209 research outputs found
SPLIT INFINITIVES IN PROLOG
No full textHenriksson, Aron. Neculau, Andrei. 2009. Split Infinitives in Prolog. Pages 3. Appendix A.split infinitives, logic programming, prolog
SPLIT INFINITIVES IN PROLOG
No full textHenriksson, Aron. Neculau, Andrei. 2009. Split Infinitives in Prolog. Pages 3. Appendix A.split infinitives, logic programming, prolog
ALIGNMENT OF BUSINESS AND IS/IT STRATEGY AT TELENOR SWEDEN
No full textNeculau, Andrei. Habib, Stephanie. Henriksson, Aron. Magarian Kenaraki, Miganoush Katrin. Liu, Yuanchang. 2009. Alignment of Business and IS/IT Strategy at Telenor Sweden.strategic alignment, IS/IT strategy, business strategy, organizational strategy, case study, Telenor
CLOVER: MOBILE STUDENT COMMUNITY ON SQUACE
No full textAzizyan, Gayane. Henriksson, Aron. Magarian Kenaraki, Miganoush Katrin, Neculau, Andrei. 2009. Mobile Student Community on Squace. Pages 12project report, mobile, bookmarking, student community, integration
CLOVER: MOBILE STUDENT COMMUNITY ON SQUACE
No full textAzizyan, Gayane. Henriksson, Aron. Magarian Kenaraki, Miganoush Katrin, Neculau, Andrei. 2009. Mobile Student Community on Squace. Pages 12project report, mobile, bookmarking, student community, integration
TOWARDS ENHANCED E-COLLABORATION IN ACADEMIA A HOLISTIC MODEL FOR DEVELOPMENT OF E-COLLABORATION SOFTWARE
No full textHenriksson, Aron. Neculau, Andrei. 2008. Towards Enhanced E-collaboration in Academia. A Holistic Model for Development E-collaboration Software. The Royal Institute of Technology, Stockholm, Sweden. Information and Communication Technology.E-collaboration is an inherently complex activity that encompasses many factors that supplement the pivotal technical elements. This paper investigates the various aspects of e-collaboration from an academic viewpoint, and reiterates the call for a holistic approach towards e-collaboration research and development. Moreover, the use of collaboration tools by IT students is surveyed, which substantiates the belief that e-collaboration needs to be further promoted in academia. We present a conceptual model that hopefully can provide some guidance for further research on e-collaboration and development of e-collaboration suites.E-collaboration, Academia, Requirements, Boundaries, Holistic
TOWARDS ENHANCED E-COLLABORATION IN ACADEMIA A HOLISTIC MODEL FOR DEVELOPMENT OF E-COLLABORATION SOFTWARE
No full textHenriksson, Aron. Neculau, Andrei. 2008. Towards Enhanced E-collaboration in Academia. A Holistic Model for Development E-collaboration Software. The Royal Institute of Technology, Stockholm, Sweden. Information and Communication Technology.E-collaboration is an inherently complex activity that encompasses many factors that supplement the pivotal technical elements. This paper investigates the various aspects of e-collaboration from an academic viewpoint, and reiterates the call for a holistic approach towards e-collaboration research and development. Moreover, the use of collaboration tools by IT students is surveyed, which substantiates the belief that e-collaboration needs to be further promoted in academia. We present a conceptual model that hopefully can provide some guidance for further research on e-collaboration and development of e-collaboration suites.E-collaboration, Academia, Requirements, Boundaries, Holistic
ALIGNMENT OF BUSINESS AND IS/IT STRATEGY AT TELENOR SWEDEN
No full textNeculau, Andrei. Habib, Stephanie. Henriksson, Aron. Magarian Kenaraki, Miganoush Katrin. Liu, Yuanchang. 2009. Alignment of Business and IS/IT Strategy at Telenor Sweden.strategic alignment, IS/IT strategy, business strategy, organizational strategy, case study, Telenor
Representing Clinical Notes for Adverse Drug Event Detection
No full textElectronic health records have emerged as a promising source of information for pharmacovigilance. Adverse drug events are, however, known to be heavily underreported, which makes it important to develop capabilities to detect such information automatically in clinical text. While machine learning offers possible solutions, it remains unclear how best to represent clinical notes in a manner conducive to learning high-performing predictive models. Here, 42 representations are explored in an empirical investigation using 27 real, clinical datasets, indicating that combining local and global (distributed) representations of words and named entities yields higher accuracy than using either in isolation. Subsequent analyses highlight the relative importance of various named entity classes for predicting adverse drug events
The Robustness of Knowledge : Analysis of Certainty in Narrative Knowledge Bases
No full textKnowledge constitutes the lifeblood of many organizations. Efforts to manage it systematically necessitate mapping and appraising the existing body of knowledge, not least in order to learn of any gaps that need to be bridged. The extent to which knowledge can be relied upon bears heavily on the decision-making apparatus of organizations. The ability to monitor the state of organizational knowledge is greatly facilitated by codifying it in a highly formalized form, which typically incorporates a certainty factor. Despite such ongoing knowledge management endeavors, most of it is nonetheless yet to be formalized: valuable knowledge is retained in scores of documents, which are loosely structured at best. Means of appraising the reliability of such knowledge are ostensibly lacking. In recent years, uncertainty in text has increasingly come into the research spotlight. This is here extrapolated to a slightly different domain in an attempt to discover ways of gauging the reliability of knowledge based on the subjective perspective of the author, who, through a particular choice of words and expressions, implicitly or explicitly judges the certainty of knowledge he or she wishes to communicate. A holistic perspective on certainty—in which not only uncertainty is considered, but also signs of increased certainty—requires a classification of statements into various certainty levels. Moreover, a differentiation between types of statement is important due to their—to different degrees—varying claims of constituting knowledge. Based on previous approaches and an extensive literature review, a set of guidelines for the annotation of certainty in knowledge-intensive text is proposed. The feasibility of the approach put forward is evaluated on a small corpus comprising documents from The World Bank, which are annotated in two sets. Analysis of the resulting annotations is conducted by comparing the level of agreement between different annotators. Difficulties in distinguishing between types of statement— statements that give an account of something and statements that express clear knowledge claims—and determining the level of certainty—a four-scale classification from very certain to very uncertain—lead to significant inconsistencies (0.28 F1-score for exact matches and 0.41 F1-score for partial matches). Further refinement of the guidelines is therefore necessary before automatic classification can be attempted.</p
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