Nearly 10 000 people read our blog in 2016 and the following 5 posts gathered most interest.
Ontotext wrapped up another very busy and successful year in 2017 and as we roll into the New Year we are taking stock of the posts that excited you the most on our blog last year.
Our readability count destilled the following 5 favorite posts for 2017, which we’ll recap below as a countdown.
This fascinating blog post delves into semantic information extraction – the way semantic technology makes sense of disparate textual sources, enriching them with machine-readable links, references and relationships along the way. It discusses how semantic information extraction allows organizations to perform integrated search across all sorts of textual data, discover automatic relationships, see content recommendation, discover references to concepts and entities, and integrate disparate and seemingly unrelated sources.
Go back to this article to see how connecting, integrating and analyzing information with semantic technology is applicable to risk management, fraud detection, fact retrieval, connections investigating, keeping up with compliance standards, tracking consumer behavior and much more.
Our 4th most read article in 2017 was this amazing post about semantic annotation – the power of semantic technologies to link things, people, locations or organizations to context and references, in order to give users relevant content and organizations – a much-needed way for efficient documentation management. This post illustrates how semantic annotation gives textual sources those ‘side notes’ that machines can read in order to organize and serve content in an accurate and efficient way.
Check out the article to see a slideshow of how words turn into smart data.
Number 3 of your favorite posts is this article about the new librarians – Linked Data and semantic technologies that help libraries remain the relevant knowledge hubs in today’s digital world. Here, you learn how the Linked Data approach to storing and retrieving content makes library resources easily accessible and more visible.
Click on the article to read how intelligent search, connected resources, content integration and content recommendation enable better experiences, future-proof library records management, preservation and serving.
Our second most popular blog post for 2017 was the overview of how fintech has upended traditional banking services, and how semantic technologies, Linked Data, and data analytics are in turn upending the fintech industry.
Check out the article to see how Linked Data helps the fintech industry to innovate, respond to the Millennial customer, or predict customers’ response to new products, altered rates, or discount offers.
Our number 1 most popular blog post last year was about the semantic ‘data about data’ or semantic metadata. In this insightful article you see how semantic metadata gives endless opportunities for interconnections between various data points and data sets. Semantic metadata enriches the identity, discoverability and utility of digital resources and leads to many new avenues to explore, discover and retrieve information and knowledge.
Check out our most popular article for 2017 to see how we get richer and faster answers; discover relationships across different information sources more easily, receive related information faster, and collect and research resources at a lower cost.
At the start of 2018, here’s to more blog posts that would become your next favorite articles about semantic technology and its uses across industries.
Learn how Ontotext’s Semantic Technology solutions make everything connected to everything esle and help to build Linked Data through intricate models for representing information.