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15th IEEE Conference on Business Informatics, IEEE CBI 2013

作者： Marchand-Maillet, Stephane Hofreiter, Birgit University of Geneva Carouge Switzerland Electronic Commerce Group Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria

ISBN: (纸本)9780768550725

Massive amounts of textual and digital data are created daily from business or public activities. The organisation, mining and summarization of such a rich and large information source is required to capture the essential and critical knowledge it contains. Such a mining is of strategic importance in many domains including innovation (eg to mine technological reviews and scientific literature) and electronic commerce (eg to mine customer reviews). Information content generally bears several important aspects, mapped onto visualisation dimensions, whose number needs to be reduced to enable relevant interactive exploration. In this paper, we propose a novel strategy to mine and organise document sets, in order to present them in a consistent manner and to highlight interesting and relevant information patterns they contain. We base our method on the formulation of a global optimisation problem solved by using the Traveling Salesman Problem (TSP) approach. We show how this compact formulation opens interesting possibilities for the mining of document collections mapped onto multidimensional information sets. We discuss the issue of scalability and show that associated scalable solutions exist. We demonstrate the effectiveness of our method over several types of documents, embedded into real business cases. © 2013 IEEE.

关键词： Information management

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EDIminer: A toolset for process mining from EDI messages 25

EDIminer: A toolset for process mining from EDI messages

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25th International Conference on Advanced Information systems Engineering, CAiSE 2013

作者： Engel, Robert Jagadeesh Chandra Bose, R.P. Pichler, Christian Zapletal, Marco Werthner, Hannes Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria Department of Mathematics and Computer Science Eindhoven University of Technology Eindhoven Netherlands

Organizations exchange data electronically to perform business transactions using Electronic Data Interchange (EDI). In order to gain insights on such transactions, approaches for inter-organizational business process mining based on the observation of exchanged EDI messages have been recently proposed. In recent approaches, however, only meta-information about the exchanged messages, such as message type, interchange time and sender/receiver information, has been used as data base for generating event logs. This neglects the opportunity of using business information from observed EDI messages to arrive at more detailed event logs, which in turn enable mining of detailed process models and fine-grained process performance analyses. In addressing this shortcoming, we present EDIminer, a toolset that allows for (i) enhanced visualization of contents of EDI messages, (ii) automatic and/or user-driven definition of mappings of EDI artifacts to events, (iii) generation of events from such mappings, (iv) semi-automatic correlation of events to process instances and (v) generation of industry-standard XES event logs for subsequent application of conventional process mining techniques. We demonstrate the utility of EDIminer by means of an exemplary EDI-based purchase order process based on real-world data.

关键词： Electronic data interchange

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Report on the CLEF-IP 2013 experiments: Multilayer collection selection on topically organized patents

Report on the CLEF-IP 2013 experiments: Multilayer collectio...

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2013 Cross Language Evaluation Forum Conference, CLEF 2013

作者： Giachanou, Anastasia Salampasis, Michail Satratzemi, Maya Samaras, Nikolaos University of Macedonia Department of Applied Informatics Thessaloniki Greece Vienna University of Technology Institute of Software Technology and Interactive Systems Vienna1040 Austria

This technical report presents the work which has been carried out using Distributed Information Retrieval methods for federated search of patent documents for the passage retrieval starting from claims (patentability or novelty search) task. Patent documents produced worldwide have manually-assigned classification codes which in our work are used to cluster, distribute and index patents through hundreds or thousands of sub-collections. For source selection, we tested CORI and a new col-lection selection method, the Multilayer method. We also tested CORI and SSL re-sults merging algorithms. We run experiments using different combinations of the number of collections requested and documents retrieved from each collection. One of the aims of the experiments was to test older DIR methods that characterize differ-ent collections using collection statistics like term frequencies and how they perform in patent search and in suggesting relevant collections. Also to experiment with Multi-layer, a new collection selection method that follows a multilayer, multi-evidence process to suggest collections taking advantage of the special hierarchical classifica-tion of patent documents. We submitted 8 runs. According to PRES @100 our best DIR approach ranked 6th across 21 submitted results.

关键词： Multilayers

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An ontology-aided optimization approach to eco-efficient building design

An ontology-aided optimization approach to eco-efficient bui...

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13th Conference of the International Building Performance Simulation Association, BS 2013

作者： Shayeganfar, Ferial Aiijomshoaa, Ainin Heurix, Johannes Sustr, Cliristian Ghiassi, Neda Pont, Ulrich Fenz, Stefan Neubauer, Thomas Tjoa, A Min Mahdavi, Ardeshir Department of Building Physics and Building Ecology Vienna University of Technology Vienna Austria Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria

Despite the advances in development of building performance simulation tools, their potential for performance-guided design has not been sufficiently exploited within the design community. This is in part due to the complexity of data accumulation for simulation purposes and the elaborate data entry modalities of available tools. The web undoubtedly contains extensive supplies of potentially useful information. However, the extraction and application of this data is hampered by lack of sufficient structure in the encapsulation and presentation of the information. The present paper reports on the progress of the SEMERGY project in exploring tins web-based potential using semantic web technology to extract and restructure building product information into an ontology integrated within a performance based design optimization environment. Copyright © 2011 by IPAC'11/EPS-AG.

关键词： Ontology

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8708卷

作者： Teufel, Stephanie Tjoa, A. Min You, Ilsun Weippl, Edgar University of Fribourg Iimt - International Institute of Management in Technology Fribourg Switzerland Vienna University of Technology Institute of Software Technology and Interactive Systems Vienna Austria Korean Bible University School of Informatic Science Seoul Korea Republic of Vienna University of Technology and SBA Research Institute of Software Technology in Interactive Systems Vienna Austria

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Message from the scientific program chair

Lecture Notes in Business Information Processing

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Lecture Notes in Business Information Processing 2013年 133 LNBIP卷 viii页

作者： Biffl, Stefan Vienna University of Technology Institute of Software Technology and Interactive Systems Vienna Austria

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Automatic data transformation-Breaching the walled gardens of social network platforms 9th

Automatic data transformation-Breaching the walled gardens o...

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9th Asia - Pacific Conference on Conceptual Modelling, APCCM 2013

作者： Wischenbart, Martin Mitsch, Stefan Kapsammer, Elisabeth Kusel, Angelika Lechner, Stephan Pröll, Birgit Retschitzegger, Werner Schönböck, Johannes Schwinger, Wieland Wimmer, Manuel Department of Cooperative Information Systems Johannes Kepler University Linz Austria Business Informatics Group Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria Netural GmbH Linz Austria

ISBN: (纸本)9781921770289

Although many social networks on the Web allow access via dedicated apis, the extraction of instance data for further use by applications is often a tedious task. As a result, instance data transformation to Linked Data in the form of owl, as well as the inte- gration with other data sources, are aggravated. To alleviate these problems, this paper proposes a model- driven approach to overcome data model heterogeneity by automatically transforming schemas and instance data from json to owl/xml, utilizing the semantic features of owl and Jena inference rules. We present a prototypical implementation on the basis of the Eclipse Modeling Framework. This implementation is applied and evaluated on data from Facebook, Google+, and LinkedIn. Finally, we provide prospects for semantic integration and managing evolution, as well as a discussion of how to generalize our approach to other domains and transformations between arbi- trary technical spaces. © 2013, Australian Computer Society, Inc.

关键词： Data integration

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Identifying Inter-organizational Key Performance Indicators from EDIFACT Messages

Identifying Inter-organizational Key Performance Indicators ...

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IEEE Conference on Commerce and Enterprise Computing, CEC

作者： Worarat Krathu Robert Engel Christian Pichler Marco Zapletal Hannes Werthner Institute of Software Technology and Interactive Systems Vienna University of Technology Austria

ISBN: (纸本)9781479908585

Inter-organizational relationships (IORs) are important for creating business potential and increasing business performance. The evaluation of IORs is necessary for analyzing the collaboration between businesses as well as for assessing business partners. However, the evaluation of IORs is ambiguous since it is usually measured by success factors, such as trust and information sharing, which are difficult to be measured quantitatively. In this paper, we propose using quantifiable Key Performance Indicators (KPIs) for measuring success factors. We aim to identify KPIs in inter-organizational scenarios where information is exchanged electronically based on EDIFACT message types. In particular, we i) derive inter-organizational KPIs and propose guidelines for their calculation from EDIFACT data elements, and ii) aggregate these KPIs to define quantitative measurements reflecting inter-organizational success factors. Therefore, we first define a method for the systematic selection of suitable data elements from EDIFACT message types based on frequency analysis. Second, we consider the semantics of data elements and message types in defining KPIs. Having these KPIs at hand supports the quantitative evaluation of success factors which in turn enables the evaluation of IORs.

关键词： Business Semantics Standards Syntactics Exchange rates Measurement units Aggregates

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ARES 2012 special issue

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Information Security Technical Report 2013年第4期17卷 129-130页

作者： Li, Shujun Weippl, Edgar Department of Computing Faculty of Engineering and Physical Sciences University of Surrey Guildford GU2 7XH United Kingdom SBA Research and Institute of Software Technology and Interactive Systems Vienna University of Technology Favoritenstraße 9-11/188 A-1040 Vienna Austria

We are proud to present this special issue of the Elsevier journal Information Security Technical Report, which contains eight of the most outstanding papers of ARES 2012 (7th International Conference on Availability, Reliability and Security) and co-located workshops held at the University of Economics in Prague, Czech Republic, from 20 to 24 August, 2012. Together, they span the whole gamut of the conference's topics, from access control and privacy to security issues, risk assessment, and digital forensics.

关键词： Technical Report access control Safety Problem Security economics E-discovery Privacy Workshops workshops computer information security international conference universities

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Business context sensitive business documents: Business context aware core components modeling using the E-UCM model

Business context sensitive business documents: Business cont...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Danijel Novakovic Christian Huemer Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria

Business document standards usually cover a hierarchical structure of thousands of elements that may be relevant in any business context (any industry, any geopolitical region, etc.). In order to use a business document standard in a specific context, user groups define so-called implementation guidelines based on a subset consisting usually of 3 - 5% of the overall elements. When one defines a new implementation guideline for a specific context, one has always to start from scratch, which is time-consuming and also leads to heterogeneous interpretations of the standard. It is our goal to speed up the development process and to create more homogeneous implementation guidelines by learning from existing models. In the previous phases of our research we have developed the Enhanced Unified Context (E-UCM) model to represent business context. If we could assign instances of this model to already existing business document implementation guidelines, we may guess the subset of a new implementation guideline for a required BC. Accordingly, this paper describes our approach to calculate the content model (subset) of a message implementation guideline which is relevant in a required BC presented by the E-UCM context model.

关键词： Business Context Guidelines Industries Context modeling Standards Automotive engineering

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