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This study was conducted to investigate the bibliographic relationships in the MARC and it's consistency with the FRBR model. With establishing the necessary relations between bibliographic records, users will retrieve their necessary information faster and more easily. It is important to make a good communication in existing bibliographic records to help users to find what they need. This study's purpose was to define the relationships between bibliographic records in the National Library's OPAC database and the study's method was descriptive content analysis approach. In this study, the online catalog (OPAC) National Library of Iran has been used to collect information. All records with the mentioned criteria listed in the final report of the IFLA bibliographic relations about the first group entities in FRBR model and RDA rules has been implemented and analyzed. According to this study, if software has been developed in which the data transferring was based on the conceptual model and the MARC's data that already exists in the National Library's bibliographic database, these relationships will not be transferable. Withal, in this study the relationships on consistent FRBR and MARC concluded with an intelligent mind and the machine is unable to detect them. The results of this study showed that the relations which conveyed from MARC to FRBR, was about 47/70 percent of the MARC fields, in other hand by FRBR to MARC with the use of all intelligent efforts, and diagnosis of MARC relationships, only 31/38 percent of the relations can be covered through the MARC. But based on real data and usable fields in Boostan-e-Saadi with MARC pattern, records on the National Library of Iran showed that the results reduced to 16/95 percent. [ABSTRACT FROM AUTHOR]

The main purpose of this research was to compare the scale of web subject directories precision in information retrieval of technical-engineering science. Information gathering was documentary and webometric. Keywords of technical-engineering science were chosen at twenty different subjects from IEEE (Institute of Electrical and Electronics Engineers) and engineering magazines that situated in sciencedirect site. These keywords are used at five subject directories Yahoo, Google, Infomine, Intute, Dmoz, that were web directories high-utilization. Usually first results in searching tools are connected to searching keywords. Because, first ten results was evaluated in every search. These assessments to consist of scale of precision, scale of error, scale retrieval items in technical-engineering categories to retrieval items entirely. The used criteria for determining the scale of precision that was according to high-utilization standards in different documents, to consist of presence of the keywords in title, appearance of keywords at the part of web retrieved pages, keywords adjacency, URL of page, page description and subject categories. Information analysis was according to Kruskal-Wallis Test and L.S.D fisher. Results revealed that there was meaningful difference about precision of web subject directories in information retrieval of technical-engineering science, Therefore this theory was confirmed.web subject directories ranked from point of precision as follows. Google, Yahoo, Intute, Dmoz, and Infomine. The scale of observed error at the first results was another criterion that was used for comparing web subject directories. In this research, Yahoo had minimum scale of error and Infomine had most of error. This research also compared the scale of retrieval items in all of categories web subject directories entirely to retrieval items in technical-engineering categories, results revealed that there was meaningful difference between them. And second theory was confirmed. That Intute with 52 percent had most, and Google with 5.3 percent had least scale of ratio technical-engineering retrieval items to retrieval items in all of categories [ABSTRACT FROM AUTHOR]