Uncovering connections within and across datasets in the financial markets
The sheer volume and variety of data are prompting enterprises to identify automated solutions for deriving insights and making decisions. One way would be to apply natural language processing (NLP) and knowledge graph technology to datasets. According to Thomson Reuters, this will help label, tag, and present even difficult to manage textual datasets, and uncover […]
Read moreEPO: Linking data for better decision making
The ability to break down barriers to patent information is one of the defining features of the European Patent Office (EPO). The organization has always endeavored to make public information, useful and accessible. Precisely why, the EPO finds linked data a highly appealing tool says Benoît Battistelli, president of the Munich, Germany based organization. EPO […]
Read moreWill AI render KM irrelevant?
In the past, there have been many technologies, such as expert systems, Groupware, enterprise search, social networking and many more, which were expected to replace knowledge management (KM) or make it obsolete. Nick Milton, director of Scotland, UK based company Knoco Limited, believes artificial intelligence (AI) cannot replace KM, but it will simplify, disrupt and […]
Read moreDemonstrating the value of text analytics
Text analytics processes and outcomes are difficult to fathom when discussed and not shown. As a result, there is a need to show how text analytics are employed along with a visualization of the results. According to Ahren E. Lehnert, senior manager, text analytics solution with the Colorado, USA, based Synaptica; the search interface is […]
Read morePosition paper on open research knowledge graph
The exchange of scholarly knowledge continues to be primarily document-based. However, the proliferation of scientific-literature as granular text documents has sparked-off discussions on the reproducibility crisis. According to Sören Auer, director of the Hannover, Germany based Leibniz Information Centre for Science and Technology and University Library (TIB), there is a need to rethink document-centered knowledge […]
Read moreA schema-based approach to mapping RDB2RDF
Today, linked data has the potential to transform the web into a platform for an intelligent information system with semantic search and query capability. To maximize this capability, priority should be given for the publication of machine-readable, open and linked datasets. In addition, the vast amounts of high-quality data stored in relational databases (RDB) have […]
Read moreFactors determining the success of enterprise knowledge graphs
Enterprises build large enterprise knowledge graphs for competitive advantage, data democratization, and data future proofing. However, to be successful, Partha Sarathi Bhattacharjee, senior solutions engineer at Massachusetts, USA based organization Cambridge Semantics says, enterprises have to factor in variables such as people, data and product. To deploy an enterprise knowledge graph successfully, a bold and […]
Read moreMarketers and data taxonomy
Data taxonomy can help marketers analyze the impact of each channel and tactic. Track changes in performance and take effective decisions on optimization. Furthermore, data taxonomy will improve data standardization practices and business processes. In addition, it will enhance the marketing department’s data integration framework across inputs. Today, a marketing leader is also a citizen […]
Read moreHow Natural Language Processing helped Quora to become one of the most popular Q&A sites in the world
Artificial intelligence (AI) is ubiquitous because it touches several disciplines. According to Gennaro Cuofano, business developer at WordLift—a start-up based in Rome, Italy—a field of AI named natural language processing (NLP) is playing a significant role in making Quora popular. Millions of people visit the Q&A (Question & Answer) website to discover high-quality answers to […]
Read moreOntology—a critical component of information architecture
The word ontology appears in numerous contexts ranging from the philosophical to the applied. According to Ashlea McKay, a senior user experience writer and researcher, in the context of information architecture (IA), ontology refers to the meaning behind labels, terms, and language and content categories. Furthermore, ontology is driven by the needs, expectations and goals […]
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