جستجوی مقالات مرتبط با کلیدواژه « retrieval » در نشریات گروه « کتابداری و مدیریت اطلاعات »

The process of information seeking and retrieval is a very complex cognitive process. One of the important approaches to exploring and understanding this process is to examine the user’s experiences. The purpose of this study was to concept and understand the Ph.D. students’ experience of the phenomenon of information seeking and retrieval in their research process.The approach of this study was interpretative that was carried out through qualitative phenomenographical research method. The participants in this study were Ph.D. students in different fields at Ferdowsi University of Mashhad in 2019. Sampling was purposeful, criterion and snowball. The maximum diversity was considered in the sample selection and was continued to the theoretical saturation of data. Semi-structured interviews were conducted with 20 students. Interviews were implemented and analyzed through an inductive and theoretical coding method using MAQDA12 software.The results showed that after analyzing the data gathered from the interviews, six descriptive categories emerged about how Ph.D. students perceived and experienced the information seeking and retrieval phenomenon. Six categories were information seeking and retrieval as an endless sea, a valuable treasure, a road full of lights, the key to rescuing, eating the desired fruit, and a bridge to reach knowledge. The results showed that the Ph.D. students described the information seeking and retrieval in their research process as important and necessary and that their main problem was learning and teaching which made them feel unpleasant.Although this qualitative study does not aim to generalize the findings, however, according to the findings of the present research at the outcome space, this type of students’ perception and description of information seeking and retrieval phenomena at the highest academic degree is an alarm for the higher education system and should be taken seriously into consideration.

The purpose of this study is to identify the textual and paratextual elements in retrieving fiction from the readers’ perspective in order to provide the most appropriate access points for the readers and to improve access to fictions based on the readers’ needs.

The current research is an applied study in terms of purpose, applying a mixed method that was conducted using the sequential exploratory strategy. The statistical population in both stages of the study were readers of fiction literature who were selected by purposive sampling strategy. In the first stage of the study, 14 fiction readers participated in a semi-structured interview. The collected data were coded and analyzed based on the six-step content analysis framework of Brown and Clark using MAXQDA software (2018 version). In the second stage, the opinions of 12 experts in the field of fiction were used to weigh and determine the importance of each textual and paratextual element. The data collection tool at this stage was a pairwise comparison questionnaire designed based on a 9-point scale. Expert Choice software (version 11) was used to analyze the data in this stage.

According to the results of the first stage of this study, 24 textual and paratextual elements in the form of 6 main themes were identified by a thematic analysis of the interviews. Then, according to experts, 19 of these extracted elements were selected as important elements in fiction retrieval. In general, the results confirmed that from the readers’ point of view, textual and paratextual elements could be useful in understanding, evaluating, determining and selecting sources, and help fiction readers to find relevant fictions. By use of textual and paratextual elements of fiction to enrich library catalogues and create several access points, we can improve fiction retrieval. Therefore, it is suggested that these elements be used in the design and development of retrieval systems in libraries in order to increase the efficiency of these systems and enable successful search and retrieval for fiction readers.

Originality/value:

 The results of this study provide a starting point for the development and design of fiction search and retrieval systems based on the needs of the reader. By using both textual and paratextual elements of fiction to enrich library catalogs and create several access points, we can develop and improve search and retrieval systems and increase the efficiency of this systems in retrieving fictions which readers want.

Information seeking and retrieval is a cognitive and very complex process that is important and necessary in the research process. One of the important approaches in discovering and understanding this process is to examine the experiences of users. The purpose of this study has been to discover various models of doctoral students' experience of the importance and necessity of the phenomenon in the research process, of information seeking and retrieval to identify concepts that students describe in the form of descriptive categories and to discover relationships between categories. The approach of this study was interpretative that was carried out through a qualitative phenomenographical research method. The participants in this study were Ph.D. students in different fields at the Ferdowsi University of Mashhad in 2019. Sampling was purposeful and criterion. The maximum diversity was considered in the sample selection and was continued until the theoretical saturation of data. Semi-structured interviews were conducted with 20 students. Interviews were implemented and analyzed through an inductive and theoretical coding method using MAXQDA12 software. The results showed that after analyzing the data collected from the interviews, three descriptive categories on how to understand and experience Ph.D. students emerged from the importance and necessity of the phenomenon of information seeking and retrieval. The first category was the information seeking and retrieval as a valuable treasure, the second category as a road full of lights, and the third category as the key to rescuing. The results showed that students considered this phenomenon in the research process important and necessary. Although this qualitative study does not aim to generalize the findings, however, according to the outcome space indicates that the phenomenon of information seeking and retrieval in the research process is of considerable necessity and importance. Therefore, this should be considered in the university's educational and research programs, and the path in which students experience this phenomenon should be paved to minimize limitations and problems. The results of this study will provide new insights into studies in the field. Suggestions have been given to the designers of the user's information system to improve the systems so that they can improve the interaction of users with the system during the search experience. It can also help IT professionals understand users' feelings and experiences so that they can better serve their students. In addition, it helps university education and research administrators recognize students' problems and limitations and take practical, purposeful, and useful steps to improve their education and research based on user experience.

The main problem described by Wittgenstein is language, which initially conceives language as the illustrator of the facts and later in its second philosophical period, as a form of life. This paper seeks to analyze the dimensions of information storage and retrieval in light of Wittgenstein's picture and language games theories.

Wittgenstein's analytical method used in both of his books is a method of analysis or argumentation and a conceptual-linguistic method. This research was carried out by using analytical method and literature review. Information was gathered by searching for printed and electronic sources (related articles and books).

Analysis of the information storage and retrieval systems from texture, knowledge representation, indexing, spoken communities, natural language, meaning and relevance and access to content dimensions showed that the information storage and retrieval systems in the realization of their main goal, which is the transfer of information from the source of information to the searcher is faced with fundamental semantic problems. The information storage and retrieval system that provides well access to information does not function well in access to the intellectual content.

The process of analyzes and basic assumptions in the information storage and retrieval systems implies that the information storage and retrieval systems are designed based on the search indexes and expressions with static meanings and the rule of the individualism and subjectivity approach influenced by the picture theory of language. But the text as the source of information that feeds the information storage and retrieval system is no longer the area of ​​language games, and it is impossible to conceive of what the indexing system considered constant conceptions for the text as the ultimate and definitive meaning of the text.

In present study, considering the importance and role of the abstracts of scientific papers and the importance of its storage and retrieval in information retrieval systems, one of the linguistic problems of abstracts, namely, cohesion, in particular the syntactic cohesion is studied.

504 Abstracts of ISC Top journals from the seven major subject areas of science were studied based on Halliday-Hasan (1976) cohesion theory by content analysis method.

The most frequent cohesive devices used in the abstracts of the papers of ISC top journals are reference, conjunction, ellipsis and substitution. In addition, in the abstracts of basic sciences and humanities, more than other 5 areas of knowledge, cohesive devices have been used, and medicine has benefited from the least degree of cohesion. From other findings, is suggesting the addition of linguistic rules of cohesion to the ISO 214-1976 guidelines for abstracts.

Due to the small number of cohesive devices, some of the abstracts of top journal papers have less readability and comprehension. To increase readability of the abstracts, the use of cohesive devices is recommended.

The purpose of this study was to compare the impact of text based indexing and folksonomy in image retrieval via Google search engine. This study used experimental method. The sample is 30 images extracted from the book “Gray anatomy”. The research was carried out in 4 stages; in the first stage, images were uploaded to an “Instagram” account so the images are tagged with 600 contacts. In the second stage, the images were uploaded onto 2 blogs using text-based and folksonomy indexing, respectively. In the third stage, 118 medical experts were asked to find one of the images in Google’s image search engine. Finally, in the fourth stage, the rank of the retrieved images from the 2 blogs was reviewed. Based on the findings; in descriptive analysis, the scores of retrieved images was calculated and in the inferential analysis, independent Chi2 test was used to compare the search results of two blogs. The reported difference was significant. The results showed that the folksonomy improves images’ retrieval by Google search engine compared to the text-based indexing.

Today, Speed and coverage are two important factors that are considered by databases. In fact, a database in a particular subject area can be valid when a large percentage of the area covered by the thematic keywords and consequently it can provide most of the resources with the resources for that subject. The present study was conducted based on analytical - survey method with the main objectives of comparing Noormagz, Magiran and SID databases according to the rate of information, knowledge retrieval, and relevance of thematic vocabulary by free and controlled Keywords as well as Secondary objectives of comparing the coverage and overlap of these three databases of indexed journals in the field of information science and knowledge. All journals in the field of information and knowledge science are approved by the Ministry of Science, Research and Technology, according to the latest list of valid publications of this ministry in March 2016 , and key words taken from the articles in these journals were considered population of this research. Searching and comparing selected thematic keywords in each of the study databases indicated that there are a huge difference regarding free and controlled vocabulary retrieval of information and knowledge science in Noormagz database compared to the other two sites. In addition, studying the thematic relevance of research data showed that the ability of this database for receiving other related articles is more than two other databases. Although the titles of journals in Magiran database were more than those two databases and this database compared to two other databases was more update, the number of journals published in Noormagz database were more than others.

The purpose of the present study is to investigate the Impact of Image Indexing on Optimizing Image Retrieval via site operator. Using quasi-experimental method 100 images, each image was uploaded 9 times with concept-based characteristics on iiproject.ir. Analysis consists of images which retrieved from the site operator. Number of images retrieved by the site operator is 151 images of 900 ones that are used in this study. The minimum number of retrieved images is related to "image titles" and the maximum ones to the criteria images which entitled with Q code. Chi-square statistics showed that the number of images retrieved in various codes was different. The best ranking is related to “image title” and the weakest one related to “image caption in Farsi”. Images average ranking retrieved in 9 groups were different.

This paper studies the importance of image indexing with the emphasis on two techniques of concept-based and content-based related to Knowledge and Information Studies and Computer Science studies respectively. This is a literature review discussing on different approaches in image indexing. Image indexing is more complex in compare to text indexing, because looking through the images requires more attention. Images consist of different characteristics and offer various layers of meaning. Besides, images not only represent something but also convey a certain feeling. Therefore, the image characteristics and new advances in Information technology make a difference in image indexing and retrieval approaches and methods.

The purpose of the present study is to investigate the Impact of Concept-based Image Indexing on Image Retrieval via Google. Due to the importance of images, this article focuses on the features taken into account by Google in retrieving the images. The present study is a type of applied research, and the research method used in it comes from quasi-experimental and technology-based methods. 900 images with concept-based characteristics were uploaded on iiproject.ir domain. Google retrieved 417 images of 900 ones that are used in this study. In 4 codes of “image title”, “Alt text”, “property”, and images with “Q code”, no images were retrieved, so the analysis is done on the rest of 5 codes, “image caption in English”, “image caption in Farsi”, “file name”, “Controlled language” and “free language”. Paying attention to these components in uploading images on websites causes Google retrieve more images. The Chi-square test for difference of retrieved images in 5 Cods is significant, and revealed that, in different codes, significantly various numbers of images were retrieved. Caption allocation in English has the best effect on retrieving images in the study sample, while the assignation of the file name is less effective in image retrieval ranking. The Kruskal-Wallis test to assess the group differences in 5 codes is significant. It means the average of group differences across 5 codes is significant. Originality/Value: This paper tries to introduce the main elements that a search engine such as Google may consider in the indexing and retrieval of images.

The scope of debates between philosophers on objectivism and subjectivism relates to relevance which is fundamental issue of designing and evaluation of information systems. Our understanding of the topic relevance would not be complete without understanding these basic debates. The article reviewing both viewpoints tries to sum up them somehow acceptable and useful to information systems and with critical approach analyses subjective paradigm dominant in relevance literature. The present study is based on the descriptive- analysis methodology using the library sources. Necessity of more moderate and realistic viewpoints which recognize the role of experts and systems in addition to users in the literature of relevance. Also introducing the “Facet Relevance”، it has been proposed objectivism and subjectivism be recognized not only to design information systems but also to defining relevance. The effects of technology on the approaches of information system design free from theoretical viewpoints investigated too.

This paper studies presents various techniques of image indexing techniques and discusses their, (Concept-based Image Indexing, Content-based Image Indexing and Folksonomy). Advantages advantages and limitations. of these techniques will be discussed. conducting a review of the lLiterature review, it identifies three main image indexing techniques, namely concept-based image indexing, content-based image indexing and folksonomy. It then describes each technique. Concept-based iImage iIndexing is text-based based. It allows users posting their query, using keywords. The and cContent-based Image image iIndexing is pixel-based. The first approach allows users to post their query using keywords and the later one,It allows users to posting their query by based on(colour, texture, shape, etc.). Images have more semantic features and layers, as a result so; Iindexing for images is more complex than comparing to indexing for texts. That is why indexing a text differs from indexing an image. Originality/value: This article reviews the conceptual framework of image indexing and retrieval and gives a comprehensive view about this sphere by collecting a relatively complete literature about it. This consolidated review can help us to get a right view about image indexing and retrieval. and it makes the differences between text and images indexing.

This research aims to study the methods for information management (organization، storing، and retrieval) in the virtual museums of Iran. Methodology/Approach: The research method is descriptive survey and the data collection tool is a questionnaire. The research population consists of all the virtual museums affiliated to Iran''s Cultural Heritage، Handcrafts and Tourism Organization. The findings of the research show that 94. 44 percent of the museums use Jaam Software and metal objects (55. 55 percent) are the most frequent objects in the virtual museums. In 44. 4 percent of the museums، the relation between the objects of the museum and the software used is weak in terms of information organization، and revision is desirable. Furthermore، the findings showed that the software is better at storing and retrieving information; however، some features should still be added. Moreover، the findings showed that in 94. 44 percent of the studied population، storing and retrieving information is done based on controlled language and thesaurus. The findings of the research show that virtual museums should use unit software for information management in order to have better relations to each other. They should also get help from information technology specialists beside archives and museums specialists in order to improve the software features.

Digital library is an integrated set of electronic resources and services for capturing, organizing, protecting and retrieving information in digital formats. Nowadays, the emergence of semantic web and ontology, support the evolution of digital libraries and creating semantic digital libraries. Hence, the purpose of this paper is to survey into the applications of ontology in digital libraries. Ontology is a highly expressive representation of objects, classes of objects and relations between them in a particular domain. Ontology has some potential benefits such as inferencing capability, interoperability, natural language processing (NLP) support and search query understanding. Therefore it can be used to convert digital libraries to distributed and intelligent information systems and to create semantic digital libraries. Creating different capabilities in digital libraries architecture, specially inference capability, transmission of information between digital libraries and other information systems, semantic description of resources in digital libraries with mapping MARC bibliographic metadata in an ontology (such as MarcOnt ontology), improvement the question-answering system of digital libraries (such as BT Digital Library), creating a user-friendly interface and making available an easy and quick search and browsing, are some of ontology applications in digital libraries that surveyed.

Persian language and script, due to the special features of grammar and writing, create difficulties in information storage and retrieval. Because of the different approaches to writing and because of its inherent complexity. Persain script has created enormous challenges for database designers, indexers, and end-users. This study was conducted using content analysis technique. 100 dissertations were randomly selected as the samples of scholarly Persian texts in the field of LIS in the Iranian Research Institute for Information Science and Technology (IRANDOC) and the Regional Information Center for Science & Technology (RICeST). Using the Style manual adopted by the Academy of Persian Language, words that had been separated were analyzed to identify if the separations were true or false. Next, the items in both databases with different formats were searched and finally, the results were evaluated and compared. The results showed that 70.20 percent of items are correctly written. Also, it was found that 51.6o percent of these words were two-part and 47.50 percent were three-part words and most writers were confused about writing words that are two-part and derivative. In the RICeST database, titles were retrieved only with the exact format entered and in the IRANDOC database, only 58 percent of items were retrieved by changing the format of writing. This study revealed that the IRANDOC database did better in retrieving titles with different variations of writing than RICeST. Paper recommends that thesis writers also need to use a unified national rules with particular emphasis on writing two-part and derivative words.

This research aims to identify the standard criteria for information storage and retrieval in educational CDs for children by studying available methods.Design/Methodology/ Approach: The evaluation was carried out through a checklist. 47.5 percent of the criteria for information storage and retrieval and 73.67 percent of the criteria for software design were observed in the educational CDs for children. This shows that the educational CDs for children are not appropriate in terms of information storage and retrieval, but are favorable in terms of software design.