Monthly Archives: October 2013

More on Hummingbird

What type of “new” search activity does Hummingbird help?

“Conversational search” is one of the biggest examples Google gave. People, when speaking searches, may find it more useful to have a conversation.

“What’s the closest place to buy the iPhone 5s to my home?” A traditional search engine might focus on finding matches for words — finding a page that says “buy” and “iPhone 5s,” for example.

Hummingbird should better focus on the meaning behind the words. It may better understand the actual location of your home, if you’ve shared that with Google. It might understand that “place” means you want a brick-and-mortar store. It might get that “iPhone 5s” is a particular type of electronic device carried by certain stores. Knowing all these meanings may help Google go beyond just finding pages with matching words.

In particular, Google said that Hummingbird is paying more attention to each word in a query, ensuring that the whole query — the whole sentence or conversation or meaning — is taken into account, rather than particular words. The goal is that pages matching the meaning do better, rather than pages matching just a few words.


A search for “acid reflux prescription” used to list a lot of drugs (such as this, Google said), which might not be necessarily be the best way to treat the disease. Now, Google says results have information about treatment in general, including whether you even need drugs, such asthis as one of the listings.

A search for “pay your bills through citizens bank and trust bank” used to bring up the homepage for Citizens Bank but now should return the specific page about paying bills

A search for “pizza hut calories per slice” used to list an answer like this, Google said, but not one from Pizza Hut. Now, it lists this answer directly from Pizza Hut itself, Google says.


Rimmf (RDA in Many Metadata Formats) is a free tool developed by The Marc of Quality (

It is:

  • a visualization tool for catalogers, to help them to get used to thinking RDA, instead of thinking AACR/MARC.
  • a cataloging training tool, to help educators teach RDA thinking

RIMMF is not a cataloging tool, because you cannot save records that you can actually use in your ILS, but it does let you apply RDA thinking and practice making, cloning, and copying WEMI and other RDA entity records, so that you can get a solid idea of how much the RDA way of thinking will change the way we do cataloging, hopefully for the better.

To learn about and download RIMMF, visit the RIMMF wiki: it and you will have a better idea what RDA records supposed to be.

Here is a YouTube video from Library of Congress.

Cataloging educator Deborah Fritz and library software developer Richard Fritz founded “The MARC of Quality” in 1992 to provide training, software, and database services to libraries worldwide. Deborah demonstrated RIMMF (RDA in Many Metadata Formats), a template system that helps catalogers visualize RDA thinking to create records using the new cataloging instructions “RDA: Resource Description and Access.” There is a demonstration mid-way through the presentation that viewers may pause and view on their own devices here.

Speaker Biography: Cataloging educator Deborah Fritz co-founded The MARC of Quality in 1992 to provide training, software, and database services to libraries worldwide.

From Keywords Search to Entities Search

Further to my last post of Google Launched New Search Algorithm “Hummingbird”, here is another article from the giving more details of the new move of Google Search Engine: Future SEO: Understanding Entity Search.

In this article, Paul Bruemmer explains the concepts of “Entities” and how Google relies on entities rather than keywords in its search algorithm. The article also provides a good reference list of Semantic Web and Linked Data technology at the end.

The message here is clear: we should no longer say that Google search is merely a keywords matching search, and our library catalogues do more than that.

Hope you enjoy reading the article.

Metadata Schema for Video Games

Some libraries now include video games in their collections. This is a paper published in

Developing a video game metadata schema for the Seattle Interactive Media Museum


As interest in video games increases, so does the need for intelligent access to them.However, traditional organizational systems and standards fall short. To fill this gap, we are collaborating with the Seattle Interactive Media Museum to develop a formal metadata schema for video games. In the paper, we describe how the schema was established from a user-centered design approach and introduce the core elements from our schema. We also discuss the challenges we encountered as we were conducting a domain analysis and cataloging real-world examples of video games. Inconsistent, vague, and subjective sources of information for title, genre, release date, feature, region, language, developer and publisher information confirm the importance of developing a standardized description model for video games.