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Cerno is a semantic annotation system based on software code analysis techniques and tools proven effective in the software analysis domain for processing billions of lines of legacy software source code .Cerno has been already applied in several case studies involving the analysis of differently structured documents from the tourism sector [2,3].
Apart from semantic markup, Biblio also supports the generation of a bibliography in different formats.
The rest of the paper is structured as follows: Section 2 reviews the semantic annotation method of Cerno.
In this work, we address all these issues and provide semantic and structural annotation of document sections.
This paper presents Biblio, a tool that is based on Cerno and is intended to support the analysis of research articles.
Document source files may be stored as PDF, MS Word, La Te X, Post Script, HTML and other electronic formats; - Page layout.
Depending on the requirements of the publisher, the layout of a document varies; for example, pages may be organized in a one/two-column fashion; for papers published in journals, the header may be present on some pages; footnotes may be allowed or not, and so on; - Document structure.The reader may also be interested in finding background knowledge on which the work is based, particularly references to related work; - Bibliography generation.Normally, in order to generate each item of the bibliography, the writer has to manually find all bibliographical details of a selected document and fill the required template with this data.Such effort is required for any kind of scientific publication (e.g., dissertation, technical report, book, or journal article) in order to complete a review of the state-of-the-art and provide an appropriate bibliography of related work.Obviously, authors could benefit from assistance in collecting, managing and analyzing relevant literature.The tool performance has been evaluated on a set of papers and preliminary evaluation results are promising.The backend of Biblio uses a standard relational database to store the results.Section 5 provides results of a limited evaluation of Cerno-based annotation for a set of research papers, while section 6 surveys related work, and conclusions are drawn in Section 7.2 Text Analysis with Cerno Our document analysis is based on Cerno [1, 2], a semantic annotation system that utilizes highly efficient methods for text processing for software (code) analysis and reengineering.These services provide access to large knowledge bases of research publications, allowing a user to search for a paper and retrieve the details of its publication.In digital libraries, it is also possible to see the abstract and citations present in the paper.