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        <journal-meta>
            <journal-title-group>
                <journal-title>Contemporary Education and Teaching Research</journal-title>
            </journal-title-group>
            <issn media_type="print">2737-4203</issn>
            <issn media_type="electronic">2737-4335</issn>
            <publisher>
                <publisher-name>BONI FUTURE DIGITAL PUBLISHING CO.,LIMITED</publisher-name>
            </publisher>
            <url>https://ojs.bonfuturepress.com/index.php/CETR/article/view/1972</url>
            <volume>7</volume>
            <issue>2</issue>
            <year>2026</year>
            <published-time>2026-02-26</published-time>
            <title>From “Textual Interpretation” to “Cognitive Infrastructure”: The Data-Driven Transformation and Paradigm Reconstruction in Country and Regional Studies for the Digital Age — With a Strategic Value Analysis of Multilingual Open Source INTelligence (OSINT) Data Annotation</title>
            <author>Hang Dong*</author>
            <abstract>At a historical juncture when Artificial Intelligence Generated Content (AIGC) is profoundly reshaping global knowledge production and the landscape of geopolitical analysis, traditional area studies confront a dual crisis: the declining explanatory power of qualitative paradigms and a “knowledge supply crisis” mediated by algorithmic systems. This paper argues that area studies must undergo a paradigmatic transformation—from “linguistic mediation” to “semantic governance,” and from tacit experiential knowledge to the construction of “semantic infrastructure.” By conceptualizing high-quality data annotation as both a confirmation of semantic rights and the building of cognitive infrastructure, the study proposes an integrated framework encompassing ontology construction, semantic alignment, and domain-specific evaluation. Through this engineering-oriented architecture, unstructured regional knowledge can be transformed into structured data assets. Driven by a dual-engine model integrating “United Nations normative corpora” and “Open Source INTelligence (OSINT),” area studies can evolve from post hoc interpretation toward a decision-support paradigm characterized by real-time perception, structured computation, and scenario simulation. Such a transformation will consolidate the epistemic foundations of China’s autonomous knowledge system and safeguard national cognitive sovereignty.</abstract>
            <keywords>country and regional studies,data annotation,semantic governance,nternational communication,new liberal arts,ESG,industry–education integration</keywords>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.61360/BoniCETR262019720204</article-id>
        </article-meta>
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            <ref-list>
                <ref>
                   <element-citation publication-type="journal">
                       <p>Bai, Y. (2026). Theoretical construction and methodological innovation of China’s area studies from the perspective of civilizational mutual learning. Changbai Journal, (1), 43–54. https://doi.org/10.19649/j.cnki.cn22-1009/d.2026.01.004&#13;
Frontier Domestic Universities Teaching Reform Research Group. (2025). Special work plan for the reform of professional degree education in translation (2026–2030).&#13;
He, S., &amp; Xue, Y. (2025). A study on foreign language competence cultivation mechanisms for area studies talents in European universities. Frontiers of Foreign Language Education Research, 8(6), 87–98. https://doi.org/10.20083/j.cnki.fleic.2025.0062&#13;
Li, L., &amp; Xu, R. (2025, December 12). After the suspension of pure foreign language majors, a new track of “Foreign Language+” emerges. Jiefang Daily, 005. https://doi.org/10.28410/n.cnki.njfrb.2025.010420&#13;
National Development and Reform Commission et al. (2025). Opinions on strengthening the construction of data element disciplines and majors and the development of digital talent teams (No. 1425 [2025]).&#13;
Ng, A. (2021). Data-centric AI. GitHub. https://github.com/&#13;
School of Foreign Languages, East China Jiaotong University. (2025). Report on the establishment of the CEEMA Transportation ESG Data Governance Industry Center at East China Jiaotong University.&#13;
State Council of the People’s Republic of China. (2025). Opinions of the State Council on deeply implementing the “Artificial Intelligence+” action plan.&#13;
Sun, A., &amp; Cui, W. (2025). Exploration and practice of cultivating top innovative foreign language talents under the background of the New Liberal Arts. Caizhi, (34), 133–136.</p>
                   </element-citation>
                </ref>
            </ref-list>
        </back>
    </tbody>
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