جستجوی مقالات مرتبط با کلیدواژه « Search engine optimization » در نشریات گروه « کتابداری و مدیریت اطلاعات »

Considering the emergence and increasing expansion of various subject domains and the lack of a valid codified thesaurus, the main aim of this study is to provide a semantic model of information security based on a conceptual network for use in domain ontologies, so it is applied research.

The research method is a combination of co-word analysis, library, and Delphi methods. In the first stage, the conceptual network was extracted from 7547 scientific documents on "information security" using the co-words analysis method. These documents were indexed in the Scopus databases and WOS from 2013 to 2017. Pre-processing operations on 19648 keywords and tags were done in a completely targeted manner by using five dictionaries in information security, and three dictionaries in computer science. With a minimum co-occurrence of 5 for each word in "VOS Viewer", 207 preferred concepts were selected based on the latest version of the information security dictionary, and its conceptual network was mapped. By "Gephi", betweenness centrality, density, and clustering coefficient indices were checked. Then in the second stage, for extracting a new semantic model, used the library method. So, seven related semantic models: Security ontology, information security ontology, attack ontology, vulnerability ontology, existence - Ontosec mapping, and threat taxonomy as well as the conceptual model of information systems security in libraries. These entities, classes, subclasses, relationships between them, concepts, and examples attributed to each class and subclass were studied and examined carefully. Then, 207 conceptual network concepts were adapted to the common components of these models, and a new model was presented. Finally, in third stage, using the fuzzy Delphi technique, the consensus of experts in both fields of Knowledge and Information Science (KIS) and Computer Sciences was examined. Using SPSS and Kendall's non-parametric test, the experts' agreement coefficient about the classes and sub-classes, as well as their associated concepts, were investigated. 5 classes, 6 subclasses and also 71 concepts out of 97 common concepts with an agreement coefficient above 0.7 were obtained. Finally, confirmatory factor analysis and Smart PLS structural modeling were used to check the correctness of the relationships governing the classes and subclasses in the conceptual model.

The main nodes and strong links in the conceptual network of information security include: "information security," "security," "information system," "privacy," "telecommunication," "information," "intrusion detection system," "cryptography," "cyber security," "authentication," "network," "risk," "threat," and "risk management framework." The extracted semantic model has a goodness of fitting (GOF) of 0.710 and confirms 11 semantic relationships. These relationships include: "Requires level," "Diminish," "Threatens," "Exploited by," "has Source," "Uses of," "Lead to," "Attack," "Vulnerability on," "Implemented by," and "Reduce." Also, it has 5 main classes, including "Information Asset," "Security Attribution," "Threat," "Vulnerability," and "Countermeasure." There are also 6 subclasses, which include "Threat Source," "Access Path (influence way)," "Threat Tools," and "Attack," all related to the Threat class. Additionally, there are Technological countermeasures and Organizational countermeasures, which are related to the Countermeasure class. Also, it was discovered that there are 71 attributive concepts, some of which include: Password, Smart card, User, Integrity, Hacker, Malicious code, Virus, Distributed Denial Of Service (DDOS), Risk management, Backup, Digital signature, Penetration testing, Antivirus, Firewall, and so on.

The conceptual network and semantic model can be inferred in semantic systems and databases. This research can provide a new method for creating high-level ontologies to optimize search engines and reduce false dropping, as well as recover unwanted information.

Due to the fact that library catalogs are often hidden in the invisible web, the purpose of the present research has been increasing visibility and findability of bibliographic records of Online Public Access Catalog’s (OPAC) of the NLAI. Also, SEO components (i.e. visibility, ranking and click through rate) were measured in Google before and after using the Google Search Console.  The research method is action research. Bibliographic records of NLAI Sitemaps were submitted to Google Search Console. Lewin's three steps (planning, execution and evaluation) were used to design the research steps.  Less than four months from submission, a fivefold increase (from 17948 to 90330) in indexing records was observed. During this period, 4% of URL sitemaps submitted to Google Search Console were indexed. This number is increasing daily. From the perspective of other SEO components (ranking and click-through rate), the ranking decreased from 7.8 to 8.6. Also the click-through rate decreased from 12.5% to 11.1%. The highest click-through rate was for desktop with 19.3%.  Click-through rate is calculated by dividing number of clicks by the number of impressions. As the number of impression of OPAC in Search Engine Results Pages increased due to the indexing of records, the number of clicks must also increase in order to achieve a high click-through rate. The click-through rate increases the OPAC’s NLAI ranking from eighth to first to third. By improving the infrastructure and addressing the problems with tags and meta tags, ranking could increase. Doubling the click-through rate on desktop compared to mobile phone is also a warning to the National Library of Iran to fundamentally changes its OPAC architecture. This structure was designed fifteen years ago and needs to be redesigned. Nowadays, to be mobile friendly is a highly important characteristic in Google rankings. The NLAI like other OPACs in the world, needs strategic and continuous planning for high visibility and ranking on the web

To explore, analyze, validate the merits of the SEO Entrepreneurship Questionnaire for Knowledge and Information Science professionals.

The sample size estimation and control for this survey were determined using Morgan table and simple random probability sampling. Based on the first extracted competencies of entrepreneurship in the field of SEO as a content analysis construct, a researcher-made questionnaire was developed using a web-based questionnaire. Face validity of the questionnaire was confirmed by experts in the field. The reliability of the questionnaire was confirmed by Cronbach's alpha test.

The results showed that the six categories include "basic IT skills", "regular or organic SEO", "external site SEO", "paid SEO or click", "website design and management tools" and "value added of Knowledge and Information Science in SEO field" were the main influencing variables for evaluating SEO entrepreneurship competencies for Knowledge and Information Science graduates.

Findings can be used to study, analyze and revise Knowledge and Information science topics in search engine optimization.

In the current situation of employment in the field of Knowledge and Information science (KIS), it is essential to carry out researches that provide a groundwork for entrepreneurship and employment. The main goal of this study is to conduct a qualitative content analysis of the new syllabus of KIS in order to identify entrepreneurship competencies in the field of Search Engine Optimization (SEO) and the degree of compliance of the syllabus with it.

The present study is an applied research based on a qualitative content analysis method. The research population included ads for the SEO field and the latest approved syllabuses of the undergraduate and masterdegrees in the KIS.

The main entrepreneurial competencies of SEO in the form of Content Analysis Structures were developed in five general categories and 39 items. The analysis of the syllabuses showed that there was 66% of the SEO competencies in the KIS’s syllabuses.

The results showed that the main drawbacks of the KIS’s syllabus in web topics are site optimization for search engines (SEO) as well as entrepreneurship, and reviewing and updating the syllabus is essential in this regard.