499 research outputs found

    Implementation of On Page SEO for Gogalas Website

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    The study investigates various fundamental elements of On-Page SEO, encompassing the optimization of titles, the quality of content, the structure of meta descriptions and URLs, the speed of web pages, the establishment of trustworthiness, and the implementation of internal linking. The study endeavors to showcase the collective impact of these strategies on enhancing one's online profile through careful analysis and application. The implementation phase encompasses the strategic incorporation of pertinent keywords in titles and content, the optimization of meta descriptions to improve click-through rates, and the structuring of URLs for the purposes of clarity and user-friendliness. The study also examines the significance of page loading speed and security measures, both of which have pivotal roles in enhancing user experience and search engine results. Moreover, the study highlights the significance of internal linking in promoting smooth navigation and improving the overall structural coherence of the website. The study offers practical insights for website owners, digital marketers, and SEO practitioners that aim to optimize their online platforms by demonstrating the sequential adoption of various approaches. This study ultimately illustrates the efficacy of implementing On-Page SEO tactics in enhancing search engine visibility, augmenting organic traffic, and providing a more gratifying user experience for the "Gogalas" website and similar online platforms

    Query Generation as Result Aggregation for Knowledge Representation

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    Knowledge representations have greatly enhanced the fundamental human problem of information search, profoundly changing representations of queries and database information for various retrieval tasks. Despite new technologies, little thought has been given in the field of query recommendation – recommending keyword queries to end users – to a holistic approach that recommends constructed queries from relevant snippets of information; pre-existing queries are used instead. Can we instead determine relevant information a user should see and aggregate it into a query? We construct a general framework leveraging various retrieval architectures to aggregate relevant information into a natural language query for recommendation. We test this framework in text retrieval, aggregating text snippets and comparing output queries to user generated queries. We show that an algorithm can generate queries more closely resembling the original and give effective retrieval results. Our simple approach shows promise for also leveraging knowledge structures to generate effective query recommendations

    Internet based molecular collaborative and publishing tools

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    The scientific electronic publishing model has hitherto been an Internet based delivery of electronic articles that are essentially replicas of their paper counterparts. They contain little in the way of added semantics that may better expose the science, assist the peer review process and facilitate follow on collaborations, even though the enabling technologies have been around for some time and are mature. This thesis will examine the evolution of chemical electronic publishing over the past 15 years. It will illustrate, which the help of two frameworks, how publishers should be exploiting technologies to improve the semantics of chemical journal articles, namely their value added features and relationships with other chemical resources on the Web. The first framework is an early exemplar of structured and scalable electronic publishing where a Web content management system and a molecular database are integrated. It employs a test bed of articles from several RSC journals and supporting molecular coordinate and connectivity information. The value of converting 3D molecular expressions in chemical file formats, such as the MOL file, into more generic 3D graphics formats, such as Web3D, is assessed. This exemplar highlights the use of metadata management for bidirectional hyperlink maintenance in electronic publishing. The second framework repurposes this metadata management concept into a Semantic Web application called SemanticEye. SemanticEye demonstrates how relationships between chemical electronic articles and other chemical resources are established. It adapts the successful semantic model used for digital music metadata management by popular applications such as iTunes. Globally unique identifiers enable relationships to be established between articles and other resources on the Web and SemanticEye implements two: the Document Object Identifier (DOI) for articles and the IUPAC International Chemical Identifier (InChI) for molecules. SemanticEye’s potential as a framework for seeding collaborations between researchers, who have hitherto never met, is explored using FOAF, the friend-of-a-friend Semantic Web standard for social networks

    Featured Snippets Results in Google Web Search: An Exploratory Study

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    In this paper authors analyzed 163412 keywords and results with featured snippets collected from localized Polish Google search engine. A method-ology for retrieving data from Google search engine was proposed in terms of obtaining necessary data to study featured snippets. It was observed that almost half of featured snippets (48%) is taken from result on first ranking position. Furthermore, some correlations between prepositions and the most often appearing content words in keywords was discovered. Results show that featured snippets are often taken from trustworthy websites like e.g., Wikipedia and are mainly presented in form of a paragraph. Paragraph can be read by Google Assistant or Home Assistant with voice search. We conclude our findings with discussion and research limitations.Comment: 10 pages, 6 tables, accepted to conference ICMarktech'1

    Attracting Ideal Customers Through Inbound Marketing : Case: KOULU Education Group Oy

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    This thesis was written for a commissioning company called KOULU Education Group Oy. The objective of this thesis was to create a guideline that helps the commissioning company attract its ideal customers through inbound marketing. Inbound marketing is a marketing approach that is becoming increasingly important for companies as traditional, outbound, marketing is losing its effectiveness. The project started with gaining an understanding of inbound marketing and the first inbound marketing action, to attract. The first inbound marketing action describes a methodology of attracting ideal customers to a company, specifically to a company’s website. This task required researching literature and online sources related to the topic. When theoretical knowledge had been obtained, the company staff and intermediaries were interviewed. The company staff was interviewed face to face with an aim to gain an understanding of the company background. The intermediaries, who represented the company’s target markets in Turkey, India and Pakistan; were interviewed via Skype. The purpose of the interviews with the company’s intermediaries was to gain an understanding of the company’s ideal customers and consequently to create the company’s buyer personas. As the company was not completely new into the inbound marketing methodology, conducting a situational analysis of the company’s first inbound marketing action implementation was essential. Situational analysis was conducted through the author’s structured observation and utilization of various free online analysing tools. Based on the outcome of the situational analysis and the previous tasks, a guideline for the commissioning company was created. The outcome of this project is a guideline that helps the commissioning company attract its ideal customers through inbound marketing. The guideline first introduces the inbound marketing and the first inbound marketing action, to attract, from a theoretical point of view. After that, the actual recommendations on attracting the commissioning company’s ideal customers are provided and suggestions for further steps by the company are listed. The buyer personas developed for the company are included in an attachment for the guidelines. The project was implemented according to a plan and the guideline was positively accessed by both the company and the author. The project can be thus considered successful

    Predicting reuse of end-user web macro scripts

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