Metadata is very important when it comes to categorizing and even marketing and finding readers for a book. Now that EPUB3 is around, authors/publishers can add really granular data to ebooks, which can help define target audiences, among other things. Continue reading
Last week an article in the New York Times caught my eye. It highlights the company Next Big Sound, which was founded in 2009 and analyzes music data. The company has launched a new division called Next Big Book, which will work with Macmillan to “draw sales, publicity, events, social media, web traffic, and web trends data together on a daily basis.” Continue reading
Recently I attended an online seminar by Aptara, Bridging the Digital Revenue Gap, that focused on the benefits of semantic strategies.
Semantics focuses on the meaning of words. For example, the word orange can mean a color or a fruit.
According to the webinar, “with semantic technologies, content can more easily be
Here is an example of semantic tagging:
Using classes such as “telephone”, “ingredient,” “name,” “amount,” and “color” gives more meaning to the words. And, having all this data, lets a computer understand the meanings.
In publishing, there is a lot of data in words. Using semantic tagging can help to analyze an audience and predict what customers want, which makes it easier to focus on what to work on next.
When tagging semantically, you should have a list of categories to use, and score keywords based on importance. Netflix is a great example of a company that has benefited from semantic tagging. According to The Atlantic, Netflix has “76,897 unique ways to describe types of movies.” The company used the tags to create algorithms to suggest what people want to watch next, keeping users engaged. And they know exactly how much time you’re spending watching movies or TV shows on their site.
Tags can also be based on sentiment, such as rating words that are positive or negative, can be used to help promote relevant content to the sentiment. An example of a site that uses sentiment is BookVibe, a book recommendation system that uses Twitter.
Having semantic tags can help show related content, which can recommend new content to readers.
Another benefit of semantics is discoverability. Having keywords that fit contextually help search engines, such as Google and Amazon find certain books. Aptara is working on discoverability tools that leads to conversion.
Other benefits include linking, summarization, and reuse. Semantics provide more possibilities. For example, tags can be linked to urls to make the experience more interactive for the reader. Tags can also point to content chunks that can be spun out into new, separate products. An example of re-use could be using semantically tagged math questions as a list of questions about algebra (turned into quizzes or flashcards).
In order to implement semantics successfully, it’s important to have a plan and define the metadata to use. The next step is to deploy and then maintain, meaning update regularly for the best results.
In our digital world, data is becoming increasingly important, both for creating content and finding content. Major companies use algorithms for these purposes. However, this strategy is not new. Continue reading
I love how in the past year or two, more and more book related startups have popped up. Last week I had the pleasure of speaking with the co-founder of Parakweet, Ramesh Haridas. Parakweet is a company that extracts valuable information from different social media streams and makes that data accessible and understandable. One way to do this is through BookVibe, a site that offers accurate book recommendations to users by extracting data from their Twitter handle. Continue reading
Digital Book World hosted an interesting webcast today, called Finding Books Without Borders: Discoverability in a Digital and Social World. Two fairly new companies, Jellybooks and Readmill, talked about how they tackle the issue in their own ways.
Andrew Rhomberg, the founder of Jellybooks, talked about the four ways that his company helps solve the discovery problem.
Covers are worth more than 1,000 words, and on Jellybooks, book cover images help to make discovery more fun.
Social discovery is another way of saying word-of-mouth, but Jellybooks focuses on the word of mouth that happens on social networks. For example, it takes advantage of Facebook’s open graph to show more metadata on books. Jellybooks also uses Pinterest strategically, where every pin for every book has a title, cover, synopsis, and sample button to encourage users to click on the sample link and download part of the book.
People learn about books through a variety of methods, whether its mentioned in a footnote of a paper, a newspaper article, or through some cultural connectivity. To help readers become more aware of a book, Jellybooks uses special widgets. Authors, bloggers, and publishing partners can embed the widget on their webpage, and it will work like a Facebook “like” box, except instead of liking a book, you can download a sample of the book.
The last couple years have been a time of change for the publishing industry, and I expect this year to be the same. Every few weeks I’ve been hearing about new startups and ventures that expect to–and probably will–disrupt publishing. I think it’s worth sharing some of them here, and what their success could mean for publishing, both traditional and indie. Continue reading
If you have some free time, you should watch the Making Your MetaData Better video. Around the 30 minute mark, Bob Oeste, Senior Programmer/Analyst, Johns Hopkins University Press starts his presentation, and he makes the whole concept of metadata entertaining. So, if you want to learn more about metadata, I highly recommend watching this video. Continue reading
This week was the last of the BISG’s series of webinars on metadata. The third and last webinar was Navigating the transition from ONIX 2.1 to 3.0, presented by Graham Bell, Chief Data Architect of EDItEUR. (You can read about the other two webinars on my posts The BISG’s Metadata Research Project and Understanding Metadata). Continue reading