scholarly journals Quest for Requirements: Scrutinizing Advanced Search Queries for Cloud Services with Fuzzy Galois Lattices

2014 ◽  
Author(s):  
Irina Todoran ◽  
Martin Glinz
Keyword(s):  
Cloud Services ◽  
Search Queries ◽  
Advanced Search ◽  
Galois Lattices

scholarly journals VP196 Impact Of Trial Registry Search Features On Searches In CT.gov/ICTRP

2017 ◽  
Vol 33 (S1) ◽  
pp. 240-241
Author(s):  
Elke Hausner ◽  
Marco Knelangen ◽  
Siw Waffenschmidt
Keyword(s):  
Clinical Trials ◽  
New Drugs ◽  
Health Conditions ◽  
Bibliographic Databases ◽  
Trial Registry ◽  
Search Queries ◽  
Search Terms ◽  
Advanced Search ◽  
Approved Drugs ◽  
Clinical Trials Registry

INTRODUCTION:In contrast to bibliographic databases, trial registries do not offer the option of formulating complex search queries, thus making targeted searches more difficult. However, ClinicalTrials.gov (CT.gov) and the International Clinical Trials Registry Platform (ICTRP) offer different search features that may help compensate this limitation. Our aim was to determine the importance of search features (for example, searches using synonyms or, additionally in CT.gov, automatic inclusion of further search fields) for trial registry searches.METHODS:We conducted a project called “Trial registry searches for studies of newly approved drugs” (1). One analysis investigated the question as to whether searches for different health conditions and interventions (new drugs) directly identified registry entries with the search terms entered or whether certain search features were responsible for this. We searched CT.gov and ICTRP for different conditions and interventions using the advanced search interface. For each search, we documented the synonyms listed in the two registries. We imported the registry entries into EndNote and evaluated whether the search terms used were available in the corresponding search fields (condition; intervention).RESULTS:For CT.gov, 96 registry entries on 18 interventions and 190 entries on 12 conditions were analysed. Of these, twenty-three (24 percent) entries for interventions and thirty-eight (20 percent) for conditions were identified by search features, not by search terms. For ICTRP, 32 entries on 10 interventions and 100 entries on 9 conditions were analysed. Of these, five (16 percent) entries for interventions and eight (8 percent) for conditions were identified by search features.CONCLUSIONS:Trial registry search features have an important impact on the sensitivity of searches. Many studies are not identified by the search terms entered, but by searches using synonyms and, additionally in CT.gov, by automatic inclusion of further search fields. Moreover, search features in CT.gov are more effective than in ICTRP – even though the same search terms are used, they consistently yield higher sensitivities.

Understanding Query Formation in the Use of Internet Search Engines

2002 ◽  
Vol 46 (14) ◽  
pp. 1291-1295 ◽  
Author(s):  
Jennifer A. Bandos ◽  
Marc L. Resnick
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Internet Search ◽  
Search Queries ◽  
Proximity Search ◽  
Advanced Search ◽  
Internet Search Engine ◽  
Perceived Difficulty ◽  
Use Of Internet

Internet search engine use is notoriously challenging and frustrating to typical users. Most users are inefficient at finding what they are looking for and often give up before achieving their goals. Most commercial search engines have advanced search interfaces that are designed to facilitate increased precision and recall, but users generally avoid these due to poor usability and high perceived difficulty of use. This paper outlines three studies that investigated the strategies and effectiveness of user-generated search queries. Scenarios were formulated to encourage users to construct the single best query for each task. In general, users were unable to construct accurate queries for tasks that required compound logic. Study 1 verified the reluctance of users to use advanced search features. Study 2 investigated the use of Boolean and proximity search commands and capitalization strategies. Participants generally did not use them properly. Study 3 compared the use of basic search with advanced search when users were forced to use each one. Performance was similar but preference measures showed a significant advantage for basic search while confidence was higher for advanced search.

scholarly journals Measuring Query Complexity in Web-Scale Discovery: A Comparison between Two Academic Libraries

2018 ◽  
Vol 57 (4) ◽  
pp. 274 ◽  
Author(s):  
Rachael A. Cohen ◽  
Angie Thorpe Pusnik
Keyword(s):  
Text Analysis ◽  
Information Needs ◽  
Query Complexity ◽  
Indiana University ◽  
User Interactions ◽  
Search Queries ◽  
University Campuses ◽  
Advanced Search ◽  
Teaching Faculty ◽  
Insight Into

This study reports on the examination of search transaction logs from web-scale discovery tools at two Indiana University campuses. The authors discuss how they gathered search queries from transaction logs, categorized queries according to the Library of Congress Classification schedule, and then examined queries using text analysis tools in order to identify which subjects were being searched and whether users were using advanced search options. The results of this investigation demonstrate how transaction logs may be used to communicate user interactions within discovery services. The findings offer detailed insight into the subjects and skills that teaching faculty and librarians should communicate to improve information literacy instruction. The search queries also uncover information needs that provide direction for collection managers.

Mental Models and Information Retrieval: What Can Search Queries Tell Us?

2013 ◽  
Author(s):  
Haidar Moukdad ◽  
Andrew Large
Keyword(s):  
Information Retrieval ◽  
Mental Models ◽  
Search Engine ◽  
Mental Model ◽  
Web Search ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Search Queries ◽  
Web Search Engine ◽  
Advanced Search

When information seekers use an information retrieval system their strategy is based, at least in part, on the mental model they have constructed about this environment. A random sample was gathered of more than 2000 actual search queries submitted by users to one web search engine. WebCrawler, in two separate capture sessions. The results suggest that a high proportion of users do not employ advanced search features...

The Impact of a Highly Publicized Celebrity Suicide on Suicide-Related Online Information Seeking

Crisis ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 207-209 ◽  
Author(s):  
Florian Arendt ◽  
Sebastian Scherr
Keyword(s):  
Suicide Prevention ◽  
Information Seeking ◽  
The Internet ◽  
Online Information ◽  
Search Queries ◽  
Related Information ◽  
Search Terms ◽  
Celebrity Suicide ◽  
Online Information Seeking ◽  
The Impact

Abstract. Background: Research has already acknowledged the importance of the Internet in suicide prevention as search engines such as Google are increasingly used in seeking both helpful and harmful suicide-related information. Aims: We aimed to assess the impact of a highly publicized suicide by a Hollywood actor on suicide-related online information seeking. Method: We tested the impact of the highly publicized suicide of Robin Williams on volumes of suicide-related search queries. Results: Both harmful and helpful search terms increased immediately after the actor's suicide, with a substantial jump of harmful queries. Limitations: The study has limitations (e.g., possible validity threats of the query share measure, use of ambiguous search terms). Conclusion: Online suicide prevention efforts should try to increase online users' awareness of and motivation to seek help, for which Google's own helpline box could play an even more crucial role in the future.

A Survey on Utilizing Cloud Services in the E-learning Process

2015 ◽  
Vol 6 (9) ◽  
pp. 1606-1612
Author(s):  
Zaydoon Mohammad Hatamleh ◽  
Eslam Najim Badran ◽  
Bilal Mohammad Hatamleh
Keyword(s):  
Learning Process ◽  
Cloud Services ◽  
E Learning

Implementaon of digital economy elements in electric power industry

2018 ◽  
Vol 11 (2) ◽  
pp. 94-102 ◽  
Author(s):  
A. G. Filimonov ◽  
N. D. Chichirova ◽  
A. A. Chichirov ◽  
A. A. Filimonovа
Keyword(s):  
Electric Power ◽  
Energy Production ◽  
Predictive Analytics ◽  
Digital Economy ◽  
Digital Transformation ◽  
Cloud Services ◽  
Small Scale ◽  
Economic Activities ◽  
Industrial Enterprises ◽  
Automation Systems

Energy generation, along with other sectors of Russia’s economy, is on the cusp of the era of digital transformation. Modern IT solutions ensure the transition of industrial enterprises from automation and computerization, which used to be the targets of the second half of the last century, to digital enterprise concept 4.0. The international record of technological and structural solutions in digitization may be used in Russia’s energy sector to the full extent. Specifics of implementation of such systems in different countries are only determined by the level of economic development of each particular state and the attitude of public authorities as related to the necessity of creating conditions for implementation of the same. It is shown that a strong legislative framework is created in Russia for transition to the digital economy, with research and applied developments available that are up to the international level. The following digital economy elements may be used today at enterprises for production of electrical and thermal energy: — dealing with large amounts of data (including operations exercised via cloud services and distributed data bases); — development of small scale distributed generation and its dispatching; — implementation of smart elements in both electric power and heat supply networks; — development of production process automation systems, remote monitoring and predictive analytics; 3D-modeling of parts and elements; real time mathematic simulation with feedback in the form of control actions; — creating centres for analytical processing of statistic data and accounting in financial and economic activities with business analytics functions, with expansion of communication networks and computing capacities. Examples are presented for implementation of smart systems in energy production and distribution. It is stated in the paper that state-of art information technologies are currently being implemented in Russia, new unique digital transformation projects are being launched in major energy companies. Yet, what is required is large-scale and thorough digitization and controllable energy production system as a multi-factor business process will provide the optimum combination of efficient economic activities, reliability and safety of power supply.

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