How Human Curation is making a Come Back
Recommendation algorithms are not as infallible as technology companies have made them out to be. Companies like Netflix, HBO, Apple, and Facebook are back to leveraging human touch. The reintroduction of human curation by these giants appear to be an acknowledgement of the fact that handing the curation job to people still has value. Even […]
Read moreTaxonomies Continue to Provide Value to Organizations
The core value and use cases for taxonomy have remained unchanged for the last few decades. Outcomes such as improved findability, discoverability, awareness, alignment, standardization, and understanding, have only gained in relevance. But, why are these outcomes important? To begin with, taxonomy enhances findability in many ways. For instance, it drives site navigation and information […]
Read moreAre Chart Taxonomies A Strong Starting Place For Learning Or An Unnecessary Creative Constraint?
Chart taxonomies help analysts and designers make informed decisions about what charts to use when. However, data visualization instructors hold contradictory views on the usefulness of these taxonomies. While some regard it as a starting place for people new to data visualization, others believe these taxonomies oversimplify chart selection and limit innovation in design. There […]
Read moreHow to Organize, Define and Leverage Metadata for Better Business Insights
Metadata supports data governance, regulatory compliance, and data management demands by providing critical details about data assets such as what it is, when it was created, how it has been altered, and who has access. Metadata is also vital for understanding and effectively deploying data resources to support enterprise departments, and their processes. Additionally, metadata […]
Read moreA Linked Open Data Infrastructure for Digital Humanities
To create intelligent web services based on heterogeneously distributed data sources such as the collection data in cultural heritage organizations, data has to be made mutually interoperable and machine-understandable. Furthermore, the data has to be findable, accessible, and re-usable by both, data publishers and users, to eliminate duplicate work. To satisfy these FAIR principles, shared […]
Read moreQuery Expansion in Enterprise Search
Enterprise search users assess the initial performance of a search application by looking through the Search Engine Results Pages (SERPs). Once they have a sense of the direction taken by the application, they have two options, either to apply filters and facets or expand or revise the query. The latter is a relatively difficult option […]
Read moreWhat Young Researchers expect from a Modern Search Tool
Modern researchers, who grew up Googling for everything, approach their research differently as against the previous generations. Hence, their expectations from the modern research and development (R&D) search tools are also different. Modern researchers expect R&D search tools to search across databases, full-text articles, pre-assess an article’s relevance, have domain-specific search filters, and produce trusted […]
Read moreExploring a Few Approaches to Hierarchical Classification
The human mind perceives the world around it in hierarchical structures. The input for the models built by humans are, however, flat. This creates dissonance. For instance, humans find the class-hierarchy tree for animals, intuitive. Nevertheless, they find presenting the relationships to a machine-learning algorithm a challenge. So, how to work with taxonomic data, without […]
Read moreHow Ontologies Help Enterprises in Data Modeling
To understand data, it is important to recognize its syntax and semantics. This is why relational data modeling or eXtensible Markup Language (XML) modeling, the two models used in the last couple of decades for modeling data, have their limitations. Between the two, XML can capture the syntax. Additionally, semantics can be written in an […]
Read moreOn Standards, Software, and Tips for Taxonomy Mapping
Taxonomies are mapped to each other so that they can be employed in one combination or the other. Mapping was considered to be unidirectional, i.e. from terms in a tagged taxonomy to terms in a retrieval taxonomy. However, with taxonomy mapping being performed more frequently today, the view has become broader as reflected in the […]
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