An exploration of risk information search via a search engine: Queries and clicks in healthcare and information security

2012 ◽  
Vol 52 (2) ◽  
pp. 395-405 ◽  
Author(s):  
Jingguo Wang ◽  
Nan Xiao ◽  
H. Raghav Rao
Keyword(s):  
Information Security ◽  
Search Engine ◽  
Information Search ◽  
Risk Information

scholarly journals Perilaku Pencarian Informasi Generasi milenial untuk Memenuhi Kebutuhan Informasi Mahasiswa Universitas Negeri Padang

2019 ◽  
Vol 8 (1) ◽  
pp. 562
Author(s):  
Yuni Rahmah ◽  
Elva Rahmah
Keyword(s):  
Search Engine ◽  
Information Search ◽  
Information Seeking ◽  
Millennial Generation ◽  
Information Needs ◽  
Information Source ◽  
The Internet ◽  
State University ◽  
Google Search ◽  
Source Of Information

AbstractIn this paper the language about Millennial Generation Information Search Behavior To Meet Information Needs. This study aims to describe the information seeking behavior of the millennial generation to meet the information needs of this study at the Padang State University. Data were collected through observation and distribution of questionnaires with students of the Indonesian and Regional Languages and Literature Department at Padang State University. Analyzing the data, concluded the following matters. (1). Starting - consists of activities that initiate information seeking activities. In general (100%) determine the topic especially before conducting an information search, in general (90%) conduct information search after discussion or consultation with lecturers, in general (95.23%) know the information needs when attending lectures, (88.4 %) know the information needs specifically, and in general (88%) do information when they are aware of and know the need for information. (2). Chaining - activities following a series of citations, citations or forms of reconciliation between documents with each other. In general (92.8 uses a bibliography to search information, generally (90.4%) use the author's name from the core reference to look for other references in conducting information searches, and in general (92.9%) use subjects from core reference to look for other references (3) Browsing - merawak, looking for, but rather directed, in areas that are considered to have the potential for the information needed.In general (73%) libraries can always meet information needs, in general In general (95.2%) look for information on the internet if the information you are looking for is not found in the printed source of information, (92.8%) generally directly looking for information on the internet if the information you need is not found in the printed source of information, at generally (45.22%) query identification (keywords). (4). Differentiating - sorting, using the features in the information source as a basic reference for checking quality or information content. in general (88%) the internet is the main source of information, in general (92.84%) The source of information printed is still very much needed in fulfilling information needs. (5). Monitoring - monitoring progress by focusing on selected sources. In general (88.09%) looked for the latest information through the internet by searching for the latest articles, in general (78.56%) needed to find the latest information to enrich the reference sources. (6). Extracting - systematically digging in one source to retrieve information that is considered important. In general (90.47 when you need information you often search the search engine (google, yahoo), in general (88.09 often uses a journal database to get information, in general (78.56%) after getting information on the internet , you directly copy the information, in general (76.19%) use the "Google" search engine because it is more relevant than other search engines.Keywords: behavior, millennial generation and information.

scholarly journals Information Sciences in the Schedules of Library Bibliographic Classification

2019 ◽  
Vol 68 (5) ◽  
pp. 455-464
Author(s):  
Galina V. Yakovleva
Keyword(s):  
Information Technology ◽  
Information Security ◽  
Mathematical Modelling ◽  
Web Sites ◽  
Information Search ◽  
Information Science ◽  
Scientific Information ◽  
Information Activity ◽  
Network Equipment ◽  
Technology And Literature

Library bibliographic classification (LBC) is the national classification system of Russia. The article briefly covers the history of the LBC and presents the structure and content of new sections of the LBC schedules, reflecting the modern literature on information science, information technology and cybernetics. The author considers specific features of delimitation of literature within the sections and between other divisions of the LBC medium schedules. Cybernetics section gives the most general and modern definition of cybernetics as the science of systems organization and control. The article studies the principles of literature delimitation between cybernetics, social and economic sciences. The author determines the main place for general literature on mathematical modelling and other methods of process control simulation. The article considers the principles of delimitation from the literature using mathematical modelling as a research method. The author presents the control system as a complex of interrelated and interdependent elements that form an ordered integrity and unity. In the construction of “Informatics and information technology” section the priority is given to the literature for users. The author analyses the principles of delimitation between informatics, mathematics, technology and scientific-information activity. The sources on preparation of text and graphic documents, technical and accounting documentation are considered as information technology, and literature on study and use of computer programs for these purposes is collected in the relevant divisions on computer technology. The article studies the principles of delimitation of literature on information processes in computer networks, network equipment, etc. The author determines the main place for the literature on Internet technologies and analyses the principles of delimitation from the literature on information search as scientific-information activity, creation and programming of web sites. There is fixed the place for literature on information systems and databases, the main areas of research in the field of artificial intelligence, virtual reality and virtualization technology. “Information security” completes the section. Delimitation is carried out with the legal basis of information security and engineering protection of information. New sections of the LBC schedules have improved the classification of literature and made it more convenient to search the catalogues.

Search Engine Optimization

2018 ◽  
pp. 8046-8055 ◽  
Author(s):  
Dimitrios Giomelakis ◽  
Andreas A. Veglis
Keyword(s):  
Search Engine ◽  
Information Search ◽  
Search Engines ◽  
Basic Knowledge ◽  
Web Content ◽  
Social Signals ◽  
Search Engine Optimization ◽  
Current State ◽  
The Many ◽  
Different Characteristics

In this article, we will discuss at length the subject of Search Engine Optimization (SEO), its different characteristics and why basic SEO knowledge is considered as a useful tool for any web business. The article will address both the theoretical and practical issues related to the design and implementation of SEO and also will cover previous research done on this topic. In order to give a better understanding of the importance of SEO in the current state of the Internet and in information search, basic knowledge of how search engines operate along with their recent updates will also be provided. The development of World Wide Web (Web 2.0) along with the growth of search engines over the last decade has brought significant changes in web content. In this context, we will see how SEO has evolved over the years since mid 90's when it first emerged. Nowadays, social media and social signals have increasingly become one of the many factors search engines take seriously into account, which is another issue that this article will address.

How People Approach Finding Information

2012 ◽  
pp. 398-427
Keyword(s):  
Search Engine ◽  
Cognitive Processes ◽  
Information Search ◽  
Review Article ◽  
Information Architecture ◽  
Extensive Review ◽  
Mental Processes ◽  
Search Results ◽  
Web Information ◽  
Search For Information

This chapter does not address the topics typically covered in articles on searching for Web information, such as search engine optimization or how to develop an information architecture (IA). At best it could only touch on those topics, and many more sources give better coverage. Instead, it considers the cognitive processes of how people go about searching for information, which is at the root of any effective IA. It considers the forces which drive people to search for information and what mental processes are involved as they evaluate search results as they work toward a stopping point. For an extensive review article on information search research, see Hsieh-Yee (2001).

Search Engine Optimization

2019 ◽  
pp. 1789-1800 ◽  
Author(s):  
Dimitrios Giomelakis ◽  
Andreas A. Veglis
Keyword(s):  
Search Engine ◽  
Information Search ◽  
Search Engines ◽  
Basic Knowledge ◽  
Web Content ◽  
Social Signals ◽  
Search Engine Optimization ◽  
Current State ◽  
The Many ◽  
Different Characteristics

In this chapter, the authors discuss at length the subject of search engine optimization (SEO), its different characteristics, and why basic SEO knowledge is considered as a useful tool for any web business. The chapter will address both the theoretical and practical issues related to the design and implementation of SEO and also will cover previous research done on this topic. In order to give a better understanding of the importance of SEO in the current state of the internet and in information search, basic knowledge of how search engines operate along with their recent updates will also be provided. The development of World Wide Web (Web 2.0) along with the growth of search engines over the last decade has brought significant changes in web content. In this context, the authors show how SEO has evolved over the years. Nowadays, social media and social signals have increasingly become one of the many factors search engines take seriously into account, which is another issue that this chapter will address.

Context-Aware Mobile Search Engine

2012 ◽  
pp. 371-385
Author(s):  
Jawad Berri ◽  
Rachid Benlamri
Keyword(s):  
Web Services ◽  
Search Engine ◽  
Information Search ◽  
Web Search ◽  
Fine Tuning ◽  
Context Information ◽  
Context Model ◽  
Mobile Web ◽  
Custom Made ◽  
Context Integration

Exploiting context information in a web search engine helps fine-tuning web services and applications to deliver custom-made information to end users. While context, including user and environment information, cannot be exploited efficiently in the wired Internet interaction type, it is becoming accessible with the mobile web where users have an intimate relationship with their handsets. In this type of interaction, context plays a significant role enhancing information search and therefore, allowing a search engine to detect relevant content in all digital forms and formats. This chapter proposes a context model and an architecture that promote integration of context information for individuals and social communities to add value to their interaction with the mobile web. The architecture relies on efficient knowledge management of multimedia resources for a wide range of applications and web services. The research is illustrated with a corporate case study showing how efficient context integration improves usability of a mobile search engine.

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