Abstract
Schema.org offers to web developers the opportunity to enrich a website’s content with microdata and schema.org. For large websites, implementing microdata can take a lot of time. In general, it is necessary to perform two main activities, for which we lack methods and tools. The first consists in designing what we call the website schema.org, which is the fragment of schema.org that is relevant to the website. The second consists in adding the corresponding microdata tags to the web pages. In this paper, we describe an approach to the design of a website schema.org. The approach consists in using a human-computer task-oriented dialogue, whose purpose is to arrive at that design. We describe a dialogue generator that is domain-independent, but that can be adapted to specific domains. We propose a set of six evaluation criteria that we use to evaluate our approach, and that could be used in future approaches.
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References
Seochat: Schema.org and microdata markups for SEO (May 2013), http://www.seochat.com/c/a/search-engine-optimization-help/schema-org-and-microdata-markups-for-seo/
Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Quarterly, 75–105 (2004)
OMG. UML Superstructure v.2.4.1 (2011), http://www.omg.org/spec/UML
Olive, A.: Conceptual Modeling of Information Systems. Springer, Berlin (2007)
Chang, C.H., Kayed, M., Girgis, R., Shaalan, K.F.: A survey of web information extraction systems. IEEE Transactions on Knowledge and Data Engineering 18(10), 1411–1428 (2006)
Sahuguet, A., Azavant, F.: Building intelligent web applications using lightweight wrappers. Data & Knowledge Engineering 36(3), 283–316 (2001)
Lehmann, J., et al.: DEQA: Deep web extraction for question answering. In: Cudré-Mauroux, P., et al. (eds.) ISWC 2012, Part II. LNCS, vol. 7650, pp. 131–147. Springer, Heidelberg (2012)
Hogue, A., Karger, D.: Thresher: Automating the unwrapping of semantic content from the World Wide Web. In: WWW 2005, pp. 86–95. ACM (2005)
Embley, D.W., Hurst, M., Lopresti, D., Nagy, G.: Table-processing paradigms: A research survey. IJDAR Journal 8(2-3), 66–86 (2006)
Wang, J., Wang, H., Wang, Z., Zhu, K.Q.: Understanding tables on the web. In: Atzeni, P., Cheung, D., Ram, S. (eds.) ER 2012 Main Conference 2012. LNCS, vol. 7532, pp. 141–155. Springer, Heidelberg (2012)
Rahm, E., Bernstein, P.A.: A survey of approaches to automatic schema matching. VLDB Journal 10(4), 334–350 (2001)
Bellahsene, Z.: Schema Matching and Mapping. Springer (2011)
An, Y., Borgida, A., Mylopoulos, J.: Discovering the semantics of relational tables through mappings. Journal on Data Semantics VII, 1–32 (2006)
Shvaiko, P., Euzenat, J.: Ontology matching: State of the art and future challenges. IEEE Transactions on Knowledge and Data Engineering 25(1), 158–176 (2013)
Krutil, J., Kudelka, M., Snasel, V.: Web page classification based on schema.org collection. In: CASoN, pp. 356–360. IEEE (2012)
Pew Research Center. Question Order, http://www.people-press.org/methodology/questionnaire-design/question-order/
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Tort, A., Olivé, A. (2014). A Computer-Guided Approach to Website Schema.org Design. In: Yu, E., Dobbie, G., Jarke, M., Purao, S. (eds) Conceptual Modeling. ER 2014. Lecture Notes in Computer Science, vol 8824. Springer, Cham. https://doi.org/10.1007/978-3-319-12206-9_3
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DOI: https://doi.org/10.1007/978-3-319-12206-9_3
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