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Decentralized case-based reasoning and Semantic Web technologies applied to decision support in oncology

Published online by Cambridge University Press:  14 March 2013

Mathieu d'Aquin ,
Jean Lieber  and
Amedeo Napoli
Mathieu d'Aquin
Affiliation:
Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK; e-mail: [email protected]
Jean Lieber
Affiliation:
LORIA (CNRS—Inria Nancy Grand-Est—Université de Lorraine), Campus scientifique—Équipe Orpailleur, BP 239, 54506 Vandœuvre-lès-Nancy, France; e-mail: [email protected], [email protected]
Amedeo Napoli
Affiliation:
LORIA (CNRS—Inria Nancy Grand-Est—Université de Lorraine), Campus scientifique—Équipe Orpailleur, BP 239, 54506 Vandœuvre-lès-Nancy, France; e-mail: [email protected], [email protected]
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Abstract

This article presents the Kasimir system dedicated to decision knowledge management in oncology and which is built on top of Semantic Web technologies, taking benefit from standard knowledge representation formalisms and open reasoning tools. The representation of medical decision protocols, in particular for breast cancer treatment, is based on concepts and instances implemented within the description logic OWL DL (Web ontology language description logic). The knowledge units related to a protocol can then be applied for solving specific medical problems, using instance or concept classification. However, the straight application of a protocol is not always satisfactory, for example, because of contraindications, necessitating an adaptation of the protocol. This is why the principles and methods of case-based reasoning (CBR) in the framework of DLs have been used. In addition, the domain of oncology is complex and involves several specialties, for example, surgery and chemotherapy. This complexity can be better undertaken with a viewpoint-based representation of protocols and viewpoint-based reasoning, for either application or adaptation of the protocols. Accordingly, a distributed DL has been used for representing a viewpoint-based protocol. The application and the adaptation of the viewpoint-based protocol to medical cases is carried out using global instance classification and decentralized CBR.

Type
Articles
Information
The Knowledge Engineering Review , Volume 28 , Issue 4 , December 2013 , pp. 425 - 449
Copyright
Copyright © Cambridge University Press 2013 

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References

Aamodt, A. 1990. Knowledge-intensive case-based reasoning and sustained learning. In Proceedings of the 9th European Conference on Artificial Intelligence (ECAI'90), Stockholm, Sweden, 1–6.Google Scholar
Aamodt, A. 1991. A Knowledge-Intensive, Integrated Approach to Problem Solving and Sustained Learning. Doctoral dissertation, University of Trondheim.Google Scholar
Aamodt, A. 2004. Knowledge-intensive case-based reasoning in CREEK. In Proceedings of the European Conference on Case-Based Reasoning, ECCBR'04, Funk, P. & Gonzàlez-Calero, P. A. (eds). Lecture Notes in Artificial Intelligence 3155, 1–15. Springer.CrossRefGoogle Scholar
Aamodt, A., Plaza, E. 1994. Case-based reasoning: foundational issues, methodological variations, and system approaches. AICom – Artificial Intelligence Communications 7(1), 39–59.Google Scholar
Antoniou, G., van Harmelen, F. 2004. A Semantic Web Primer. The MIT Press.Google Scholar
Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P. (eds) 2003. The Description Logic Handbook. Cambridge University Press.Google Scholar
Besana, P., Patkar, V., Glasspool, D., Robertson, D. 2008. Distributed workflows: the open-knowledge experience. In OTM Workshops, Meersman, R., Tari, Z. & Herrero, P. (eds). Lecture Notes in Computer Science 5333, 965–975. Springer. ISBN 978-3-540-88874-1.Google Scholar
Borgida, A., Serafini, L. 2002. Distributed description logics: directed domain correspondences in federated information sources. In Confederated International Conferences DOA, CoopIS and ODBASE 2002, Meersman R. & Tari Z. (eds.). Springer, 36–53.Google Scholar
Borgida, A., Serafini, L. 2003. Distributed description logics: assimilating information from peer sources. Journal of Data Semantics 1, 153–184.CrossRefGoogle Scholar
Bouaud, J., Séroussi, B. 2008. Characterizing the dimensions of clinical practice guideline evolution. In Proceedings of MIE2008. Studies in Health Technology and Informatics, 136, 139–144. IOS Press.Google Scholar
Bouquet, P., Giunchiglia, F., van Harmelen, F., Serafini, L., Stuckenschmidt, H. 2004. Contextualizing ontologies. Journal of Web Semantics 1(4), 325–343.CrossRefGoogle Scholar
Clancey, W. J., Shortliffe, E. H. (eds) 1984. Readings in Medical Artificial Intelligence: The First Decade. Addison-Wesley.Google Scholar
d'Aquin, M., Brachais, S., Lieber, J., Napoli, A. 2004. Decision support and knowledge management in oncology using hierarchical classification. In Proceedings of the Symposium on Computerized Guidelines and Protocols, CGP-2004, Studies in Health Technology and Informatics, 101, 16–30. IOS Press.Google Scholar
d'Aquin, M., Brachais, S., Bouthier, C., Lieber, J., Napoli, A. 2005a. Knowledge editing and maintenance tools for a semantic portal in oncology. International Journal of Human – Computer Studies (IJHCS) 62(5), 619–638.CrossRefGoogle Scholar
d'Aquin, M., Lieber, J., Napoli, A. 2005b. Decentralized case-based reasoning for the Semantic Web. In Procedings of International Semantic Web Conference, ISWC 2005, Gil Y., Motta E., Benjamins V.R. & Musen M.A. (eds). Lecture Notes in Computer Science 3729, 142–155. Springer.CrossRefGoogle Scholar
d'Aquin, M., Lieber, J., Napoli, A. 2006a. Adaptation knowledge acquisition: a case study for case-based decision support in oncology. Computational Intelligence (an International Journal) 22(3/4), 161–176.CrossRefGoogle Scholar
d'Aquin, M., Lieber, J., Napoli, A. 2006b. Case-based reasoning within Semantic Web technologies. In Proceedings of the 12th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2006), Varna, Bulgaria, 13–15 September, 2006, Euzenat, J. & Domingue, J. (eds). Lecture Notes in Artificial Intelligence 4183, 190–200. Springer.CrossRefGoogle Scholar
d'Aquin, M., Lieber, J., Napoli, A. 2006c. Towards a semantic portal for oncology using a description logic with fuzzy concrete domains. In Fuzzy Logic and the Semantic Web, Sanchez, E. (ed). Elsevier, 379–393.CrossRefGoogle Scholar
d'Aquin, M., Lieber, J., Napoli, A. 2008. Decision support systems in oncology: are we there yet? Oncology 9(11). www.hcplive.com/mdnglive/ONCNG-Oncology/Nov2008Google Scholar
d'Aquin, M., Badra, F., Lafrogne, S., Lieber, J., Napoli, A., Szathmary, L. 2007. Case base mining for adaptation knowledge acquisition. In International Joint Conference on Artificial Intelligence 2007, Hyderabad, India, Veloso, M. M. (ed). Morgan Kaufman, 750–755.Google Scholar
Demazeau, Y., Müller, J.-P. 1989. Decentralized Artificial Intelligence. In Decentralized A.I. – Proceedings of the First European Workshop on Modelling Autonomous Agents in a Multi-Agent World, Demazeau, Y. and Müller, J.-P. (eds). North-Holland, 3–13.Google Scholar
Egho, E., Jay, N., Raïssi, C., Napoli, A. 2011. A FCA-based analysis of sequential care trajectories. In Proceedings of the Eighth International Conference on Concept Lattices and their Applications – CLA 2011, Nancy, France, Napoli, A. & Vychodil, V. (eds). INRIA Nancy Grand Est – LORIA, 363–376.Google Scholar
Evidence-Based Medicine Working-Group. 1992. Evidence-based medicine. A new approach to teaching the practice of medicine. Journal of the American Medical Association 17, 268.Google Scholar
Ghazvinian, A., Noy, N. F., Jonquet, C., Shah, N. H., Musen, M. A. 2009. What four million mappings can tell you about two hundred ontologies. In International Semantic Web Conference, Chantilly, Virginia, USA, 229–242.Google Scholar
Gómez-Albarrán, M., Gonzàles-Calero, P. A., Díaz-Agudo, B., Fernàndez-Conde, C. 1999. Modelling the CBR Life Cycle Using Description Logics. In Proceedings of the International Conference on Case-Based Reasoning, ICCBR'99, Althoff, K.-D., Bergamnn, R. & Branting, L. K. (eds). Lecture Notes in Artificial Intelligence 1650, 147–161. Springer.Google Scholar
Hitzler, P., Krötsch, M., Rudolph, S. 2009. Foundations of Semantic Web Technologies. CRC Press.CrossRefGoogle Scholar
Homola, M., Serafini, L. 2010. Augmenting subsumption propagation in distributed description logics. Applied Artificial Intelligence 24, 39–76.CrossRefGoogle Scholar
Horrocks, I., Patel-Schneider, P. F., van Harmelen, F. 2003. From SHIQ and RDF to OWL: the making of a Web Ontology Language. Journal of Web Semantics 1(1), 7–26.CrossRefGoogle Scholar
Hussain, S., Abidi, S. S. R. 2009. Integrating healthcare knowledge artifacts for clinical decision support: towards semantic web based healthcare knowledge morphing. In Artificial Intelligence in Medicine, Combi, C., Shahar, Y. & Abu-Hanna, A. (eds). Lecture Notes in Computer Science 565, 171–175. ISBN 978-3-642-02975-2.Google Scholar
Jay, N., Napoli, A., Kohler, F. 2006. Cancer patient flows discovery in drg databases. In Ubiquity: Technologies for Better Health in Aging Societies. Proceedings of MIE 2006. Studies in Health Technology and Informatics, Hasman, A., Haux, R., Van Der Lei, J., De Clercq, E. & Roger, F. H. (eds). IOS Press, 725–730.Google Scholar
Jay, N., Kohler, F., Napoli, A. 2008. Analysis of social communities with iceberg and stability-based concept lattices. In Formal Concept Analysis – Proceedings of the 6th International Conference on FCA (ICFCA 2008), Montréal, Medina, R. & Obiedkov, S. (eds). Lecture Notes in Artificial Intelligence 4933, 258–272. Springer.CrossRefGoogle Scholar
Kazakov, Y., Kroetzsch, M., Simancik, F. 2012. Practical reasoning with nominals in the el family of description logics. In Principles of Knowledge Representation and Reasoning, Brewka, G., Eiter, T. & McIlraith, S. A. (eds). AAAI Press, 264–274.Google Scholar
Kolodner, J. 1993. Case-Based Reasoning. Morgan Kaufmann.CrossRefGoogle Scholar
Krötzsch, M., Simancik, F., Horrocks, I. 2012. A Description Logic Primer. Technical report, Department of Computer Science, University of Oxford. http://arxiv.org/abs/1201.4089Google Scholar
Lieber, J., Napoli, A. 1996. Using classification in case-based planning. In Proceedings of the 12th European Conference on Artificial Intelligence (ECAI-96), Wahlster, W. (ed.). John Wiley & Sons Ltd, 132–136.Google Scholar
Lieber, J., d'Aquin, M., Bey, P., Napoli, A., Rios, M., Sauvagnac, C. 2003. Acquisition of adaptation knowledge for breast cancer treatment decision support. In Procedings of the 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus.CrossRefGoogle Scholar
Lutz, C. 2003. Description logics with concrete domains – a survey. In Advances in Modal Logics, Balbiani P., Suzuki N.-Y., Wolter F. & Zakharyaschev M. (eds). King's College Publications, 265–296.Google Scholar
Lutz, C., Milicic, M. 2007. A tableau algorithm for description logics with concrete domains and general tboxes. Journal of Automated Reasoning 38(1–3), 227–259.CrossRefGoogle Scholar
Lutz, C., Areces, C., Horrocks, I., Sattler, U. 2005. Keys, nominals, and concrete domains. Journal of Artificial Intelligence Research (JAIR) 23, 667–726.Google Scholar
Marcus, S. (ed.) 1988. Automatic Knowledge Acquisition for Expert Systems. Kluwer Academic Publishers.CrossRefGoogle Scholar
McBride, B. 2002. Jena: a semantic Web toolkit. Internet Computing, IEEE 6(6), 55–59.CrossRefGoogle Scholar
Meilender, T., Lieber, J., Palomares, F., Jay, N. 2012. From web 1.0 to social semantic web: lessons learnt from a migration to a medical semantic wiki. In Extended Semantic Web Conference, Simperl E., Cimiano P., Polleres A., Corcho O. & Presutti V. (eds). Springer, 618–632.Google Scholar
Melis, E., Lieber, J., Napoli, A. 1998. Reformulation in case-based reasoning. In Proceedings of the Fourth European Workshop on Case-Based Reasoning, EWCBR-98, Smyth, B. & Cunningham, P. (eds). Lecture Notes in Artificial Intelligence 1488, 172–183. Springer.CrossRefGoogle Scholar
Napoli, A., Lieber, J., Curien, R. 1996. Classification-based problem-solving in case-based reasoning. In Third European Workshop on Case-Based Reasoning (EWCBR'96), Lausanne, Faltings, B. & Smith, I. (eds). Lecture Notes in Artificial Intelligence 1168, 295–308. Springer-Verlag.CrossRefGoogle Scholar
Noy, N. F., Shah, N. H., Whetzel, P. L., Dai, B., Dorf, M., Griffith, N., Jonquet, C., Rubin, D. L., Storey, M.-A. D., Chute, C. G., Musen, M. A. 2009. Bioportal: ontologies and integrated data resources at the click of a mouse. Nucleic Acids Research 37(Web-Server-Issue), 170–173.CrossRefGoogle ScholarPubMed
Pan, J., Horrocks, I. 2005. OWL-Eu: adding customised datatypes into OWL. In Proceedings of the Second European Semantic Web Conference, ESWC 2005, Gómez-Pérez, A. & Euzenat, J. (eds). Lecture Notes in Computer Science 3532, 153–166. Springer.CrossRefGoogle Scholar
Patkar, V., Hurt, V., Steele, R., Love, S., Purushotham, A., Williams, M., Thomson, R., Fox, J. 2006. Evidence-based guidelines and decision support services: a discussion and evaluation in triple assessment of suspected breast cancer. British Journal of Cancer 95, 1490–1496.CrossRefGoogle ScholarPubMed
Peleg, M., Tu, S., Bury, J., Ciccarese, P., Fox, J., Greenes, R. A., Hall, R., Johnson, P. D., Jones, N., Kumar, A., Miksch, S., Quaglini, S., Seyfang, A., Shortliffe, E. H., Stefanelli, M. 2003. Computer-interpretable Guideline Models: a case-study approach. Journal of the American Medical Informatics Association 10, 52–68.CrossRefGoogle ScholarPubMed
Riesbeck, C. K., Schank, R. C. 1989. Inside Case-Based Reasoning. Lawrence Erlbaum Associates Inc.Google Scholar
Rios, M., Desandes, E., Bresson, B., Klein, I., Lesur, A., Boisson, F., Demange, V., Bey, P. 2003. Référentiels de bonnes pratiques cancérologiques : étude comparative de trois supports d'aide à la proposition thérapeutique pour les cancers du sein et de la prostate en Lorraine [Clinical guidelines in oncology: a comparative study of three decision support systems for breast and prostate cancer in Lorraine French region]. Bulletin du cancer 90(4), 363–370 (in French).Google Scholar
Salotti, S., Ventos, V. 1998. Study and formalization of a case-based reasoning system using a description logic. In Advances in Case-Based Reasoning, Proceedings of the 4th European Workshop, EWCBR-98, Smyth, B. & Cunningham, P. (eds). Lecture Notes in Artificial Intelligence 1488, 286–297. Springer.CrossRefGoogle Scholar
Schulz, S., Hahn, U. 2004. A description logic approach to clinical guidelines and protocols. In Proceedings of the Symposium on Computerized Guidelines and Protocols (CGP-2004), Prague, Czech Republic.Google Scholar
Serafini, L. 2007. Distributed Reasoning for Semantically Related Domains. Technical report, ITC-IRST.Google Scholar
Serafini, L., Homola, M. 2012. Contextualized knowledge repositories for the semantic web. Journal of Web Semantics 12, 64–87.CrossRefGoogle Scholar
Serafini, L., Tamilin, A. 2004. Local tableaux for reasoning in distributed description logics. In Proceedings of the International Workshop on Description Logics, DL'04, Whistler, BC, Canada, Haarslev, V. & Moeller, R. (eds). CEUR-WS, 104, 100–109.Google Scholar
Serafini, L., Tamilin, A. 2005. DRAGO: distributed reasoning architecture for the semantic web. In Proceedings of the Second European Semantic Web Conference (ESWC'05), Gomez-Perez, A. & Euzenat, J. (eds). Lecture Notes in Computer Science 3532, 361–376. Springer.CrossRefGoogle Scholar
Sirin, E., Grau, B. C., Parsia, B. 2006. From wine to water: optimizing description logic reasoning for nominals. In Principles of Knowledge Representation and Reasoning, Doherty, P., Mylopoulos, J. & Welty, C. A. (eds). AAAI Press, 90–99.Google Scholar
Sirin, E., Parsia, B., Grau, B. C., Kalyanpur, A., Katz, Y. 2007. Pellet: a practical OWL-DL reasoner. Journal of Web Semantics 5(2), 51–53.CrossRefGoogle Scholar
Smyth, B. 1996. Case-Based Design. PhD thesis, Trinity College, University of Dublin.Google Scholar
Tamilin, A. 2007. Distributed Ontological Reasoning: Theory, Algorithms, and Applications. PhD dissertation, ITC – IRST.Google Scholar
van Bemmel, J. H., Musen, M. A. (eds) 1997. Handbook of Medical Informatics. Springer-Verlag.Google Scholar