Nowadays, standardized metadata for geospatial data is a key in sharing and finding information on the web and crucial in building Geospatial Data Infrastructure (GDI). The main objective of this paper was to develop a web-based metadata dissemination system for in-situ sensors based on, most importantly, interoperable, standard and open technologies introduced by Open GIS Consortium (OGC), namely Geography Markup Language (GML). In this research, at first a use case diagram was developed to demonstrate the user’s requirement. Then, an application XML schema based on user’s requirement was created. To build this schema, some GML schema documents (developed by Open GIS Consortium (OGC)) were imported into the application schema. System architecture was designed based on client/server model and a UML class diagram was also developed to present all classes and their attributes, operations and associations within the system. Implementation was conducted using GML, XML, XMLHTTP, DOM, ASP, and VBScript that brought out a web-network-based in-situ sensors metadata application. This application provided a user friendly interface to search and find sensor related information. Results showed that although GML and XML are powerful tools to build geo-metadata, it is important to note that GML document size may be a problem when dealing with huge amount of data.

Purpose: Designing metadata ontology model for semantic representation of Theses by using the SPAR (Semantic Publishing and Referencing) Ontologies.Method: This study was an applied form and two methods were used, Content Analysis and mapping. The metadata of 69 theses and dissertations on the National Library and Archive of Iran in three Databases: 1) Digital Library of National Library and Archive of Iran. 2) Rasa Software and 3) Ganj in the Iranian Research Institute for Information Science and Technology were selected modified and completed by mapping. On the other hand, by analyzing the entities of each SPAR ontology and suggesting another entity to the researcher, the checklist was formed. This checklist included classes, properties, and individuals. At last, by entering them into Protégé software version 5.5, the model of metadata ontology, MdOntTDs, was drawn.Findings: Findings identified deficiencies in the existence of four important metadata elements (subject, supervisor, advisor, and abstract) in RASA and NLAI Digital Library. Among the 18 SPAR Ontologies, the most entities were selected from FaBiO, FRAPO, and CiTO respectively. All entities of BiDO, BiRO, C4O, Fivestar, FR, FRBR, PO, PRO, PSO, and PWO were suitable for theses. 195 individuals from 6 SPAR Ontologies, 292 individuals labeled with MdTDs from theses, and 100 individuals labeled with SUNMdTDs were selected by the researcher and entered into the software. 1558 entities categorized by class, Properties (object, data, and Annotation), and individuals along with the description and definition of each entity were placed in the software, in the form of hierarchical and determining axioms for classes. And specifying domain and range for relationships. Finally, the RDF graph was drawn using the OntoGraf plugin, and the final Model, MdOntTDs was developed. this research has proposed three new types of metadata: 1) Except for the existing keywords, topics have been categorized and modeled up to three levels including 4 main categories, 16 subcategories, and many units. Each of these final topics has been related to “hasSubject” and “isSubjectOf” properties. 2) The research methods of Theses that were connected with “hasMethod” and “used in” properties. 3) The papers taken from Theses were also searched, as far as possible, and were connected with “hasJournalArticle” and “journalArticleOf” properties.Conclusion: This model, if implemented, can overcome keyword search limitations, the problem of linking and Data sharing on the web, and the inconsistency of data. In the software, classes and their related individuals are visible in the form of a hierarchical network in RDF triples, and the connection between entities with increasing access points promises deeper semantic searches. However, due to the absence or lack of tagged and linked data, usage of the some of selected entities is not possible.

Purpose: This research aimed to evaluate and validate the metadata of learning objects in organizational repositories of Iranian medical sciences universities based on the standard of learning object metadata.Method: This research was conducted with a thorough approach, utilizing observation and survey methods. We identified sixteen repositories related to Iranian universities of medical sciences. The metadata elements of learning objects and the standards used in organizing electronic learning objects in these repositories were meticulously identified. The elements from the electronic learning objects of the institutional repositories of Iranian medical sciences universities were then matched with the checklist of standard learning object metadata elements, and their overlap was determined to describe the electronic learning objects in the organizational repositories. The next part of the research involved the implementation of the Delphi technique and the validation of the metadata elements of the learning objects in the organizational repositories of the universities of medical sciences in Iran. A questionnaire was designed for the statistical community, which included specialists in the field of information organization and specialists in the field of e-learning, and was sent out in two rounds.Findings: The findings showed that many of the standard metadata elements of the learning object are not covered, and out of the 60 standard metadata elements of the learning object, 25 elements (41%) are covered. Metadata elements related to the life cycle characteristics of electronic learning objects had the highest degree of matching (66%). In comparison, elements related to the genera category of learning objects with six items (60%) of 10 features had the second highest degree of matching. The compliance rate is zero in the Annotation category of the metadata standard of the learning object. The degree of compliance is reported for one item for the description of metadata and the rights of learning objects. The findings from the Delphi rounds showed that in determining the importance of metadata elements for describing e-learning objects, which was designed with a Likert scale (very large to very low), the favourable result was about the presence of metadata elements in the organization. The storage of electronic learning objects in the institutional repositories of Iranian medical sciences universities was obtained with 89.73% frequency. The findings from the first and second rounds of Delphi about determining the correspondence of the metadata elements of the description of electronic learning objects with the standard metadata elements of the learning object showed that 97.24% had the highest correspondence.Conclusion: The potential impact of this research is significant. The findings suggest that in creating metadata schemas and guidelines, it is crucial to ensure their compliance with the chosen standard. The learning object metadata standard, with its breadth, comprehensiveness, and acceptability, emerges as a suitable standard for organizing electronic learning objects in the organizational repositories of Iran's universities of medical sciences. The evaluation of the questionnaire revealed that a limited percentage of experts disagreed with the presented items. However, the evaluators largely agreed with the mentioned items, enhancing the credibility and potential impact of the research.

In today's world, social networks that have become a part of people's daily life, including Twitter, Telegram, Instagram, etc., are increasing and expanding day by day. Therefore, the number of their users is also increasing and as a result, a large amount of data is being exchanged and stored in these network; and this huge amount of data has turned social networks, especially Twitter, into big data. It is very important to manage, organize and prune these big data, as well as to predict the behavior of social network users. One of the most important and effective methods for predicting user relationships in social networks is classification techniques, which in most of the applications and researches in the background of the research, are still based on criteria such as ‘accuracy; and accuracy of prediction. have weakness In this article, in order to predict the user relationship in Twitter social networks, the cumulative classification method based on voting, which has two basic steps, has been used. In the first step, by using basic classification algorithms including nearest neighbor, decision tree, random forest and simple Bayesian, the outputs of each classification are obtained. In the second step, the final output of cumulative classification is calculated using the voting method. The results of the experiments on the dataset of the Twitter social network and based on the criteria of accuracy, correctness and coverage, argue that the proposed cumulative classification method based on voting has more favorable results than It has other algorithms      

Purpose: This paper examines and compares compliance of seven software, namely Calm for Archives Version 9. 3, Collective Access Version 1. 7, Archives Space Version 2. 4. 1, Archivematica Version 1. 8, Adlib XPlus Version 2, Cuadra Star Single version and Eloquent Archives Single version with the existing archival standards. Methodology and Research Design: A researcher deigned checklist consisting of 9 main and 62 sub-sections was used to record 272 features of the archival software, then compared against existing standards and with each other. Findings and Conclusion: Significancant differences were noticed. Calm for Archives, Collective Access, Archives Space, Archivematica, Adlib XPlus, Cuadra Star, Eloquent Archives are (p-value) <0. 05. In addition, the chi-square was larger than the critical table χ 2 with df = 1. Most features and capabilities respectively are archival softwares: Archives Space 54%, Adlib XPlus 39%, Eloquent Archives 37%, Calm for Archives 29%, Collective Access 28%, Archivematica 27%, and Cuadra Star 26%. With respect to the support of metadata standards, Archives Space, Cuadra Star, Eloquent Archives, Archivematica, Collective Access, Calm for Archives, and Adlib XPlus will be archiving, and in support of archival standards, respectively, Archives Space, Eloquent Archives, Adlib XPlus, Cuadra Star, Calm for Archives, Collective Access and Archivematica. Regarding the support of the exchange protocols, Archives Space earned the first position and Adlib XPlus, ranked second, while the rest of the softwares were similar.

The present study aimed to improve the management of the organizational metadata and the design of metadata registry for the library complex of ShahidBeheshti University of Medical Sciences using analytical-asystematic approach. The statistical population of the study included the metadata records from the 23 libraries (central, college, and hospital libraries) affiliated to the ShahidBeheshti University of Medical Sciences. A researcher-made questionnaire was used to collect the data on the goals and local needs of the above-mentioned libraries to generate metadata records and their management. The questionnaire was completed by the managers of the libraries and librarians in the processing and organization department using the method of observation designed by the researcher on the metadata databases for the studied libraries. Accordingly, the goals, features, and local needs of the current libraries were extracted in the field of the creation and management of metadata, as well as their policies and expectations for the future. The research findings indicate that the coherence and consistency in the creation and management of metadata is not at a desirable level for the description and organization of the content objects, as well as the consistency of metadata in accordance with the goals and local needs of the studied libraries. It seems that this inconsistency is due to some factors including the lack of clarity of all features and local needs of libraries (in general, the organizational context) and the lack of codified policies for the metadata management, as well as the lack of precision in defining their native goals and functions from the perspective of metadata management. In order to optimize the management of metadata, “ the metadata registry schema of the libraries of ShahidBeheshti University of Medical Sciences” was designed in accordance with their goals and the identified local needs based on thechecklist designed in accordance with the metadata standards, including the schema objectives (the native context and data entities), formal description components (schema definition and the implementation schema), and the schema components (the metadata schema and metadata application profiles).

The idea of automatic generation of data entry forms based on relational data models is a common and known idea that has been discussed day by day more than before according to the popularity of agile methods as well as improvement of programming tools in software development. One of the requirements of automation methods, whether in commercial products or relevant research projects, could be the concept of metadata as a mediator between database and data entry forms. The metadata usually includes some schemas and constraints of target database, which could be used as a model for automatic generation of data entry forms. However, the most metadata models proposed in relevant researches have simple and undetailed structure. In other words, only the initial requirements of data entry are covered in the proposed metadata. In this study, the main objective is to emphasize the structure of metadata to discuss its enrichment methods to cover more data entry requirements. In this regard, some parts of a metadata model are also presented for objectification of the ideas.