Using Flowcharts for Article Search

by | Mar 16, 2018 | Customer Service | 0 comments

Flowcharts can be devised to power online searches for scholarly materials such as scientific and technical papers, journal articles, books, monographs, patents, case reports, commentary, and case law. Software coders and developers can invest their knowledge and efforts in the systematic creation of such flowcharts. These diagrams can be exclusively designed to power an article search targeted at online databases. The users of such flowcharts may include industrial and scientific researchers, academics, advanced students, legal advisors, and others. We will examine the various uses of flowcharts designed for article search in the paragraphs below.

A medical scholar or researcher may collaborate with flowchart designers to create custom flowcharts that spur efficient article search. This flowchart can begin with titles identified in the first stage of the diagram. The designer can code the flowchart to exclude titles published prior to a certain date. Titles published in certain languages may also be excluded from the scope of this diagram. Per the scope of the search, the medical researcher may discover medical publications pertaining to allied fields such as radiology and pathology. The second phase of the flowchart can include abstracts available in the public domain, while the third stage pertains to full text papers that have been reviewed by scholars and their peers. We note these illustrations can power an article search on multiple databases and enable scientists and researchers to find relevant information.

Academic scholars and researchers can use flowcharts for article search to arrive at better research outcomes. Major academic and ongoing research projects may put in place flowcharts designed to search any available database for specific data or relevant information. These flowcharts may begin by identifying certain records through an initial search of a given database. The second stage of this flowchart focuses on records that emerged from the first exercise. Certain results may be excluded at this stage per set criteria. The third stage in said flowchart can assess the full text articles for relevance to the current research project. These stages can help academic researchers, advanced students, scholars, and other individuals to launch an effective article search with the aim of assisting various research efforts.

Industrial designers can leverage the use of flowcharts to power a better article search. These individuals understand the flow of energy and information; this ability can help them create more efficient article search mechanisms. For instance, a designer can take a fresh look at the basic premise of the modern flowchart and use digital technologies to re-invent the search for academic and expert articles. Instead of a linear flow of information from one stage to the next, a prototype can be generated that powers article search inward – visually – from one stage to the next. This reinterpretation of the flowchart can exist as a single slab or bar on the designer’s screen. Each stage of the flowchart resides within the slab and leads the researcher through successive stages to the result. We note this is an experimental concept that can be refined with inputs from reviewers, researchers, and other stakeholders.

The modern researcher can forge better templates for article search by using a flowchart. One of the initial stages of creating such a flowchart can focus on the classification of each article. This is important because this stage drives the article search and must include clearly defined criteria to help researchers achieve optimal search results. In line with this, the first stage may include an explicitly stated search strategy, clear criteria for inclusion and exclusion, an accurate statement of the topic under review, etc. The subsequent stages of the flowchart are designed round other criterion that are deemed appropriate by individual researchers or by the specific demands of a research project. We note such efforts can help certain branches of modern academia to achieve faster and more relevant search results.

Flowcharts can be deployed to educate students and young scholars in the intricacies of article search. Educators can work with flowchart designers to create standard templates for the benefit of young scholars. For instance, a scholar may need instruction in terms of finding the volume number of an online article or publication for his academic course work. A flowchart can instruct the seeker on the necessity of inputting various bits of information such as author name, year of publication, title of article, name of the journal, etc. This is a systematic approach designed to discover the information sought by the scholar. We note that similar flowcharts can be created with similar objectives in mind. The universal ability of a flowchart to convey information visually is the critical operational aspect in such efforts.

The mechanics of article search can disproportionately influence the outcomes of academic endeavors and research efforts. Therefore, scholars and educators should consider the use of flowcharts to explore the various outcomes of a single article search. For instance, flowcharts can be deployed to suggest alternative research strategies in the absence of meaningful outcomes. These alternatives can include a different set of keywords or targeting a different database. Stages in the flowchart can also instruct the student or scholar to expand certain criteria such as date range before processing the query in article search. Instructors can also use the flowchart to suggest alterations to the article search strategy and other ideas to refine the search algorithm and yield the best search outcomes. In light of these, we may state that flowcharts represent a useful tool that can widen the scope of database searching activities.

The mechanisms that power online article search can be refined and upgraded when software developers consult flowcharts with information that depicts the outcome of user surveys. This is important because such refinements can help developers to create better article search mechanisms. These refinements can empower the search engine to delve deeper into a given database and pull relevant information for the perusal of the searcher. In addition, databases can be modernized to be more responsive to search queries and return significantly higher numbers of search results. Therefore, database developers and software coders should work in unison to construct flowcharts that enable higher levels of article search. In light of these facts, we note that flowcharts play a pivotal role in identifying the gaps inside an extant search system and helping designers to create optimized search mechanisms.

In the preceding paragraphs, we have examined some of the techniques that enable flowcharts to play a central role in improving the performance of article search systems. These search mechanisms must be constantly improved and boosted because incremental levels of scientific, legal, and medical scholarship are being deposited in modern databases. Improved search algorithms can help scholars and researchers to delve deeper into these depositories and retrieve valuable information for use in a variety of queries. In addition, flowcharts enable designers to add incremental levels of information (subject to availability). This is priceless in terms of incorporating the latest streams of data and information into modern article search and query mechanisms. Further, future developments in science and technology may empower designers to improve the visual representation of search results. This can help to attract higher levels of attention from academics and scholars, leading to the discovery of new levels of knowledge.

Let us help you evaluate.

No credit card required. No strings attached.
Start Free EvaluationWatch Training Videos

Improve Customer Service using Decision Trees

Related Posts
Lines of Business in Yonyx

Lines of Business in Yonyx

A Yonyx Customer is assigned a distinct subdomain, such as https://customer.yonyx.com/. Every decision tree created by any Author has a URL that begins with this specific subdomain. Each customer subdomain can have multiple lines of business (LOBs)...

read more

Search across a Decision Tree

Authors create decision trees for self service, cold calling scripts for sales teams, or for call center automation using the Yonyx platform. As the trees get more complex, authors want to be able to search across a decision tree. Growing need for...

read more

Adding Yes No Buttons to a Yonyx Decision Tree

Yonyx helps automate call center tasks by streamlining business processes through interactive decision tree solutions. Subject matter experts use Yonyx Platform to create decision trees. Yes No Buttons, help agents choose the correct pathway for...

read more

Sign up for a free trial today!