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Posts Tagged ‘advanced search’

Spring is traditionally a time of new beginnings, so I am delighted this week to announce a new release of 2Dsearch. This release contains a variety of bug fixes and improvements, including support for two new databases: ACM Guide to Computing Literature and IDEAS (the largest bibliographic database dedicated to Economics available freely on the Internet). We’ve also improved our search report generation tool and now offer query statistics to help you refine those all important search strategies.

What all this means is that you can now use 2Dsearch to search visually across 12 different databases and use automated translations for 8 more. We’ve also made further improvements to the user experience and now provide example searches for each of the 12 databases.

We’ve lots more planned for the next release, so if you’d like to help shape this and/or have comments or suggestions then do let us know. We’d be delighted to hear from you!

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New year, new release — I am delighted this week to announce a new release of 2Dsearch. This contains a variety of bug fixes and improvements, including support for IEEE XPlore, a ‘Help me choose’ feature and automated search report generation.

You can now use 2Dsearch to search visually across 10 different databases and use automated translations for many more. We’ve also made improvements to the canvas user experience and now provide starter examples for each of the 10 databases.

We’ve lots more planned for the next release, so if you’d like to help shape this and/or have comments or suggestions then do let us know. We’d be delighted to hear from you.

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It’s been a little while in the making, but I am delighted this week to announce a new release of 2Dsearch. This contains a variety of bug fixes and improvements, notably support for ERIC (Education Resources Information Center).

You can now use 2Dsearch to search visually across 9 different databases and use automated translations for many more. We’ve made various improvements to the canvas user experience, including support for proximity operators and creating nested groups. We also improved the query parsing and now provide in-app links to syntax guides and other support materials.

We’ve lots more planned for the next release, so if you’d like to help shape this and/or have comments of your own then do let us know. We’d be delighted to hear from you!

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In the previous video we learnt how to use search suggestions to help us choose effective keywords for our search. In this video, we’ll look at techniques to make those terms more precise.

A key task in developing effective search strategies is choosing the right terms for the various facets of your information need. For example, if you are researching the topic of promoting physical activity to prevent obesity in older people, you might start with a search like this:

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In our previous video we learnt how to use visual approaches to create the correct structure for our search strategy. In this video, we’ll look at techniques to create the right content.

A key task in developing effective search strategies is choosing the right keywords. But how do we create these terms in the first place? One way is simply to brainstorm them, i.e. think up related terms for each facet. Or you might use your search results as a source of inspiration. But is there a more efficient way to generate related terms?

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In this video, we’ll look at how data visualization techniques can help us optimize and re-use search strategies.

The benefits offered by visualization become more apparent as the complexity of your search increases. For example, here is a relatively complex search string used by a recruiter to find social profiles for project managers in the Republic of Ireland. As you can see, it is quite hard to visualize how this search is structured, and even harder to debug or improve.

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In our previous video we learnt how to build a search strategy and then save it and create a shareable link to it. In this video, we learn how to use visual approaches to make our searches smarter and more efficient.

Let’s return to the previous example where our research question concerned the role of physical activity in preventing obesity in older people. One of the immediate benefits of the 2D approach is that it you can see hit counts for each search block, displayed in the top right hand corner. You can use these to better understand which parts of your search to focus on when optimising your query.

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In this short video we’re going to learn how to save, share and collaborate on structured searches.

Let’s return to the example we saw earlier, where our research question was to investigate promoting physical activity to prevent obesity in older people.

Choosing the correct terms can take some thought and effort but to save time in this video we have already entered our preferred terms on the canvas. To create the Boolean logic we saw earlier, we simply drag-and-drop terms to create groups:

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It’s been a little while in the making, but I am delighted this week to announce a new release of 2Dsearch. This contains a variety of bug fixes and improvement, notably support for:

  • Lens.org (a patent search facility and knowledge resource containing over 200m records)
  • Yandex (5th largest search engine worldwide)

We’re particularly excited about the support for Lens.org, as it opens up all sorts of possibilities to find meta-analysis, systematic reviews, review articles of topics you are interested in regardless of your discipline.

Moreover, you can now use 2Dsearch to search visually across 8 different databases, and use automated translations for many more.  We’ve also made various improvements to the quality of the query parsing and the help/guidance provided on the messages tab, and added an in-app link to our tutorial videos. In addition, search strategies are now saved with an annotations field for your own notes and shared by name (rather than anonymously).

We’ve lots more planned for the next release, so if you’d like to help shape this and/or have comments of your own then do let us know. We’d be delighted to hear from you!

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In this short video we’re going to learn how to create a simple search strategy.

The best way to get started is to simply go to https://app.2dsearch.com and you’ll see a screen like this, with a drawing canvas on the left and a results pane on the right. At the moment our results pane is connected to Bing but you can see that other options are available. Note also that we can hide the results pane and show it at any time using this button. We also have various menu options available on the left which we’ll come to shortly.

To get started, we simply enter terms on the canvas. For example I can enter the terms hello and world and as I enter these terms, the results pane on the right updates dynamically. It starts to get interesting when we manipulate the objects on the canvas. For example, if I drag one term over the other it creates a new group with the default Boolean operator OR. Notice how the results pane on the right has again updated, showing this Boolean expression. If I want to change the operator I can simply edit it like this.

If I make a mistake I can just click the undo or redo buttons up here. Or I could just select an object and hit delete. I can create new terms or groups by copying and pasting like this. And I can add a negative term by entering it on the canvas and selecting the menu option apply not. If we want to see how our search looks as a traditional Boolean expression, we can click on the query tab.

In the next video, we’ll look at how to apply this to some real world searches.

Think outside the search box: https://www.2dsearch.com/

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