Abstract
The Semantic Resource Framework (SRF) is a multi-level description of the data sources for search computing applications. It responds to the need of having a structured representation of search services, amenable to service exploration, selection, and invocation. The SRF aims at extending the Service Mart model used so far in search computing to overcome some of its limitations. The main new features include external attributes, which represent the input to be provided by users for accessing objects; selector attributes, describing the possibility to map the same access pattern to different services based on some condition; key attributes for objects; and a generalized notion of nearness between objects. The high-level view presented by SRF is a very simple Entity-Relationship model with objects and binary connections, that can be used for very different query tasks, ranging from custom search applications (i.e. predefined queries) to exploratory search (i.e., exploration of its objects and connections) to natural language interfaces (i.e., query dialogues). Such high-level view should be considered as an initial step in the enrichment of the service repository with additional semantic capabilities.
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References
Ankolenkar, A., et al.: DAML-S: Web service description for the Semantic Web, http://www.daml.org/services/daml-s/2001/10/daml-s.html
Baeza-Yates, R., Raghavan, P.: Next Generation Web Search. In: Ceri, S., Brambilla, M. (eds.) Search Computing. LNCS, vol. 5950, pp. 11–23. Springer, Heidelberg (2010), doi:10.1007/978-3-642-12310-8_2
Bergamaschi, S., Beneventano, D., Po, L., Sorrentino, S.: Automatic Schema Mapping Through Normalization and Annotation. In: Ceri, S., Brambilla, M. (eds.) Search Computing II. LNCS, vol. 6585, pp. 85–100. Springer, Heidelberg (2011)
Braga, D., Ceri, S., Daniel, F., Martinenghi, D.: Optimization of multi-domain queries on the Web. In: Proc. VLDB, vol. 1(1), pp. 562–573 (August 2008)
Brambilla, M., Tettamanti, L.: Search computing processes and tools. In: Ceri, S., Brambilla, M. (eds.) Search Computing II. LNCS, vol. 6585, pp. 169–181. Springer, Heidelberg (2011)
Campi, A., Ceri, S., Maesani, A., Ronchi, S.: Designing service marts for engineering search computing applications. In: Benatallah, B., Casati, F., Kappel, G., Rossi, G. (eds.) ICWE 2010. LNCS, vol. 6189, pp. 50–65. Springer, Heidelberg (2010)
Chakrabarti, K., Ganti, V., Han, J., Xin, D.: Ranking objects based on relationships. In: Proc. of SIGMOD Int. Conf. on Management of Data, New York, USA, pp. 371–382 (2006)
Dalvi, N., et al.: A Web of Concepts. In: PODS 2009, Providence, Rhode Island, USA, June 29-July 2 (2009)
Fensel, D., Bussler, C.: The Web Service Modeling Framework WSMF. Electronic Commerce Research and Applications 1(2), 113–137
Fensel, D., Musen, M.: Special Issue on Semantic Web Technology. IEEE Intelligent Systems (IEEE IS)Â 16(2)
Google Fusion Tables, http://tables.googlelabs.com/
Gene Ontology, http://www.geneontology.org/
Gonzalez, H., Halevy, A., Jensen, C., Langen, A., Madhavan, J., Shapley, R., Shen, W., Goldberg-Kidon, J.: Google fusion tables: web-centered data management and collaboration. In: Proceedings of the 2010 International Conference on Management of Data, SIGMOD 2010, Indianapolis, USA, June 06-10, pp. 175–180 (2010)
Gonzalez, H., Halevy, A., Jensen, C., Langen, A., Madhavan, J., Shapley, R., Shen, W.: Google Fusion Tables: Data Management, Integration, and Collaboration in the Cloud. In: Proceedings of the ACM Symposium on Cloud Computing, SOCC (2010)
Liangzhao, Z., Benatallah, B., Ngu, A.H.H., Dumas, M., Kalagnanam, J., Chang, H.: QoS-aware middleware for Web services composition. IEEE Transactions on Software Engineering 30(5), 311–327 (2004)
Martin, D., Burstein, M., et al.: Bringing Semantics to Web Services with OWL-S. In: World Wide Web, vol. 10(3), pp. 243–277 (September 2007)
Maximilien, E.M., Singh, M.P.: A framework and ontology for dynamic Web services selection. IEEE Internet Computing 8(5), 84–93 (2004)
Quartel, D.S., Steen, M.W., Pokraev, S., Sinderen, M.J.: COSMO:A conceptual framework for service modeling and refinement. Information Systems Frontiers 9(2-3), 225–244 (2007)
Srivastava, U., Munagala, K., Widom, J., Motwani, R.: Query optimization over Web services. In: VLDB 2006, VLDB Endowment, pp. 355–366 (2006)
Suchanek, F., Bozzon, A., Della Valle, E., Campi, A., Ronchi, S.: Towards an Ontological Representation in Search Computing. In: Ceri, S., Brambilla, M. (eds.) Search Computing II. LNCS, vol. 6585, pp. 101–112. Springer, Heidelberg (2011)
WordNet, http://wordnet.princeton.edu/
Xi, W., Fox, E.A., Fan, W., Zhang, B., Chen, Z., Yan, J., Zhuang, D.: SimFusion: measuring similarity using unified relationship matrix. In: Proc. of the 28th Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, New York, USA, pp. 130–137 (2005)
Zaragoza, H., Rode, H., Mika, P., Atserias, J., Ciaramita, M., Attardi, G.: Ranking very many typed entities on wikipedia. In: CIKM 2007: Proc. of the 16th ACM Conf. on Information and Knowledge Management, pp. 118–1018. ACM, New York (2007)
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Brambilla, M., Campi, A., Ceri, S., Quarteroni, S. (2011). Semantic Resource Framework. In: Ceri, S., Brambilla, M. (eds) Search Computing. Lecture Notes in Computer Science, vol 6585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19668-3_7
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