{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:41:06Z","timestamp":1761007266807,"version":"build-2065373602"},"reference-count":17,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2005,1,31]],"date-time":"2005-01-31T00:00:00Z","timestamp":1107129600000},"content-version":"vor","delay-in-days":488,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc of Assoc for Info"],"published-print":{"date-parts":[[2003,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>One of the problems that people have in using statistical information from government websites, is that the level of statistical knowledge in the general population is low. People's lack of statistical knowledge is a barrier to finding the statistics they need and understanding what the statistics mean and how to use them. We describe the Statistical Interactive Glossary (SIG), an enhanced glossary of statistical terms, and the GovStat ontology of statistical concepts which supports it. The overall goal of the glossary is to help users understand important statistical terms and concepts in the context in which they are used. We present a conceptual framework whose components articulate the different aspects of a term's basic explanation that can be manipulated to produce a variety of presentations. Developing the general explanation for each term involves three types of information: the content of the explanation, the context in which the explanation will be displayed, and the format in which the explanation will be delivered. Taxonomic relationships between concepts in the GovStat ontology support the provision of context\u2010specific presentations. These same relationships are also associated with explanation templates, which are patterns for defining or giving an example of a concept. We conclude by discussing evaluation of the SIG. The overarching criterion of effectiveness is whether the SIG helps users complete their statistical information tasks.<\/jats:p>","DOI":"10.1002\/meet.1450400124","type":"journal-article","created":{"date-parts":[[2005,1,31]],"date-time":"2005-01-31T11:49:50Z","timestamp":1107172190000},"page":"193-199","source":"Crossref","is-referenced-by-count":6,"title":["Understanding statistical concepts and terms in context: The GovStat ontology and the statistical interactive glossary"],"prefix":"10.1002","volume":"40","author":[{"given":"Stephanie W.","family":"Haas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria Cristina","family":"Pattuelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ron T.","family":"Brown","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2005,1,31]]},"reference":[{"volume-title":"Information Technology, Research, Innovation, and E\u2010Government","year":"2002","author":"Computer Science and Telecommunications Board","key":"e_1_2_6_2_1"},{"key":"e_1_2_6_3_1","unstructured":"Dominick J. Hughes A. Marchionini G. Shearer T. Su C. andZhang J.(2003). Portal Help: Helping people help themselves through animated demos. SILS Technical Report TR\u20102003\u201001. School of Information & Library Science UNC\u2010Chapel Hill."},{"issue":"1","key":"e_1_2_6_4_1","first-page":"26","article-title":"Overview of methodologies for building ontologies. In Proceedings of the IJCAI\u201099 Workshop on Ontologies and Problem\u2010Solving Methods: Lessons Learned and Future Trends. CEUR Publications, 1999","volume":"16","author":"Fernandez Lopez M.","year":"1999","journal-title":"Intelligent Systems."},{"key":"e_1_2_6_5_1","series-title":"Proceedings of AAA197 Spring Symposium Series, Workshop on Ontological Engineering","first-page":"33","volume-title":"METHONTOLOGY: From ontological art towards ontological engineering","author":"Fernandez M.","year":"1997"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(1999)50:1<24::AID-ASI5>3.0.CO;2-W"},{"key":"e_1_2_6_7_1","unstructured":"Haas S. W.(in press). Improving the search environment: Informed decision making in the search for statistical information. Journal of the American Society for Information Science."},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1075\/term.8.1.03haa"},{"key":"e_1_2_6_9_1","doi-asserted-by":"crossref","unstructured":"Hert C. A.&Hern\u00e1ndez N.(2001). User uncertainties with tabular statistical data: Identification and resolution. Final report to the United States Bureau of Labor Statistics.http:\/\/ils.unc.edu\/govstat\/uncertaintiespaper.htm","DOI":"10.1145\/544335.544344"},{"key":"e_1_2_6_10_1","unstructured":"Hert C. A.&Marchionini G.(1997). Seeking statistical information in federal websites: Users tasks strategies and design recommendations. Final report to the United States Bureau of Labor Statistics.http:\/\/ils.unc.edu\/\u223cmarch\/blsreport\/mainbls.html"},{"key":"e_1_2_6_11_1","unstructured":"Marchionini G. Hert C. Shneiderman B.&Liddy E.(2001). E\u2010tables: Non\u2010specialist use and understanding of statistical data. Proceedings of db.o2001: National Conference for Digital Government 114\u2013119."},{"key":"e_1_2_6_12_1","unstructured":"Noy N.&McGuinness D. L.(2001). Ontology development 101: A guide to creating your first ontology. Retrieved October 23 2002http:\/\/www.ksl.stanford.edu\/people\/dlm\/papers\/ontology101\/ontology101\u2010noy\u2010mcguinness.html"},{"key":"e_1_2_6_13_1","unstructured":"Plaisant C. Kang H.&Shneiderman B.(2002). New approaches to providing help for public access information systems: Multi\u2010layered interfaces and integrated initial guidance. In preparation."},{"key":"e_1_2_6_14_1","unstructured":"Smith B.(2002). Ontology and information systems. Retrieved December 3 2002 fromhttp:\/\/ontology.buffalo.edu\/ontology.doc"},{"volume-title":"Conceptual structures: Information processing in mind and machine","year":"1984","author":"Sowa J. F.","key":"e_1_2_6_15_1"},{"key":"e_1_2_6_16_1","unstructured":"Staab S. Erdmann M. M\u00e4dche A. &Decker S.(2000). An extensible approach for modeling ontologies in RDF(S). Paper presented at Metadata ECDL 2000 Workshop on the Semantic Web September 21 2000 Lisbon. Retrieved October 11 2002 fromhttp:\/\/www.ics.forth.gr\/isl\/SemWeb\/PPT\/I"},{"key":"e_1_2_6_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467-8535.00047"},{"key":"e_1_2_6_18_1","first-page":"187","volume-title":"Papers from the Second International Conference","author":"Zuniga G. 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