasing use of semantic web recommendations and technologies in enterprise new challenges and opportunities concerning data access arise. Search for experts in documented enterprise data has been a famous research topic for years. A major reason for this is its beneficial impact on accessing existing enterprise potential. Thus search for experts is a valuable application for the enterprise advancement.

However, recent expert search systems largely implement relevance ranking on basis of topic relevance be-tween a potential expert and the topic of the query. Nevertheless, even though the query topic as relevance evidence source has been proven as one of the most important factors in expert search; it only reflects the relevance be-tween the query topic and the closeness of an expert to the topic. The analysis of further evidence sources is part of researches in the field of expertise seeking. Such research results are rarely taken into account in recent expert search implementations. The provision of comprehensive semantic annotations in enterprises opens new potential and challenges for the implementation of sophisticated expert search systems, taking into account not only topic closeness.




Jordan Janeiro, Stephan G. Lukosch and Frances M. T. Brazier, Elastic collaboration support: from workflow-based to emergent collaboration

Audience: Proceedings of the 17th ACM international conference on Supporting group work (Group’12)


Abstract: This paper addresses the challenges of providing customized collaboration support to teams of experts. Current groupware systems only provide support for workflow-based collaboration, avoiding new forms of collaboration such as emergent collaboration. Therefore this paper proposes a elastic collaboration approach and its implementation in a groupware system.

Kolfschoten, G. & Brazier, F.:Cognitive Load in Collaboration – Convergence

Audience: Hawaii International Conference on System Science, HICSS 2012

A.Andrejev and T.Risch:Scientific SPARQL: Semantic Web Queries over Scientific Data

Audience: The 3rd International Workshop on Data Engineering Meets the Semantic Web (DESWEB 2012), Washington DC, USA, 2012.


Löfstrand, M, Backe, B, Kyösti, P, Lindström, J & Reed: A model for predicting and monitoring industrial system availability

Audience: International Journal of Product Development, Vol 16, Nr 2, P. 140-157


Alzghoul, A, Löfstrand, M & Backe :Data stream forecasting for system fault prediction

Audience:Computers & Industrial Engineering, vol 62, nr 4, s. 972–978


Diogo Azevedo, Jordan Janeiro, Stephan G. Lukosch, Robert O. Briggs and B. Fonseca:An Integrative Approach to Diagram-based Collaborative Brainstorming

Audience: Proceedings of the ECSW 2011 Workshop on Collaborative usage and development of models and visualizations

Abstract:The need for computer supported collaboration has grown over the last years and made collaboration processes an important factor within organizations. This trend has resulted in the development of a variety of tools and technologies to support the various forms of collaboration.  Many collaborative processes, e.g. strategy building, scenario analysis, root cause analysis and requirements engineering, require various collaboration support tools. Within these synchronous collaborative applications to create, evaluate, elaborate, discuss, and revise graphical models, e.g. data flow, fishbone and brainstorming diagrams, play an important role.  Currently, the necessary tools are not integrated and flexible enough to support such processes. In this paper, we introduce a synchronous collaborative brainstorming diagram editor that is integrated in a flexible group support system. By this our approach goes beyond the current state of the art as we can be seamlessly integrated with other collaboration support tools such as text based brainstorming, voting, etc.

Tanja Buttler, Jordan Janeiro, Stephan G. Lukosch and Robert O. Briggs, Beyond GSS:Fitting Collaboration Technology to a Given Work Practice

Audience:Collaboration and Technology, 17th International Workshop, CRIWG

Abstract:Collaboration has become a critical success factor for many organizations. Collaboration is however not without challenges. Free riding, dominance, group think or hidden agendas are but a few phenomena in group work that make it a non-straight effort. In addition, tools and technology that supports collaboration exists in a variety of shapes from complex group support systems (GSS) to simple boxes with cards and pencils. GSS often only offer a limited set of tools with a limited set of configurable features. Organizations, however, face an unlimited variety of problems with an unlimited variety of structures. In this article, we present a component-based groupware approach that goes beyond current GSS and allows collaboration engineers to fit the collaboration technology to a given work practice. We illustrate the feasibility of our approach by reporting on first experiences on supporting a requirements engineering work practice.

Jordan Janeiro, Stefan Werner Knoll, Stephan G. Lukosch and Gwendolyn L. Kolfschoten,Adaptive Collaboration Support Systems: Designing Collaboration Support for Dynamic Environments

Audience:Proceedings of the Third International Engineering Systems Symposium (CESUN)


Abstract: Today, engineering systems offer a variety of local and web-based applications to support collaboration by assisting groups in structuring activities, generating and sharing data, and improving group communication. To ensure the quality of collaboration, engineering system design needs to analyse and define possible collaboration processes. Currently, engineering system design focuses on collaboration processes in a static environment. However, today’s world is characterized by dynamic environments that can influence the requirements of a collaboration process and require to adapt the process during runtime. This paper introduces a new approach for engineering systems design that provides adaptive collaboration support for changing environments.  This approach is based upon a conceptual architecture for engineering systems that uses data streams to analyse the dynamic environment and adapts a collaboration process on demand according to varying goals, time and data.

Jordan Janeiro, Stefan Werner Knoll, Stephan G. Lukosch, Gwendolyn L. Kolfschoten and Frances M. T. Brazier,Designing Collaboration Support for Dynamic Environments

Audience: Proceedings of the International Conference on Group Decision and Negotiation (GDN)


Abstract:Collaboration within the product lifecycle can be defined as an integrated and information-driven approach that includes people, procedure and technology. In such processes, experts from different areas related to the product collaborate with each other, in different phases of the lifecycle. For example, in the usage phase, according to new maintenance strategies such as predict and prevent (PaP), maintenance teams formed by designers and maintenance experts have to work together to formulate the diagnosis of a certain product, preventing its downtime or breakdown. However, such task can be challenging because of the dynamics of the situation. In some cases the available time for collaboration can be limited and the performance of a product can quickly change. Therefore, in order to overcome such challenges, we present a system model to support collaboration in such a situation. This system supports the provision of product data streams, during the whole lifecycle on real-time and adapts the collaboration tools proposed by teams.

Jens Grabarske, Dominic Heutelbeck:An Upper Ontology for the Social Web.

Audience: First DMSSW workshop at the ASONAM 2012 conference in Istanbul

Abstract:Ontologies modelling social graphs often use FOAF as an upper ontology. However, this approach has significant drawbacks. This paper analyses the requirements for upper social ontologies and illustrates the shortcomings of FOAF and proposed extensions. An alternative approach is presented which is suspected to be sufficient to solve the identified problems.

Karlsson, L. , Lindström, J. & Löfstrand, M. 2012,Functional Products: Goodbye to the industrial

Audience:Ericsson Business Review. 18, 2, pp21-24, Ericsson customer in more than 130 countries


Abstract:Why sell the product if you can sell the function instead? Today, there is a strong push toward so-called industrial product-service systems, total-care products, functional sales or functional products. But selling a function brings complexity.

S.Badiozamany and T.Risch:Scalable ordered indexing of streaming data

Audience:3rd International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures, ADMS'12, Istanbul, Turkey, 2012,


Abstract:In order to efficiently answer continuous queries requiring range search in large stream windows, data stream management systems (DSMSs) need ordered indexes. Conventional DBMS indexing methods are not specifically designed for data streaming applications with extremely high insert and delete rates for windows over streams. This motivates a scalability investigation for various ordered main memory indexing methods in a streaming environment, through implementation and experiments. Our experimental studies show that a state-of-the-art implementation of cache-aware compact tries is a very suitable indexing structure for data streaming applications allowing constant time insert and access rates. However, in the best of the investigated implementation the range search was slow. Since  a highly optimized implementation of compact tries is very complex we developed a framework for scalable range search in an index without any change to its source code. Another important issue is that index maintenance in window based data stream environments require a scalable way of deleting data, which is addressed by an index independent window aware bulk deletion technique, also without changing any source code.




Daniel Backhausen, Claus-Peter Klas, Matthias Hemmje: Adaptive user support in interactive search processes.

Audience:German journal on databases: Datenbank-Spektrum,Springer


Erik Zeitler, Tore Risch:Massive scale-out of expensive continuous queries

Audience:Proceedings of the VLDB Endowment, ISSN 2150-8097, Vol. 4, No. 11, p 1181-1188, 2011 and also presented at conference VLDB 2011


Alzghoul, A. & Löfstrand, M:Increasing availability of industrial systems through data stream mining.

Title:Journal on Computers & Industrial Engineering


Pavasson, J.& Karlberg,M:Variation Mode and Effect Analysis compared to FTA and FMEA in Product Development.


Petter Kyösti, Sean Reed, Magnus Löfstrand, John Andrews, Lennart Karlsson, Sarah Dunnet:Simulation of Industrial Support Systems in the Context of Functional Products

Audience: Advances in Risk and Reliability Technology Symposium


Magnus Löfstrand, Sean Reed, Magnus Karlberg, John Andrews, Lennart Karlsson, Sarah Dunnett.:Modelling and Simulation of Functional Product System Availability

Audience: International Journal of Product Development

Alzghoul, A. , Löfstrand, M. , Karlsson, L. & Karlberg, M.:Data stream mining for increased functional product availability awareness

Audience: International Conference on Industrial Product Service Systems

Löfstrand, M., Karlberg, M., Andrews, J. & Karlsson, L.: Functional product system availability: simulation driven design and operation through coupled multi-objective optimisation

Audience: International Journal of Product Development

Brunsmann, J., Wilkes, W., & Brocks, H.:Exploiting Product and Service Lifecycle Data.

Audience: International Conference on Product Lifecycle Management

Azevedo, D.; Janeiro, J.; Lukosch, S.; Briggs, R.O. &  Fonseca B.:An Integrative Approach to Diagram-based Collaborative Brainstorming

Audience: Workshop "Collaborative usage and development of models and visualizations" at ECSCW 2011

Kolfschoten, G.; Lukosch, S. & Seck, M.:Simulating Collaboration Processes to Understand and Predict Group Performance

Audience: Hawaii International Conference on System Science, HICSS 2011


Lukosch, S. & Kolfschoten, G.:Towards effective collaborative design and engineering

Audience: Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS)


Di Ciccio C., Mecella M., Catarci T.:Representing and Visualizing Mined Artful Processes in MailOfMine

Audience:Workshop on Human-Computer Interaction & Knowledge Discovery and Data Mining (HCI-KDD)

E.Zeitler:Scalable Parallelization of Expensive Continuous Queries over Massive Data Streams

Audience: Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 836 ISSN 1651-6214, ISBN 978-91-554-8095-0, Acta Universitatis Upsaliensis


M.Zhu and T.Risch:Querying Combined Cloud-Based and Relational Databases

Audience: The 2011 International Workshop on Data Cloud (D-CLOUD 2011), December 12, Hong Kong, 2011


Di Ciccio C., Mecella M., Scannapieco M., Zardetto D., Catarci T:MailOfMine — Analyzing Mail Messages for Mining Artful Collaborative Processes

Audience:International Symposium on Data-Driven Process  Discovery and Analysis (SIMPDA 2011)

Jordan Janeiro:Elastic Collaboration Processes

Audience: Doctor Consortium of CRIWG, 2011

Johanson.M., Löfstrand, M. Karlsson, L.: Turning an Hourglass into a Diamond

Audience: CENT 2011 Orlando, Florida, USA: Inter-organizational Collaborative Work in the Enterprise of the Future