Academic Search Engines

Docear 1.1.1 Beta with Academic Search Feature

As you may know, Docear features a recommender system for academic literature. To find out which papers you might be interested in, the recommender system parses your mind maps and compares them to our digital library with currently about 1.8 million academic articles. While this is helpful and might point you to papers relevant for your general research goals, you will sometimes have to find information on a specific topic and hence search directly. Based on our knowledge about recommender systems and some user requests, we decided to implement a direct search feature on our digital library. I am very grateful to Keystone, who supported me in visiting Dr. Georgia Kapitsaki at the University of Cyprus (UCY) in Nicosia for a full month to work on this idea. Dr. Kapitsaki's has already supported us in our work on Docear's recommender system in July 2013. Her knowledge about the inner mechanics and her ideas on the the search engine were essential for the implementation and the research part of the project.

How to use it

You can access the search feature from Docear's ribbon bar ("Search and Filter > Documents > Online search") or by double-clicking the "Online search" entry in Docear's workspace panel. Since both the recommender system and the personalized search engine make use of your mind maps. you need to enable the recommendation service in Docear. Screenshot from 2014-07-07 15:19:39 After opening the search page, you will see
  • a text box for your search query,
  • a "Search" button, and
  • several buttons below the text box reflecting search terms you might be interested in. If Docear does not have enough data to decide about your interests, this part remains empty.
Docear-online-search-interface (more…)

By Joeran Beel, ago
Academic Search Engine Optimization (ASEO)

Do you trust Google Scholar?

Are you using Google Scholar? For finding scientific literature? For obtaining citation counts and publication lists of researchers? Have you ever thought about how trustworthy the information is you get on Google Scholar? My colleague and I performed several tests with Google Scholar and found out that it is really easy to fool Google Scholar. You can easily increase citation counts of articles and therefore increase the article’s rankings. You can easily add invisible keywords to articles and make the article appear relevant for searches it actually isn’t. You can also create complete non-sensical articles with the paper generator SciGen and make Google Scholar index them. And you can place any kind of advertisement in manipulated articles and make users Read more…

By Joeran Beel, ago
Academic Search Engine Optimization (ASEO)

New Paper: On the Robustness of Google Scholar against Spam

I am currently in Toronto presenting our new paper titled "On the Robustness of Google Scholar against Spam" at Hypertext 2010. The paper is about some experiments we did on Google Scholar to find out how reliable their citation data etc. is. The paper soon will be downloadable on our publication page but for now i will post a pre-print version of that paper here in the blog:

Abstract

In this research-in-progress paper we present the current results of several experiments in which we analyzed whether spamming Google Scholar is possible. Our results show, it is possible: We ‘improved’ the ranking of articles by manipulating their citation counts and we made articles appear in searchers for keywords the articles did not originally contained by placing invisible text in modified versions of the article.

1.    Introduction

Researchers should have an interest in having their articles indexed by Google Scholar and other academic search engines such as CiteSeer(X). The inclusion of their articles in the index improves the ability to make their articles available to the academic community. In addition, authors should not only be concerned about the fact that their articles are indexed, but also where they are displayed in the result list. As with all ranked search results, articles displayed in top positions are more likely to be read.

In recent studies we researched the ranking algorithm of Google Scholar [/fusion_builder_column][fusion_builder_column type="1_1" background_position="left top" background_color="" border_size="" border_color="" border_style="solid" spacing="yes" background_image="" background_repeat="no-repeat" padding="" margin_top="0px" margin_bottom="0px" class="" id="" animation_type="" animation_speed="0.3" animation_direction="left" hide_on_mobile="no" center_content="no" min_height="none"][1-3] and gave advice to researchers on how to optimize their scholarly literature for Google Scholar [4]. However, there are provisos in the academic community against what we called “Academic Search Engine Optimization” [4]. There is the concern that some researchers might use the knowledge about ranking algorithms to ‘over optimize’ their papers in order to push their articles’ rankings in non-legitimate ways.

We conducted some experiments to find out how robust Google Scholar is against spamming. The experiments are not all completed yet but those that are completed show interesting results which are presented in this paper. (more…)

By Joeran Beel, ago
Academic Search Engine Optimization (ASEO)

Academic Search Engine Optimization: What others think about it

In January we published our article about Academic Search Engine Optimization (ASEO). As expected, feedback varied strongly. Here are some of the opinions on ASEO:

Search engine optimization (SEO) has a golden age in this internet era, but to use it in academic research, it sounds quite strange for me. After reading this publication (pdf) focusing on this issue, my opinion changed.
[/fusion_builder_column][fusion_builder_column type="1_1" background_position="left top" background_color="" border_size="" border_color="" border_style="solid" spacing="yes" background_image="" background_repeat="no-repeat" padding="" margin_top="0px" margin_bottom="0px" class="" id="" animation_type="" animation_speed="0.3" animation_direction="left" hide_on_mobile="no" center_content="no" min_height="none"][...] on first impressions it sounds like the stupidest idea I’ve ever heard.
ASEO sounds good to me. I think it’s a good idea.
Good Article..
As you have probably guessed from the above criticisms, I thought that the article was a piece of crap.
In my opinion, being interested in how (academic) search engines function and how scientific papers are indexed and, of course, responding to these… well… circumstances of the scientific citing business is just natural.
Check out the following Blogs to read more about it (some in German and Dutch) (more…)

By Joeran Beel, ago
Google Scholar

Academic Search Engine Optimization – make your articles better findable

The Journal of Scholarly Publishing just published our article Academic Search Engine Optimization (ASEO): Optimizing Scholarly Literature for Google Scholar and Co. The article introduces and discusses the concept of what we call “academic search engine optimization” (ASEO) and define as: “Academic search engine optimization is the creation, publication, and modification of scholarly literature in a way that makes it easier for academic search engines to both crawl it and index it”. Based on three recently conducted studies, guidelines are provided on how to optimize scholarly literature for academic search engines in general and for Google Scholar in particular. In addition, we briefly discuss the risk of researchers’ illegitimately ‘over-optimizing’ their articles. Probably not everyone will agree with the article. Read more…

By Joeran Beel, ago