Information and Knowledge Management using ArcGIS ModelBuilder

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Bernardo Gomes, André Vasconcelos and Pedro Sousa projected; publics vs. private. Those different type of data determine the data access features and also of its management information systems. Taking in consideration those dimensions, we have the following type of data: primitive data; derived data; historic data; projected data; public data; private data. 4. Information Architecture based on enterprise ontologies The solution proposed in this work is DEMO based, allowing the creation of an IA for the considered ontological world. This solution might be organized and described in a sequential set of steps. Most of them are from DEMO methodology, and the others are additions made in order to achieve our aim. Figure 3: The proposed methodology The purpose of each step of the methodology (Figure 3) might be described as follows: Step I – Identify and separate Performa, Informa and Forma items. Step II – Identify actor roles, C-acts/facts and P-acts/results. Step III – Cluster facts and results into transactions; depicts their results. Step IV – Identify information entities and attributes based on the result types of each transaction; classify attributes using Inmon taxonomy. Step V – Identify dependencies between transactions; identify relationships between entities. Step VI – Create an E-R model to describe the IA. 4.1 Example In order to better understand the proposed methodology it will be described an example based on the library example case used by Dietz (2006), about the operation of a typical library, including the possibility to be a member of it, loan books, etc. The first two steps, described in (Dietz, 2006), regard both the performa-informa-forma analysis and the coordination-actors-production analysis. Based on those steps, the third step of the proposed methodology depicts the transactions that describe the scenario. The result of step III is detailed in Table 1, which also includes a part of step IV, (entities and attributes depicted in green and red, respectively. Table 1: Step III of the proposed methodology 612
Bernardo Gomes, André Vasconcelos and Pedro Sousa Step IV (Table 2) identifies the information entities and attributes (classified by Inmon taxonomy). Table 2: Step IV of the proposed methodology for the library example Step V of the proposed methodology, described in Figure 4, applies the structure analysis of DEMO. Figure 4: Step V of the proposed methodology for the library example Finally, step VI describes the E-R model for this basic IA, depicted in Figure 5. Figure 5: Step VI of the proposed methodology for the library example 613
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Proceedings of the 5th European Con
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Contents Paper Title Author(s) Page
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Paper Title Author(s) Page No. Cont
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Preface The 5th European Conference
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Dr Jorge Ricardo da Costa Ferreira
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LSE while working at the British St
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Minna Isomursu, PhD, is a research
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Elmarie Papageorgiou is a Senior Le
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Information and Knowledge Managemen
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João Agrela et al. So modeling bec
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João Agrela et al. ETRS 89 project
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João Agrela et al. (accidents) tha
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Figure 8: Final model João Agrela
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João Agrela et al. outputs and res
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System Integration Model Based on O
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Kamsuriah Ahmad, Azwan Mohamed and
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Kamsuriah Ahmad, Azwan Mohamed and
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Building Virtual Communities on top
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Cuneyt Gurcan Akcora, Barbara Carmi
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References Cuneyt Gurcan Akcora, Ba
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Karen Anderson, Göran Samuelsson a
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Developing a Model for Assessing IT
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Mohammad Abooyee Ardakan et al. Fig
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Mohammad Abooyee Ardakan et al. cor
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Investigating the Relationship of M
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Mohammad Abooyee Ardakan, Babak Soh
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Table 3: Goodness of fit indices Mo
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Evaluation of ICT Investment in Hea
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Figure 1: Search strategy for syste
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A. Arviansyah, Egon Berghout and Ch
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Managerial A. Arviansyah, Egon Berg
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The Uses of Business Outcomes for I
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Dawit Asmelash Measurability of th
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Dawit Asmelash affected business pr
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Business Units HR Sales Step 2 Iden
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Dawit Asmelash In this case, at thi
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Data Governance in Practice: The SM
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Carolyn Begg and Tom Caira Our rese
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Carolyn Begg and Tom Caira In the f
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Carolyn Begg and Tom Caira Decision
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Carolyn Begg and Tom Caira SMEs nee
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Fergal Carton et al. The language u
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Fergal Carton et al. 2008) to abstr
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Payment integration (payment produc
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Fergal Carton et al. Kim,C., Mirsob
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Walter Castelnovo devised for, have
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Walter Castelnovo the potential ris
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Walter Castelnovo allow the informa
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Walter Castelnovo Risk assessment,
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Embedding Human Values Into Informa
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Sunil Choenni, Peter van Waart and
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Evaluating the Role and Potential o
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Renata Paola Dameri For these reaso
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Final assessment and evaluation. Re
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Renata Paola Dameri STRATEGIC GOALS
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Renata Paola Dameri To clearly com
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ICT and PA: A Marriage Made in Heav
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Maria Concetta De Vivo, Alberto Pol
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Jan Devos, Hendrik Van Landeghem an
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References Jan Devos, Hendrik Van L
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Luciana Duranti and Adam Jansen Dig
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Luciana Duranti and Adam Jansen A
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References Luciana Duranti and Adam
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Kate Dymoke-Bradshaw and Ann Brown
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Graham Fletcher and Marie Cahillane
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How Open Source Software Products:
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Chiara Friso, Valentina Lenarduzzi,
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Il giornale elettronico (Trivella,
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Yuwanuch Gulatee and Barbara Combes
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Table 1: Wholly online participants
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Florian Hamel, Thomas Ph. Herz, Fal
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Martin Hill, John Salt and Graham F
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Transforming Information to Knowled
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Vered Holzmann and Ben Holzmann Tot
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Vered Holzmann and Ben Holzmann kno
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Vered Holzmann and Ben Holzmann Prz
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Grant Howard and Sam Lubbe High-lev
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3. Theoretical discussion 3.1 Green
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Grant Howard and Sam Lubbe 3.6 Envi
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Grant Howard and Sam Lubbe Easterbr
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Evaluating ICT Based Services for O
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Minna Isomursu and Marja Harjumaa t
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4.2 Challenges with research method
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Minna Isomursu and Marja Harjumaa b
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The Geography of Criminality - Info
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Intelligence Paulo João, Jorge Fer
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4.1 Crime hot-spots Paulo João, Jo
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Paulo João, Jorge Ferreira and Jos
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Mobile Virtual Network Operator Inf
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Hallur Leivsgarð Joensen and Torbe
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Björn Johansson and Linda Bergkvis
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A Fair Partnership Model by Sharing
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Ghassan Kbar 2. Partnership and VC
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Ghassan Kbar Entering state of the
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Ghassan Kbar Saudi-chamber, (2011)
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Ghassan Kbar and Abdul Aziz AlDusar
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Dong-Hyun Kim and Hyun-Joo Kim We i
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Dong-Hyun Kim and Hyun-Joo Kim As a
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Dong-Hyun Kim and Hyun-Joo Kim We m
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Erdem Kirkbesoglu and Gizem Ogutcu
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Portfolio Management in Non-Profit
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Bert Kleersnijder and Egon Berghout
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Why is an IS Project Late? - A Case
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2. The project 2.1 Background and r
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Juha Kontio Phase In stallation Ope
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Table 2: Identified reason of the p
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Juha Kontio There are also reasons
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2. Performance review model for NDP
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Misoo Kwon Among the review indicat
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Type Average time saved Misoo Kwon
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Luigi Lavazza In conclusion, when a
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Luigi Lavazza The former can be de
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Luigi Lavazza For each process, we
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6. Conclusions Luigi Lavazza When e
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eBusiness Model Design and Evaluati
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Monika Magnusson categories of busi
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Monika Magnusson Business Model Ele
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5.2 Guiding questions Monika Magnus
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Monika Magnusson Hay, M. and Kamsha
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Monika Magnusson and Marie-Therese
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4.3 Goals at the project level Moni
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Alignment in Enterprise Architectur
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Thanos Magoulas, Aida Hadzic, Ted S
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3.4 Infological alignment Thanos Ma
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Panagiotis Manolitzas et al. to Gov
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Panagiotis Manolitzas et al. Anothe
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Table 1: Criteria weights and satis
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Panagiotis Manolitzas et al. Satisf
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Understanding the Impact of Knowled
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Magdeline Mashilo and Tiko Iyamu Ac
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Magdeline Mashilo and Tiko Iyamu Cu
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Magdeline Mashilo and Tiko Iyamu Th
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Magdeline Mashilo and Tiko Iyamu Ho
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2. Literature review 2.1 The Batik
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Nor Laila Md Noor and Ariza Nordin
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Nor Laila Md Noor and Ariza Nordin
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Isolated Strategies Nor Laila Md No
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HOT-fit Evaluation Framework: Valid
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Maryati Mohd Yusof In order to vali
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Maryati Mohd Yusof Further framewor
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Maryati Mohd Yusof Kaplan, B., and
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Gunilla Myreteg social context (Orl
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Gunilla Myreteg needed routine. Ano
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Gunilla Myreteg used, which in turn
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Environmental Scanning Practice of
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Roslina Othman and Siti Rohimi Hame
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5. Conclusion Roslina Othman and Si
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Understanding Financial and non-Fin
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Elmarie Papageorgiou and Herman de
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Type of non-financial information a
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Shabnam Pasandide, Abbas Toloie Esh
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Can eGovernment Systems Bridge the
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Higher quality of services Elias Pi
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Elias Pimenidis, Lazaros Iliadis, a
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Elias Pimenidis, Lazaros Iliadis, a
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Contributions to the Measurement an
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Rui Alexandre Pires and Maria do C
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assessment Rui Alexandre Pires and
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Rozilawati Razali and Mahamsiatus K
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Figure 1: Research design 3.2 Phase
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David Sammon, Tadhg Nagle and John
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Teresa Santos, Ségio Freire and Jo
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Reflections on the Role of the Lect
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3. Reflective practice Elsje Scott,
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Elsje Scott, Peter Weimann and Nata
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Elena Serova traditional ERP manage
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Elena Serova Increase in percentag
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9. Conclusion Elena Serova At prese
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Sharina Tajul Urus, Alemayehu Molla
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4.2 Description of feral systems Sh
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Sharina Tajul Urus, Alemayehu Molla
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Type Sharina Tajul Urus, Alemayehu
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Open Source Disease Control Softwar
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Jose Teixeira and Reima Suomi do no
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Jose Teixeira and Reima Suomi from
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Jose Teixeira and Reima Suomi Futur
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Value of Knowledge Management Syste
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Nelly Todorova Human capital repres
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Nelly Todorova IT value from pure f
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Nelly Todorova unique and inimitabl
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Accountability and the Reconstructi
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Geert-Jan van Bussel cluding the pr
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Geert-Jan van Bussel (e.g., Wijnhov
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Geert-Jan van Bussel complementary,
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The Question of Selecting Appropria
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Bartosz Wachnik We can discern two
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Bartosz Wachnik Table 1: Criteria o
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Tasks in an ERP implementation proj
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Bartosz Wachnik Tests’ recapitul
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PhD Research Papers 501
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Information Systems for Production
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Denisa Ferenčíková 3. Correctly
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Denisa Ferenčíková method requir
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Denisa Ferenčíková mentioned typ
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1.2 Service oriented architecture A
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Antonio Hidalgo Landa, Ian Owens an
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Hesbon Nyagowa, Dennis Ocholla and
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The Specification of Competency Que
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Yadary Ortega-González et al. Figu
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Yadary Ortega-González et al. merg
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Yadary Ortega-González et al. Comp
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Yadary Ortega-González et al. Lysa
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Michal Pivnička to (Collis 2008),
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Figure 2: List of scorecards window
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Michal Pivnička A Custom view (fig
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Michal Pivnička necessary calculat
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Michal Pivnička combines two or mo
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Michal Pivnička When any informati
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Challenges in Business Case Develop
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Bart-Jan van Putten, Franziska Brec
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Page 611 and 612: Information Management Enabling Col
Page 613 and 614: Maria Bergenstjerna Data will be co
Page 615 and 616: 2. Methodology Giovanni Camponovo R
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Page 619 and 620: Giovanni Camponovo A graphical summ
Page 621 and 622: Giovanni Camponovo 3.5 Motivations
Page 623 and 624: Giovanni Camponovo Butler, B., Spro
Page 625 and 626: An Enterprise Ontology Approach for
Page 627: Bernardo Gomes, André Vasconcelos
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Page 633 and 634: Soudabeh Khodambashi and Maryati Mo
Page 635 and 636: National ICT Strategy and its Imple
Page 637 and 638: Ermelinda Kordha and As. Kozeta Sev
Page 639 and 640: João Soares, José Tribolet and An
Page 641: João Soares, José Tribolet and An
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