An Evaluation of Statistical Approaches to Text Categorization
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Data & Knowledge Engineering - Special issue on heterogeneous information resources need semantic access
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Machine learning for information extraction in informal domains
Machine learning for information extraction in informal domains
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EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
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International Journal on Document Analysis and Recognition
Natural Language Engineering
Survey of semantic annotation platforms
Proceedings of the 2005 ACM symposium on Applied computing
MUC5 '93 Proceedings of the 5th conference on Message understanding
Learning non-taxonomic relationships from web documents for domain ontology construction
Data & Knowledge Engineering
Requirements model generation to support requirements elicitation: the Secure Tropos experience
Automated Software Engineering
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Active learning with strong and weak views: a case study on wrapper induction
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Artificial Intelligence
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Electronic Notes in Theoretical Computer Science (ENTCS)
Semantic annotation, indexing, and retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
Applying software analysis technology to lightweight semantic markup of document text
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Text mining through semi automatic semantic annotation
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A lightweight approach to semantic annotation of research papers
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A methodology to learn ontological attributes from the Web
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Integrating keywords and semantics on document annotation and search
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A method for assessing website communicative efficacy using a semantic annotation tool
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Semantic-ART: a framework for semantic annotation of regulatory text
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An Ontology-driven Document Retrieval Strategy for Organizational Knowledge Management Systems
Electronic Notes in Theoretical Computer Science (ENTCS)
An ontology-based retrieval system using semantic indexing
Information Systems
An automatic approach for ontology-based feature extraction from heterogeneous textualresources
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Web Semantics: Science, Services and Agents on the World Wide Web
Creating a semantically-enhanced cloud services environment through ontology evolution
Future Generation Computer Systems
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Knowledge-Based Systems
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Enrichment of text documents with semantic metadata reflecting their meaning facilitates document organization, indexing and retrieval. However, most web data remain unstructured because of the difficulty and the cost of manually annotating text. In this work, we present Cerno, a framework for semi-automatic semantic annotation of textual documents according to a domain-specific semantic model. The proposed framework is founded on light-weight techniques and tools intended for legacy code analysis and markup. To illustrate the feasibility of our proposal, we report experimental results of its application to two different domains. These results suggest that light-weight semi-automatic techniques for semantic annotation are feasible, require limited human effort for adaptation to a new domain, and demonstrate markup quality comparable with state-of-the-art methods.