Posts Tagged ‘Findability’
Classifying Taxonomies
“Classification” and “taxonomy” are two closely related words that some people find confusing. Both terms reflect the fact that we encounter large amounts of information in everyday life and our brains need some way to synthesize and contextualize that information. Concepts like classification and taxonomy help us make sense of the world by improving our…
Read MoreAsking the Right Questions
Search results are only as good as the query itself. Users often use search keywords that are not recognized by semantic systems leading to no results. OnRec brought this interesting information to our attention in their article, “Actonomy to launch adaptive semantic search technology learning from the user behaviour.” A new technology is learning from user…
Read MoreLetting the Data Take Over
Data lakes can be a fantastic asset, but they do need an array of elements to work properly. This is where semantics and graph databases in the data lake architecture become beneficial. This interesting information came to us from ZDNet in their article, “Semantic data lake architecture in healthcare and beyond.” Data lakes can turn…
Read MoreAI in Search
Quertle is the developer of the first artificial intelligence (AI) biomedical big data discovery platform (BioAI) for biomedical literature. Together with Elsevier, they have announced that searching of the full-text biomedical and life science content on Elsevier’s information source, ScienceDirect, that has over 14 million publications, will be integrated into Quertle’s AI discovery product Qinsight. Knowledge Speak brought…
Read MoreDigital Catalog Records Now Accessible
Valuable information is stored in the treasure trove of library catalogs. They are important to making information findable, particularly as the amount of information expands every day. The San Francisco Chronicle brought this interesting news to our attention in their article, “The Library of Congress opened its catalogs to the world. Here’s why it matters.” But what…
Read MoreOrganization is Key
Information professionals are learning that having a data classification process in place can make your data smart enough to know what to do with itself. This is exceptionally helpful when it comes to storage. Tech Target brought us this interesting information in their article, “Classification of data can solve your data storage problems.” Data classification is…
Read MoreThe Messy Business of Metadata
Wait, I thought the purpose of metadata was to bring order and make the search process cleaner and thus make findability achievable. How can it be messy? The workflow in digital collections is evolving to accommodate the needs of linked data. This can get messy – like any change process will be. While many tasks are…
Read MoreIt’s All Semantics
Semantic search is search that understands the meaning of a natural language query as opposed to viewing search terms as keywords. Simplicable brought this interesting information to us in their article, “What is Semantic Search?” To properly use semantic search, a search engine back end is required that can discover, rank and index knowledge resources. In addition,…
Read MoreDigging Through Data
The volume of papers emerging from the world’s universities is increasing on a daily basis. Estimates are as high as 10,000 new papers being published every day. This information came to us from the DZone in their article, “How Automation Can Help Us Deal With the Data Deluge.” A number of tools have been developed to help…
Read MoreFirst Time Conference Offers Unique Educational Opportunities
Mark your calendars and make plans now to attend the first annual Data Architecture Summit in Chicago, Illinois on November 13-16, 2017. This will be a unique opportunity for in-depth education from leading experts in the world of data architecture. A few of the workshop titles include: Introduction to Graph Data Management, Designing Data Governance, Metadata and Quality…
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