Method and system for validating references
View Patent ↗The present invention relates to enhanced workflow solutions for authors (e.g., researchers, scientists, and scholarly authors) and publishers (e.g., journals and professional and technical societies) in preparing documents in structured format for facilitating efficient and accurate validation of references cited or included in papers and other submissions for publication or for review. An author prepares a document containing a set of cited references using a formatting structure. A system includes a processor to process the document to extract embedded metadata associated with the set of cited references. The processor executes code associated with a reference validation software module and automatically recognizes the formatting structure and the embedded metadata. The processor automatically extracts the embedded metadata and compares the extracted metadata against an authority database to determine the validity of the set of cited references.
1. A computer-based method for preparing a document for publication, the method comprising:
receiving an electronic document previously prepared by an author using a markup formatting structure, the electronic document including a set of cited references and having a descriptive metadata associated with a set of components of the set of cited references embedded in accordance with the markup formatting structure; and
executing on the electronic document a reference validation process adapted to recognize the markup formatting structure and the embedded metadata and further adapted to extract the embedded metadata and compare the extracted metadata against a set of at least one authority database to determine the validity of the set of cited references.
2. The method of claim 1 further comprising generating an output comprising data representing the validity determination.
3. The method of claim 2 wherein the output further comprises data representing an option to revise invalid cited reference data, the output being presented to one or both of the author and a publisher for revising at least one invalid cited reference datum and generating a revised set of data.
4. The method of claim 3 further comprising executing on the revised set of data the reference validation process for further validation.
5. The method of claim 2 , wherein the output comprises data respecting one or both of at least one valid cited reference and at least one invalid cited reference and comprises at least one of the following: error data; suggested correction data; and data related to confirmed citations that match closely with data from the set of cited references.
6. The method of claim 1 wherein the electronic document is received by a publisher and the publisher causes the reference validation process to be executed on the electronic document prior to publication of the electronic document.
7. The method of claim 1 further comprising parsing data from the set of cited references and comparing the parsed data with data from the set of at least one authority database to determine the validity of the parsed data.
8. The method of claim 1 , wherein the set of at least one authority database includes at least one of the following databases: ISI Web of Science, ISI Web of Knowledge, National Library of Medicine PubMed, CrossRef, BIOSIS, Dialog, library OPACS, Medline, ProQuest, Ovid, Ebsco, and WilsonWeb.
9. The method of claim 1 , wherein the electronic document is received from an author and the method is performed to validate the set of cited references contained in the electronic document prior to submission of the electronic document to a publishing entity.
10. The method of claim 1 further comprising: creating the electronic document according to the formatting structure including inserting the embedded metadata in the electronic document.
11. The method of claim 1 , wherein the electronic document includes formatted data elements associated with citation information associated with the set of cited references, the method further comprising parsing the formatted data elements based on the formatting structure to yield parsed data and comparing the parsed data with data from the set of at least one authority database to determine the validity of the parsed data.
12. The method of claim 1 , wherein the formatting structure is a markup process based on one of XML, GML, and SGML.
13. The method of claim 1 further comprising establishing a communication link with the set of at least one authority database over at least one computer network.
14. The method of claim 1 , wherein the set of cited references comprises one or more of citation data, author data, publication source data, address data, volume data, ISSN, volume, issue, page, DOI, URL, and date of publication data.
15. The method of claim 1 further comprising:
determining a set of at least one invalid data from the set of cited references;
revising at least a portion of the set of at least one invalid data to form a set of revised data; and
automatically comparing the set of revised data against the set of at least one authority database to determine the validity of the set of revised data.
16. The method of claim 1 further comprising:
determining a set of at least one invalid data from the set of cited references;
presenting a user with the set of at least one invalid data;
receiving from the user a set of revised data; and
automatically comparing the set of revised data against the set of at least one authority database to determine the validity of the set of revised data.
17. The method of claim 1 , wherein determining the validity of the set of cited references is based solely on the extracted embedded metadata.
18. The method of claim 1 , wherein the embedded metadata is hidden and does not include visible text.
19. The method of claim 1 , wherein the extracting, comparing and determining aspects of the reference validation process occur without user intervention.
20. A system for preparing electronic documents for publication, the system comprising:
a. a processor adapted to process at least one electronic document containing a set of at least one cited reference, the electronic document being previously prepared by an author using a markup formatting structure and having a descriptive metadata associated with a set of components of the set of at least one cited reference embedded in accordance with the markup formatting structure; and
b. a reference validation software module comprising code executed by the processor and adapted to automatically recognize the markup formatting structure and the embedded metadata and further adapted to automatically extract the embedded metadata and compare the extracted metadata against a set of at least one authority database to determine the validity of the set of at least one cited reference.
21. The system of claim 20 , wherein the set of at least one authority database includes at least one of the following databases: ISI Web of Science, ISI Web of Knowledge, National Library of Medicine PubMed, CrossRef, BIOSIS, Dialog, library OPACS, Medline, ProQuest, Ovid, Ebsco, WilsonWeb, and a journal-configured external database.
22. The system of claim 20 wherein the reference validation software module is adapted to determine the presence of a set of at least one invalid data from the set of at least one cited reference, process a set of revised data; and automatically compare the set of revised data against the set of at least one authority database to determine the validity of the set of revised data.
23. The system of claim 22 wherein the set of at least one invalid data is presented to a user and the user revises at least a portion of the set of at least one invalid data to form the set of revised data.
24. The system of claim 20 wherein the formatting structure is based on one of XML, GML, and SGML.
25. The system of claim 20 further comprising an output software module comprising code executing on the processor and adapted to automatically generate an output respecting the validity of the set of at least one cited reference.
26. The system of claim 25 , wherein the output comprises data respecting one or both of at least one valid cited reference and at least one invalid cited reference.
27. The system of claim 25 , wherein the output includes data representing one or both of a match or a failure to match between the set of at least one cited reference and the valid reference data.
28. The system of claim 25 , wherein the reference validation software module further comprises code executed by the processor and adapted to automatically determine a similarity between each of the set of at least one cited reference and the valid reference data, and wherein the output includes data respecting at least one possible match between the set of at least one cited reference and the valid reference data.
29. The system of claim 28 wherein the output indicates those of the set of at least one cited reference having one or more possible matches with the valid reference data and presents the possible matches for selection by a user.
30. The system of claim 28 wherein the output is presented to a user for action and the user provides at least one response respecting validation of the set of at least one cited reference.
31. The system of claim 30 wherein the at least one user response includes at least one of a verification, a repudiation, or selection respecting the at least one possible match.
32. The system of claim 20 further comprising:
an author computer adapted to structure the electronic document according to the formatting structure; and
a central computer comprising the processor and being adapted to receive the electronic document.
33. The system of claim 32 , wherein the central computer further comprises a parser adapted to parse data contained in the electronic document associated with the set of at least one cited reference to yield parsed cited reference data, and wherein the reference validation software module uses the parsed cited reference data to compare the set of at least one cited reference against the set of at least one authority database.
34. The system of claim 33 , wherein at least one of the author computer and the central computer is adapted to process the electronic document using a structured format language.
35. The system of claim 20 , wherein the reference validation software module is adapted to extract the metadata into XML.
36. The system of claim 20 , wherein the set of at least one authority database includes at least one journal-configured external database.
37. The system of claim 20 , wherein the reference validation software module is further adapted to present to a user data related to the validity determination and to receive from the user verification data associated with the set of at least one cited reference.
38. The system of claim 37 , wherein the data related to the validity determination includes data representing authenticated references contained in the set of at least one authority database and having high similarity with at least a portion of the set of at least one cited reference.
39. The system of claim 37 , wherein the verification data is used to revise the electronic document.
40. The system of claim 20 , wherein determining the validity of the set of cited references is based solely on the extracted embedded metadata.
41. The system of claim 20 , wherein the embedded metadata is hidden and does not include visible text.
42. The system of claim 20 , wherein the extracting, comparing and determining aspects of the reference validation software module occur without user intervention.
43. A computer-based method for preparing a document for publication, the method comprising:
receiving a set of hidden descriptive metadata embedded in an electronic document in accordance with a markup formatting structure, the hidden descriptive metadata relating to a set of references cited in the electronic document;
executing by a processor a reference validation process adapted to:
recognize the markup formatting structure and the embedded hidden descriptive metadata;
upon recognizing the markup formatting structure and the embedded hidden descriptive metadata, extract the embedded hidden descriptive metadata; and
compare the extracted metadata against a set of at least one authority database to determine the validity of the set of cited references.