Opinion ranking based on lists in search engines

2014 ◽  
Author(s):  
Waleed A. Almutairi
Keyword(s):  
Search Engines

Classification of means and methods of the Web semantic retrieval

2017 ◽  
pp. 030-050
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Search Engines ◽  
Domain Knowledge ◽  
Information Needs ◽  
Web Search ◽  
User Interaction ◽  
Query Languages ◽  
Semantic Search ◽  
Semantic Retrieval ◽  
The Web

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.

Optimasi Blog Dengan Meta Tag Untuk Seo Dan Monitoringnya

2017 ◽  
Vol 15 (1) ◽  
pp. 45
Author(s):  
Valian Yoga Pudya Ardhana ◽  
Ahmad Wilda Yulianto
Keyword(s):  
Search Engines ◽  
The Elderly ◽  
Monitoring Process ◽  
Main Target ◽  
The Media

Blog as one of the media applicationson the Internethas been used all aroundIndonesia. The user wasnot limited  by age,ranging from children to the elderly. A lot of people notrealize that blogs can beoptimizedso thatthe bloggettingtoppositionsin search engines. Metatagwasone ofoptimization techniquesinSearch Engine Optimization (SEO).The main target washow to increaseblogtraffi requests. Afteroptimization, the next stepwasmonitoring, whichaims to determinethe extent to whichthe success ofoptimizationhas been done onSEO.The resultwas ablog sitegettingtoppositionsinthe search enginesandthe monitoring process resultsindicatethat thetitleand content was veryappropriatethat was 100%, description and contentwere alsoappropriatethat was 91%.

Peculiarities of the course of type I allergic reactions in patients with blood diseases

2020 ◽  
pp. 40-50
Author(s):  
A. Nikitina
Keyword(s):  
Search Engines ◽  
Anaphylactic Shock ◽  
Type I ◽  
Allergic Reactions ◽  
Common Cause ◽  
Blood Diseases ◽  
Treatment Regimens ◽  
Modern Methods

Analysis of literature data presented in search engines — Elibrary, PubMed, Cochrane — concerning the risk of developing type I allergic reactions in patients with blood diseases is presented. It is shown that the most common cause of type I allergic reactions is drugs included in the treatment regimens of this category of patients. The article presents statistics on the increase in the number of drug allergies leading to cases of anaphylactic shock in patients with blood diseases. Modern methods for the diagnosis of type I allergic reactions in vivo and in vitro are considered.

ROPO Effect in Gender- Generational Characteristics

2020 ◽  
Vol 11 (1) ◽  
pp. 43-43
Author(s):  
Radovan Bačík ◽  
Mária Oleárová ◽  
Martin Rigelský
Keyword(s):  
Association Analysis ◽  
Search Engines ◽  
Product Information ◽  
Customer Behavior ◽  
Internet Research ◽  
The Internet ◽  
Significant Progress ◽  
Customer Reviews ◽  
Online Purchase ◽  
Brick And Mortar

The development of the Internet and the current technologies have contributed to a significant progress in the consumer shopping process. Today, shopping decisions are more intuitive and much easier to make. E-shops, search engines, customer reviews and other similar tools reduce costs of searching for products or product information, thus boosting the habit of searching for information on the Internet - "Research Shopper Phenomenon" (Verhoef et al. 2007). According to Verhoef et al. (2015), this phenomenon leads to a phenomenon where consumers search for product information using one channel (Internet) and then make a purchase through another channel (brick-and-mortar shop). Heinrich and Thalmair (2013) refer to this effect as the "research online, purchase offline" or "ROPO" effect for short. This phenomenon can also be observed in reverse. Keywords: customer behavior, research online – purchase offline, association analysis

The Valuable Impacts of Halophytic Genus Suaeda; Nutritional, Chemical, and Biological Values

2020 ◽  
Vol 16 (8) ◽  
pp. 1044-1057 ◽  
Author(s):  
Hamdoon A. Mohammed
Keyword(s):  
Search Engines ◽  
Scientific Literature ◽  
High Salinity ◽  
Chemical Constituents ◽  
Harsh Environment ◽  
Science Literature ◽  
Medicinal Uses ◽  
Nutritional Values ◽  
Alternative Medicines ◽  
Natural Substances

Background: Suaeda is a halophytic genus belonging to the Amaranthaceae family and can survive in the high salted marsh areas of the world. Suaeda plants can biosynthesize natural substances with powerful antioxidant activity and are considered as a renewable source of energy, food, and edible oil for a larger number of populations living in the harsh environment with high salinity and drought conditions. These plants also meet folk and alternative medicines' needs. Methods: The review encompasses available scientific literature related to folk medicinal uses of Suaeda plants, their nutritional values, and chemical constituents. In addition, the biological trials applied for the Suaeda plants are also part of the review. The review covers the researches from major science literature search engines and other sites representing scientific literature, i.e., Scifinder, Google Scholar, PubMed, ScienceDirect, Scopus, and Google. The searches were programmed on the advance options available in the search engines and are latest up to November 2019. The searches were exhaustive and rechecked for accuracy. Conclusion: The study summarizes the uses of Suaeda plants as a remedy for various ailments due to their contents from the polyphenols and flavonoids. The comparatively large amounts of fixed oils, minerals, and vitamins in Suaeda plants have also made them potential renewable sources for foods.

Future of academic libraries: Opportunities and Challenges

2017 ◽  
Vol 4 (24) ◽  
Author(s):  
Raysh Thomas
Keyword(s):  
Academic Libraries ◽  
Search Engines ◽  
Information Seeking ◽  
Information Seeking Behavior ◽  
Technological Innovations ◽  
Information Need ◽  
Digital Resources ◽  
Web Resources ◽  
Seeking Behavior ◽  
High Bandwidth

Rapid advances in technological innovations, affordable high bandwidth networks, explosive growth of web resources,sophisticated search engines, ever growing digital resources and changing information seeking behavior of users are greatly transforming the future of academic libraries. The paper outlines the challenges which are very dominant and posing threat for the existence of academic libraries and suitable strategies requires to be made by the libraries and librarians to meet the expectations and information need of their existing and potential clienteles.

Enhanced Google-Based Semantic Category Search

2015 ◽  
Vol 1 (4) ◽  
pp. 398
Author(s):  
Mohammed Adeeb ◽  
Ahmed Sleman ◽  
Sumaya Abdullah ◽  
Belal Al-Khateeb
Keyword(s):  
Search Engines ◽  
Semantic Category ◽  
Search Method ◽  
Research Directions ◽  
The Social ◽  
Category Search

Recently search services have been developed rapidly especially when the social internet appeared. It can help web users easily find their documents. So that it is very difficult to find a best search method. This paper aims to enhance the quality of the search engines results and this can be done by adding a second level category search that is able to search for the keyword and its synonyms, which enables the search engines to get more users queries related results. The proposed method showed promising results that will open further research directions

Quality Assessment of Health Information about Scaphoid Fracture in Chinese Websites (Preprint)

2019 ◽  
Author(s):  
Yaobin Yin ◽  
Jianguang Ji ◽  
Peng Lu ◽  
Wenyao Zhong ◽  
Liying Sun ◽  
...  
Keyword(s):  
Social Networks ◽  
Health Information ◽  
Search Engines ◽  
Medical Information ◽  
Scaphoid Fracture ◽  
Family Members ◽  
Online Information ◽  
Specific Content ◽  
The Mean

BACKGROUND With online health information becoming increasingly popular among patients and their family members, concerns have been raised about the accuracy from the websites. OBJECTIVE We aimed to evaluate the overall quality of the online information about scaphoid fracture obtained from Chinese websites using the local search engines. METHODS We conducted an online search using the keyword “scaphoid fracture” from the top 5 search engines in China, i.e. Baidu, Shenma, Haosou, Sougou and Bing, and gathered the top ranked websites, which included a total of 120 websites. Among them, 81 websites were kept for further analyses by removing duplicated and unrelated one as well as websites requiring payment. These websites were classified into four categories, including forum/social networks, commercials, academics and physician’s personals. Health information evaluation tool DISCERN and Scaphoid Fracture Specific Content Score (SFSCS) were used to assess the quality of the websites. RESULTS Among the 81 Chinese websites that we studied, commercial websites were the most common one accounting more than half of all websites. The mean DISCERN score of the 81 websites was 25.56 and no website had a score A (ranging from 64 to 80).The mean SFSCS score was 10.04 and no website had a score A (range between 24 and 30). In addition, DISCERN and SFSCS scores from academic and physician’s websites were significantly higher than those from the forum/social networks and commercials. CONCLUSIONS The overall quality of health information obtained from Chinese websites about scaphoid fracture was very low, suggesting that patients and their family members should be aware such deficiency and pay special attentions for the medical information obtained by using the current search engines in China.

A Formal Model for Managing Multiple Observation Data in Agriculture

2019 ◽  
Vol 15 (3) ◽  
pp. 79-100 ◽  
Author(s):  
Watanee Jearanaiwongkul ◽  
Frederic Andres ◽  
Chutiporn Anutariya
Keyword(s):  
Search Engines ◽  
Question Answering ◽  
Formal Model ◽  
Theoretical Framework ◽  
Similarity Function ◽  
Observation Data ◽  
Contextual Data ◽  
Rule Based ◽  
Key Characteristics

Nowadays, farmers can search for treatments for their plants using search engines and applications. Most existing works are developed in the form of rule-based question answering platforms. However, an observation could be incorrectly given by the farmer. This work recommends that diseases and treatments must be considered from a set of related observations. Thus, we develop a theoretical framework for systems to manage a farmer's observation data. We investigate and formalize desirable characteristics of such systems. The observation data is attached with a geolocation in which related contextual data is found. The framework is formalized based on algebra, in which required types and functions are identified. Its key characteristics are described by: (1) the defined type called warncons for representing observation data; (2) the similarity function for warncons; and (3) the warncons composition function for composing similar warncons. Finally, we show that the framework helps observation data to become richer and improve advice-finding.

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