![](bgb.png)
Bughin, J. and Chui, M. (2010). The rise of the networked
enterprise: Web 2.0 finds its payday. McKinsey quar-
terly, 4:3–8.
Chan, S. W. K. (2003). Dynamic context generation
for natural language understanding: A multifaceted
knowledge approach. IEEE Transactions on systems,
man, and Cybernetics - Part A: Systems and Humans,
33(1):23–41.
Cisco (2014). Cisco global cloud index: Forecast and
methodology: 2013 - 2018. White paper, Cisco Sys-
tems Inc.
de Gerlachey, M., Sperdutiz, A., and Staritaz, A. (1994).
Using labeling raam to encode medical conceptual
graphs. NNESMED’94 proceedings.
Diallo, G. (2014). An effective method of large scale on-
tology matching. Journal of Biomedical Semantics,
5:44.
Eder, J. and Wiggisser, K. (2007). Detecting changes in
ontologies via DAG comparison. In Lecture Notes in
Computer Science 4495, pages 21–35.
Ellingsen, B. K. (1997). Distributed representations of
object-oriented specifications for analogical mapping.
Technical report, Citeseer.
Erl, T. (2004). Service-oriented architecture: a field guide
to integrating XML and web services. Prentice Hall
PTR.
Erl, T., Chelliah, P., Gee, C., Kress, J., Maier, B., Normann,
H., Shuster, L., Trops, B., Utschig, C., Wik, P., and
Winterberg, T. (2014). Next Generation SOA: A Con-
cise Introduction to Service Technology & Service-
Orientation. The Prentice Hall Service Technology
Series from Thomas Erl. Pearson Education.
Euzenat, J. and Shvaiko, P. (2007). Ontology Matching.
Springer.
Euzenat, J. and Shvaiko, P. (2013). Ontology Matching.
Springer, 2 edition.
Fensel, D. and Bussler, C. (2002). The web service model-
ing framework wsmf. Electronic Commerce Research
and Applications, 1(2):113–137.
Fensel, D., Facca, F. M., Simperl, E., and Toma, I. (2011).
Semantic web services. Springer Science & Business
Media.
Frank, R. and Cartwright, E. (2013). Microeconomics and
Behaviour. McGraw Hill.
Hinton, G., McClelland, J., and Rumelhart, D. (1986).
Distributed representations, volume 1, pages 77–109.
MIT Press.
Hoang, H. H., Jung, J. J., and Tran, C. P. (2014). Ontology-
based approaches for cross-enterprise collaboration:
A literature review on semantic business process man-
agement. Enterprise Information Systems, 8(6):648–
664.
Hoang, H. H. and Le, M. T. (2009). Bizkb: A concep-
tual framework for dynamic cross-enterprise collabo-
ration. In Nguyen, N. T., Kowalczyk, R., and Chen,
S.-M., editors, ICCCI, volume 5796 of Lecture Notes
in Computer Science, pages 401–412. Springer.
Hussain, M. A. and Mastan, M. (2014). A study on se-
mantic web services and its significant trends. IJCER,
3(5):234–237.
Izza, S. (2009). Integration of industrial information
systems: from syntactic to semantic integration ap-
proaches. Enterprise Information Systems, 3(1):1–57.
Kale, V. (2014). Guide to Cloud Computing for Business
and Technology Managers: From Distributed Com-
puting to Cloudware Applications. Taylor & Francis.
Kotis, K., Vouros, G., and Stergiou, K. (2006). Towards
automatic merging of domain ontologies: The hcone-
merge approach. Journal of Web Semantics (JWS),
4:60–79.
LeCun, Y., Bengio, Y., and Hinton, G. (2015). Deep learn-
ing. Nature, 521(7553):436–444.
Lehaney, B., Lovett, P., and Shah, M. (2011). Business in-
formation systems and technology: a primer. Rout-
ledge.
Li, W., Raskin, R., and Goodchild, M. F. (2012). Se-
mantic similarity measurement based on knowledge
mining: An artificial neural net approach. Interna-
tional Journal of Geographical Information Science,
26(8):1415–1435.
Ludolph, H., Kropf, P., and Babin, G. (2011). SoftwIre
integration - an onto-neural perspective. In Babin,
G., Stanoevska-Slabeva, K., and Kropf, P., editors, E-
Technologies: Transformation in a Connected World -
5th International Conference (MCETECH 2011). Les
Diablerets, Switzerland, January 23-26, 2011, Re-
vised Selected Papers, number 78 in Lecture Notes
in Business Information Processing, pages 116–130.
Springer.
Otero-Cerdeira, L., Rodríguez-Martínez, F. J., and Gómez-
Rodríguez, A. (2015). Ontology matching: A lit-
erature review. Expert Systems with Applications,
42(2):949–971.
Pollack, J. B. (1990). Recursive distributed representations.
Artificial Intelligence, 46:77–105.
Rahm, E. (2011). Towards large-scale schema and ontology
matching. In Schema matching and mapping, pages
3–27. Springer.
Rahm, E. and Bernstein, P. A. (2001). A survey of ap-
proaches to automatic schema matching. The VLDB
Journal, 10(4).
Shvaiko, P. and Euzenat, J. (2013). Ontology match-
ing: state of the art and future challenges. IEEE
Transactions on Knowledge and Data Engineering,
25(1):158–176.
Sperduti, A. (1993). On some stability properties of the
lraam model. Technical report, International Com-
puter Science Institute.
Zdravkovi
´
c, M., Trajanovi
´
c, M., and Panetto, H. (2014).
Enabling interoperability as a property of ubiquitous
systems: towards the theory of interoperability-of-
everything. In 4th International Conference on In-
formation Society and Technology, ICIST 2014, vol-
ume 1, pages 240–247, Kopaonik, Serbia.
A LRAAM-based Partial Order Function for Ontology Matching in the Context of Service Discovery
403