{"title":"Knowledge-based metadata extraction from PostScript files","authors":"G. Giuffrida, E. C. Shek, Jihoon Yang","doi":"10.1145/336597.336639","DOIUrl":null,"url":null,"abstract":"The automatic document metadata extraction process is animportant task in a world where thousands of documents are just one``click'' away. Thus, powerful indices are necessary to support effective retrieval. The upcoming XML standard represents an important step in this direction as itssemistructuredrepresentation conveys document metadata together with the text of the document. For example, retrieval of scientific papers by authors or affiliations would be a straightforward tasks if papers were stored in XML.Unfortunately, today, the largest majority of documents on the web are available in forms that do not carryadditional semantics. Converting existing documents to a semistructured representation is time consuming and no automatic process can be easily applied. In this paper we discuss a system, based on a novel spatial/visualknowledge principle, for extracting metadata from scientific papers storedas PostScript files. Our system embeds the general knowledge about the graphical layout of a scientific paper to guide the metadata extraction process. Our system can effectively assist the automatic index creation for digital libraries.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"83","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/336597.336639","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 83
Abstract
The automatic document metadata extraction process is animportant task in a world where thousands of documents are just one``click'' away. Thus, powerful indices are necessary to support effective retrieval. The upcoming XML standard represents an important step in this direction as itssemistructuredrepresentation conveys document metadata together with the text of the document. For example, retrieval of scientific papers by authors or affiliations would be a straightforward tasks if papers were stored in XML.Unfortunately, today, the largest majority of documents on the web are available in forms that do not carryadditional semantics. Converting existing documents to a semistructured representation is time consuming and no automatic process can be easily applied. In this paper we discuss a system, based on a novel spatial/visualknowledge principle, for extracting metadata from scientific papers storedas PostScript files. Our system embeds the general knowledge about the graphical layout of a scientific paper to guide the metadata extraction process. Our system can effectively assist the automatic index creation for digital libraries.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.