Abstract
Business documents directly exchanged between applications usually follow a certain business document standard. No matter whether these standards are traditional EDI standards or XML-based, they are very generic including all elements that may be of need to any company in this world. Before being used in a partnership, a subset of these elements has to be defined based on the business context (geopolitical region, industry, etc.). Usually the definition of these subsets—called Message Implementation Guidelines—starts from scratch, and, thus, is very time-consuming. In this paper we present an approach to explicitly assign context to the definition of Message Implementation Guidelines. This contextual information is also used to calculate a subset for to-be-developed Message Implementation Guidelines based on existing ones. The corresponding approach is supported by a prototype implementation.
Similar content being viewed by others
References
UN/CEFACT (2009) Core components technical specification CCTS, version 3.0. http://www.unece.org/fileadmin/DAM/cefact/codesfortrade/CCTS/, Sept 2009. Last Visit: Jan 2014
Novakovic D, Huemer C (2013) Contextualizing business documents. In: Proceedings of the 10th IEEE internationall conference on e-business engineering (ICEBE 2013), Coventry, UK
Novakovic D, Huemer C (2013) Business context sensitive business documents: business context aware core components modeling using the E-UCM model. In: Proceedings of the 11th IEEE international conference on industrial informatics (INDIN 2013), Bochum, Germany
Novakovic D, Huemer C (2013) Context aware business documents modeling. In: Brézillon P, Blackburn P, Dapoigny R (eds) Modeling and using context, vol 8175 of lecture notes in computer science. Springer, Berlin, pp 357–363
Novakovic D, Huemer C, Pichler C (2013)Context model for business context sensitive business documents. In: Brézillon P, Blackburn P, Dapoigny R (eds) Modeling and using context, vol 8175 of lecture notesin computer science. Springer, Berlin, pp 336–342
Schilit BN, Theimer MM (1994) Disseminating active map information to mobile hosts. IEEE Netw 8(5):22–32
Brown PJ, Bovey JD, Chen X (1997) Context-aware applications: from the laboratory to the marketplace. IEEE Pers Commun 4(5):58–64
Dey Anind K, Abowd Gregory D, Wood Andrew (1998) Cyberdesk: a framework for providing self-integrating context-aware services. Knowl Syst 11(1):3–13
Bazire M, Brézillon P (2005) Understanding context beforeusing it. In: Dey A, Kokinov B, Leake D, Turner R (eds) Modeling and using context: 5th international and interdisciplinary conference, Springer, Berlin, pp 29–40
Parker JE, Hollister DL, Gonzalez AJ, BrézillonP, Parker ST (2013) Looking for a synergy between human and artificial cognition. In: Brézillon P, Blackburn P, Dapoigny R (eds) Modeling and using context,volume 8175 of Lecture notes in computer science, SpringerBerlin, pp 45–58
Klemke R (2000) Context framework—an open approach to enhance organisational memory systems with context modelling techniques. In: PAKM 2000, third international conference on practical aspects of knowledge management, proceedings of the third international conference, Basel, Switzerland, Oct 30–31, 2000
Clark H (1992) Arenas of language use. University of Chicago Press, Chicago
Brown PJ (1996) The stick-e document: a framework for creating context-aware applications. In: Proceedings of EP”96, Palo Alto, pp 259–272, also published in it EP-odd, Jan 1996
Ward A, Jones A, Hopper A (1997) A new location technique for the active office. IEEE Pers Commun 4(5):42–47
Harter A, Hopper A, Steggles P, Ward A, Webster P (2002) The anatomy of a context-aware application. Wirel Netw 8(2–3):187–197
Flachsbart J, Franklin D, Hammond K (2000) Improving human computer interaction in a classroom environment using computer vision. In: Proceedings of the 5th international conference on intelligent user interfaces, IUI ’00, ACM, New York, NY, USA, pp 86–93
Hull R, Neaves P, Bedford-Roberts J (1997) Towards situated computing. In: ISWC, pp 146–153
Dey AK, Abowd GD (2000) Towards a better understanding of context and context-awareness. In: Workshop on the what, who, where, when, and how of context-awareness, as part of the conference on human factors in computing systems (CHI 2000), April 2000
Guo J (2006) Inter-enterprise business document exchange. In: Proceedings of the 8th international conference on electronic commerce: the new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successfulbusiness on the internet, ICEC ’06, ACM, New York, NY, USA, pp 427–437
Glushko RJ, McGrath T (2002) Document engineering for e-business. In: Proceedings of the 2002 ACM symposium on document engineering, DocEng ’02, ACM, New York, NY, USA, pp 42–48
Omelayenko B (2001) Preliminary ontology modeling for b2b content integration. In: Proceedings of the 12th international workshop on database and expert systems applications, 2001, pp 7–13
Strommer M, Pichler C, Liegl P (2010) A document model management framework based on core components. In: 2010 IEEE 12th conference on commerce and enterprise computing (CEC), Nov 2010, pp 72–79
UN/CEFACT (2014) Unified context methodology technical specification. http://www1.unece.org/cefact/platform/dashboard.action, Jan 2011. Last visit: Jan 2014
Ejigu D, Scuturici V-M, Brunie L (2007) An ontology-based approach to context modeling and reasoning in pervasive computing. In: PerCom workshops, pp 14–19
Gu T, Wang XH, Pung HK, Zhang DQ (2004) An ontology-based context model in intelligent environments. In: Proceedings of communication network and distributed systems modeling and simulation conference, pp 270–275
Hwang W, Park J, Suh H, Kim HW, Suh IH (2006) Ontology-based framework of robot context modeling and reasoning for object recognition. In: FSKD, pp 596–606
Fuchs S, Rass S, Lamprecht B, Kyamakya K (2008) A model for ontology-based scene description for context-aware driver assistance systems. In: Proceedings of the 1st international conference on ambient media and systems, Ambi-Sys ’08, Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST), Brussels, Belgium, pp 5:1–5:8
Ko EJ, Lee HJ, Lee JW (2007) Ontology-based context modeling and reasoning for u-healthcare. IEICE Trans 90–D(8):1262–1270
De S, Moessner K (2008) Ontology-based context inference and query for mobile devices. In: PIMRC, pp 1–5
Caracciolo C, Sucasas MI, Keizer J (2008) Towards interoperability of geopolitical information within FAO. Comput Inform 27(1):119–129
Department of Economic and Social Affairs Statistics Division (2009) International standard industrial classification of all economic activities (ISIC), revision 4. United Nations Publications
Heath T, Bizer C (2011) Linked data: evolving the web into a global data space. Synthesis lectures on the semantic web.Morgan & Claypool Publishers
Auer Sören, Bizer C, Kobilarov G, Lehmann J, Cyganiak R, Ives Z (2007) DBpedia: A nucleus for a web of open data. In: Aberer K, Choi K-S, Noy NF, Allemang D, Lee K-I, Nixon LJB, Golbeck J, Mika P, Maynard D, Mizoguchi R, Schreiber G, Cudré-Mauroux P (eds) 6th international semantic web conference (ISWC 2007), vol 4825 of lecture notes in computer science, Busan, Korea, pp 722–735, Nov 2007
Yoshioka M, Kando N, (2012) Issues for linking geographical open data of geonames and wikipedia. In: Takeda H, Qu Y, Mizoguchi R, Kitamura Y (eds) JIST, vol 774 of lecture notes in computer science. Springer, pp 375–381
Sohn J-S, Chung I-J (2013) Dynamic FOAF management method for social networks in the social web environment. J Supercomput 66(2):633–648
Rudolph S (2011) Foundations of description logics. In: Reasoning web. pp 76–136
UN/CEFACT (2009) UN/CEFACT XML naming and design rules technical specification version 3.0. http://www.unece.org/cefact/xml/UNCEFACT+XML+NDR+V3p0.pdf, Last visit: Jan 2014
Rubin DL, Knublauch H, Fergerson RW, Dameron O, Musen M A Protégé-OWL: creating ontology-driven reasoning applications with the web ontology language
Sirin E, Parsia B, Grau BC, Kalyanpur A, Katz Y (2007) Pellet: a practical OWL-DL reasoner. J Web Sem 5(2):51–53
HP Labs (2004) Jena—a semantic web framework for Java. http://jena.sourceforge.net/. Last visit Jan 2014
W3C SPARQL Working Group (2011) SPARQL 1.1 overview. World wide web consortium, working draft WD-sparql11-overview-20111117, Nov 2011
Clark KG, Feigenbaum L, Torres E (2008) SPARQL protocol for RDF. World Wide Web Consortium, Recommendation REC-rdf-sparql-protocol-20080115, Jan 2008
Hevner A, Chatterjee S (2010) Design research in information systems. Springer, New York
Strang T, Linnhoff-Popien C (2004) A context modeling survey. In: Workshop on advanced context modelling, reasoning and management, UbiComp 2004—the sixth international conference on ubiquitous computing, Nottingham, UK
Bolchini C, Curino CA, Quintarelli E, Schreiber FA, Tanca L (2007) A data-oriented survey of context models. ACM SIGMOD Rec 36(4):19–26
Baldauf M, Dustdar S, Rosenberg F (2007) A survey on context-aware systems. Int J Ad Hoc Ubiquitous Comput 2(4):263–277
Korpipaa P, Mantyjarvi J, Kela J, Keranen H, Malm E-J (2003) Managing context information in mobile devices. IEEE Pervasive Comput 2(3):42–51
Ye J, Coyle L, Dobson S, Nixon P (2007) Ontology-based models in pervasive computing systems. ACM Knowl Eng Rev 22(4):315–347
Hervás R, Bravo J, Fontecha J (2010) A context model based on ontological languages: a proposal for information visualization. J UCS 16(12):1539–1555
Krummenacher R, Strang T (2007) Ontology-based context modeling. In: Workshop on context-aware proactive systems
Moore P, Hu B, Zhu X, Campbell W, Ratcliffe M (2007) A survey of context modeling for pervasive cooperative learning. In: First IEEE international symposium on information technologies and applications in education, 2007, ISITAE ’07, pp K5-1-K5-6, Nov 2007
Wang X, Zhang D, Gu T, Pung HK (2004) Ontology based context modeling and reasoning using OWL. In: PerCom workshops. IEEE Computer Society, pp 18–22
Kashyap V, Bussler C, Moran M (2008) The semantic web, semantics for data and services on the web. Springer, Berlin
Salton G (1989) Automatic Text processing: the transformation, analysis, and retrieval of information by computer. Addison-Wesley Longman Publishing Co., Inc., Boston
Moens M-F (2006) Evaluation of information extractiontechnologies. In: Information extraction: algorithms and prospects in a retrieval context, vol 21. Springer, Dordrecht, pp 179–197
Lin S-H, Ho J-M (2002) Discovering informative contentblocks from web documents. In: Proceedings of the eighth ACM SIGKDD international conference on knowledge discovery and data mining, KDD ’02, ACM, New York, NY, USA, pp 588–593
Sheth B, Maes P (1993) Evolving agents for personalized information filtering. In: Proceedings of the ninth conference on artificial intelligence for applications, 1993. pp 345–352, March 1993
Vienna PhD School of Informatics http://www.informatik.tuwien.ac.at/teaching/phdschool
Acknowledgments
The research is financially supported by the Vienna PhD School of Informatics [58].
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Novakovic, D., Huemer, C. Applying business context to calculate subsets of business document standards. Inf Technol Manag 17, 203–227 (2016). https://doi.org/10.1007/s10799-015-0228-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10799-015-0228-2