Semantic Annotation for Process Models: - Department of Computer ...
Semantic Annotation for Process Models: - Department of Computer ... Semantic Annotation for Process Models: - Department of Computer ...
228 BIBLIOGRAPHY [65] Håvard D. Jørgensen. Interactive process models. PhD thesis, Norwegian University of Science and Technology, 2004. [66] Vipul Kashyap and Amit P. Sheth. Semantic and schematic similarities between database objects: A context-based approach. VLDB Journal: Very Large Data Bases, 5(4):276–304, 1996. [67] Steven Kelly and Juha-Pekka Tolvanen. Visual domain-specific modeling: Benefits and experiences of using metacase tools. In J. Bezivin, J. Ernst(Eds.) Proc. of the International workshop on Modeling Engineering, ECOOP, 2000. [68] Larry Kerschberg and Doyle Weishar. Conceptual models and architectures for advanced information systems. Applied Intelligence, 13(2):149–164, 2000. [69] Ekkart Kindler. On the semantics of EPCs: A framework for resolving the vicious circle. Technical report, Institue fur Informatk, Universitat Paderborn, 2003. [70] Atanas Kiryakov, Borislav Popov, Ivan Terziev, Dimitar Manov, and Damyan Ognynoff. Semantic annotation, indexing, and retrieval. Journal of Web Semantics, 2(1), 2005. [71] KM. The knowledge machine. http://www.cs.utexas.edu/users/mfkb/RKF/km. html, Last Visited: 2007.6.12. [72] Paul Kogut and William Holmes. AeroDAML: Applying information extraction to generate DAML annotations from web pages. In Proc. of the 1st International Conference on Knowledge Capture (K-CAP 2001), 2001. [73] John Krogstie, Odd Ivar Lindland, and Guttorm Sindre. Defining quality aspects for conceptual models. In Proc. of the IFIP international Working Conference on Information System Concepts, pages 216–231, London, UK. Chapman & Hall, Ltd., 1995. [74] John Krogstie. Using quality function development in software requirements specification. In Proc. of the 5th International Workshop on Requirements Engineering: Foundations for Software Quality (REFSQ 1999), pages 171–185, 1999. [75] John Krogstie. Using a semiotic framework to evaluate UML for the development of models of high quality. Unified Modeling Language: Systems Analysis, Design and Development Issues, pages 89–106. IGI Publishing, 2001. [76] John Krogstie and Arne Sølvberg. Information Systems Engineering: Conceptual Modeling in a Quality Perspective. Norwegian University of Science and Technology, Trondheim (NTNU). Unpublished book, 2003. [77] John Krogstie and Håvard D. Jørgensen. Interactive models for supporting networked organisations. In Proc. of the 16th International Conference on Advanced Information Systems Engineering, pages 550–562. LNCS 3084, Springer-Verlag, 2004.
BIBLIOGRAPHY 229 [78] John Krogstie and Sofie de Flon Arnesen. Assessing enterprise modeling languages using a generic quality framework. Information Modeling Methods and Methodologies, pages 63–79. Idea Group Publishing, 2005. [79] John Krogstie, Csaba Veres, and Guttorm Sindre. Integrating semantic web technology, web services, and workflow modeling achieving system and business interoperability. In International Journal of Enterprise Information Systems, 3(1):22–41, 2007. [80] John Krogstie. Integrated goal, data and process modeling: from TEMPORA to model-generated work-places. In Paul Johannesson and Eva Soderstrom (Eds.) Information Systems Engineering: From Data Analysis to Process Networks, IGI publishing, in print, 2008. [81] Ontotext Lab. The KIM platform: Semantic annotation. http://www.ontotext. com/kim/semanticannotation.html, Last Visited: 2007.5.12. [82] Charles Lakos. From Coloured Petri Nets to Object Petri Nets. In Proc. of the Application and Theory of Petri Nets, pages 278–297.LNCS 935, Springer-Verlag, Berlin, Germany, 1995. [83] Charles Lakos. Pragmatic inheritance issues for object Petri Nets. In Proc. of TOOLS Pacific Conference, 1995. [84] James A. Larson, Shamkant B. Navathe, and Ramez Elmasri. A theory of attributed equivalence in databases with application to schema integration. IEEE Transactions on Software Engineering, 15(4):449–463, 1989. [85] Jintae Lee, Gregg Yost, and the PIF Working Group. The PIF process interchange format and framework. Technical report, MIT Center for Coordination Science, 1994. [86] Maurizio Lenzerini. Data integration: a theoretical perspective. In Proc. of the 21st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS 2002), pages 233–246, New York, NY, USA. ACM Press, 2002. [87] Mauri Leppänen. An ontological framework and a methodical skeleton for method engineering — a contextual approach. PhD thesis, University of Jyväskylä, Jyväskylä, Finland, 2005. [88] Alon Y. Levy. Combining artificial intelligence and database for data integration. In Artificial Intelligence Today: Recent Trends and Developments, pages 249–268, Berlin/Heidelberg, LNCS 1600, Springer. 1999. [89] Alon Y. Levy, Anand Rajaraman, and Joann J. Ordille. Querying heterogeneous information sources using source descriptions. In Proc. of the 22nd International Conference on Very Large Databases, pages 251–262, Bombay, India. VLDB Endowment, Saratoga, California. 1996.
- Page 197 and 198: A.6. BPMN META-MODEL TREE IN METIS
- Page 199 and 200: Appendix B EEML 2005 The language v
- Page 201 and 202: B.2. RECOURSES MODELING DOMAIN 181
- Page 203 and 204: Appendix C SCOR SCOR — Supply Cha
- Page 205 and 206: C.2. LEVEL 2 TOOLKIT 185 Level 1 Me
- Page 207 and 208: C.3. LEVEL 3 PROCESS ELEMENTS 187 F
- Page 209 and 210: Appendix D Algorithm for Semi-Autom
- Page 211 and 212: 191 Algorithm 1 Goal Annotation Alg
- Page 213 and 214: Algorithm 4 Goal Annotation Algorit
- Page 215 and 216: 195 Algorithm 6 Goal Annotation Alg
- Page 217 and 218: Appendix E GUI of Pro-SEAT The prop
- Page 219 and 220: 199 Figure E.3: Mapping meta-model
- Page 221 and 222: 201 Figure E.5: Goal annotation UI
- Page 223 and 224: Appendix F Analysis of the Annotati
- Page 225 and 226: F.2. INTEGRATION APPLICATION BASED
- Page 227 and 228: F.2. INTEGRATION APPLICATION BASED
- Page 229 and 230: Appendix G Schema of PSAM and SWRL
- Page 231 and 232: G.1. PSAM IN OWL 211
- Page 233 and 234: G.2. RULE DEFINITIONS IN SWRL 213
- Page 235 and 236: G.2. RULE DEFINITIONS IN SWRL 215
- Page 237 and 238: Appendix H Annotation Results in Ex
- Page 239 and 240: H.2. ANNOTATION OF PM B1 219 xmlns:
- Page 241 and 242: H.3. ANNOTATION OF PM B2 221 Av
- Page 243 and 244: Bibliography [1] ALTOVA. What is th
- Page 245 and 246: BIBLIOGRAPHY 225 [26] Dov Dori. Why
- Page 247: BIBLIOGRAPHY 227 [52] Ian Horrocks.
- Page 251 and 252: BIBLIOGRAPHY 231 [102] Diana Maynar
- Page 253 and 254: BIBLIOGRAPHY 233 [129] OASIS Cover
- Page 255 and 256: BIBLIOGRAPHY 235 [157] Colette Roll
- Page 257 and 258: BIBLIOGRAPHY 237 [185] Systems Thin
- Page 259: BIBLIOGRAPHY 239 [214] John.A. Zach
BIBLIOGRAPHY 229<br />
[78] John Krogstie and S<strong>of</strong>ie de Flon Arnesen. Assessing enterprise modeling languages<br />
using a generic quality framework. In<strong>for</strong>mation Modeling Methods and<br />
Methodologies, pages 63–79. Idea Group Publishing, 2005.<br />
[79] John Krogstie, Csaba Veres, and Guttorm Sindre. Integrating semantic web<br />
technology, web services, and workflow modeling achieving system and business<br />
interoperability. In International Journal <strong>of</strong> Enterprise In<strong>for</strong>mation Systems,<br />
3(1):22–41, 2007.<br />
[80] John Krogstie. Integrated goal, data and process modeling: from TEMPORA to<br />
model-generated work-places. In Paul Johannesson and Eva Soderstrom (Eds.)<br />
In<strong>for</strong>mation Systems Engineering: From Data Analysis to <strong>Process</strong> Networks, IGI<br />
publishing, in print, 2008.<br />
[81] Ontotext Lab. The KIM plat<strong>for</strong>m: <strong>Semantic</strong> annotation. http://www.ontotext.<br />
com/kim/semanticannotation.html, Last Visited: 2007.5.12.<br />
[82] Charles Lakos. From Coloured Petri Nets to Object Petri Nets. In Proc. <strong>of</strong> the<br />
Application and Theory <strong>of</strong> Petri Nets, pages 278–297.LNCS 935, Springer-Verlag,<br />
Berlin, Germany, 1995.<br />
[83] Charles Lakos. Pragmatic inheritance issues <strong>for</strong> object Petri Nets. In Proc. <strong>of</strong><br />
TOOLS Pacific Conference, 1995.<br />
[84] James A. Larson, Shamkant B. Navathe, and Ramez Elmasri. A theory <strong>of</strong> attributed<br />
equivalence in databases with application to schema integration. IEEE<br />
Transactions on S<strong>of</strong>tware Engineering, 15(4):449–463, 1989.<br />
[85] Jintae Lee, Gregg Yost, and the PIF Working Group. The PIF process interchange<br />
<strong>for</strong>mat and framework. Technical report, MIT Center <strong>for</strong> Coordination Science,<br />
1994.<br />
[86] Maurizio Lenzerini. Data integration: a theoretical perspective. In Proc. <strong>of</strong> the<br />
21st ACM SIGMOD-SIGACT-SIGART Symposium on Principles <strong>of</strong> Database<br />
Systems (PODS 2002), pages 233–246, New York, NY, USA. ACM Press, 2002.<br />
[87] Mauri Leppänen. An ontological framework and a methodical skeleton <strong>for</strong> method<br />
engineering — a contextual approach. PhD thesis, University <strong>of</strong> Jyväskylä,<br />
Jyväskylä, Finland, 2005.<br />
[88] Alon Y. Levy. Combining artificial intelligence and database <strong>for</strong> data integration.<br />
In Artificial Intelligence Today: Recent Trends and Developments, pages 249–268,<br />
Berlin/Heidelberg, LNCS 1600, Springer. 1999.<br />
[89] Alon Y. Levy, Anand Rajaraman, and Joann J. Ordille. Querying heterogeneous<br />
in<strong>for</strong>mation sources using source descriptions. In Proc. <strong>of</strong> the 22nd International<br />
Conference on Very Large Databases, pages 251–262, Bombay, India. VLDB Endowment,<br />
Saratoga, Cali<strong>for</strong>nia. 1996.
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