How Ontologies Can Help Scientists Make Sense of Disparate Data
Recently, there has been a push among both funders and journals to share raw data. The response has been positive and that in itself has created a unique challenge. Voluminous amount of data have been produced. There is too much data for humans to sift through. The semantic confusion is not a simple one-to-one correspondence. […]
Read moreThe fundamental difference between taxonomy and ontology
Enterprises are often at a loss to determine whether they should choose a classification system based on ontology or a classification system based on taxonomy. The hesitation arises from the fact that ontology is frequently confused with taxonomy and vice versa. Therefore, it is important for enterprises to identify the critical distinctions between ontology and […]
Read moreWhy are we still using Keyword Searches?
Keywords have been in widespread use for searching textual databases for more than half a century now. However, it is a wonder that, despite the technological advances in computing in the intervening years, it is still ubiquitous when it comes to search. So much so, Kalev Hannes Leetaru, an American internet entrepreneur and academic, ponders […]
Read moreThe Contributor Role Taxonomy — Ensuring Visibility and Diversity in Research Contributions
The structured Contributor Role Taxonomy (CRediT) taxonomy, was introduced in 2014, in response to the shift to contribution to complement (or replace) the concept of authorship. The need emerged following increasing dissatisfaction with established bibliographic conventions for describing and listing authors on scholarly outputs. In addition, the bibliographic conventions were outdated and unable to convey […]
Read moreEnriching Customer Support by Powering Chatbots with Intelligent Search
Once upon a time, chatbots could merely serve a customer based on a static script coded into their rules. This was a challenge because customers would often employ slang, shorthand or expressions that were not part of the script, thereby limiting the ability of the chatbots to respond satisfactorily. Now, the advent of intelligent search […]
Read moreThere is Much More to Knowledge Graphs than Visualizations
People, who encounter knowledge graphs and graph databases for the first time, inevitably think of visualizations of networks. However, this is a limited view of what knowledge graphs can provide. A knowledge graph is a model of a domain created by subject-matter experts and intelligent machine learning algorithms. Undoubtedly, visualizations can support this process, especially […]
Read moreUnlocking the Promise of Blockchain with Directed Acyclic Graphs
Blockchain — the distributed ledger system — promises near real-time updates of transactions between remote parties for trustworthy, impenetrable peer-to-peer networks, eliminating the need (and expense) of intermediaries. Unfortunately, realizing that promise has proved decidedly difficult. However, Jans Aasman, CEO at Franz, believes that that day will soon come, courtesy Directed Acyclic Graphs (DAG). Blockchain […]
Read moreAirbnb Leverages Knowledge Graph to Categorize Inventory and Deliver Useful Travel Context to Users
To scale Airbnb’s ability to answer travel queries, Airbnb decided to build a knowledge graph to store and serve high-quality information about entities (e.g. cities, landmarks, events, etc.) and the relationships between them (e.g. the most popular landmark in a city, the best neighborhood for tacos, etc.). In this post, Xiaoya Wei, a software engineer […]
Read moreThe similarities between indexing and creating faceted taxonomies
While indexing a biography, Heather Hedden, a taxonomist with Cengage Learning and the author of “The Accidental Taxonomist”, could not help, but compare the similarities between indexing and taxonomy creation. Generally, the back-of-the-book indexing has some similarities with taxonomy creation. Specifically, because both involve creating taxonomy terms, naming them, coming up with variant names, and […]
Read moreHow to Identify and Extract Key Metadata Values
The Migration Hub is a two-year project that runs from March 2018 to the end of February 2020. Christine Cormack Wood, who is responsible for the marketing and communications activity at Crossref, speaks to the researchers on this initiative of IMISCOE, Europe’s largest migration research network. During the course of the discussion, it became evident […]
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