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Building a Job Matching Engine for the Global Labor Market
/in Knowledge Base, News /by JANZZ.technologyUnderstanding resumes and job ads, and finding the best matches among a great number of them is probably one of the most challenging tasks for machines today. The results and the precision of search and matching processes are dependent upon the scope and depth as well as the quality and comprehensiveness of the applied contextual and background knowledge.
Job postings are often worded in industry- and company-specific jargon that job seekers do not search for and would not use when writing their resumes. » Read more about: Building a Job Matching Engine for the Global Labor Market »
How an Ontology Can Help with Content-based Matching
/1 Comment/in Knowledge Base, News /by JANZZ.technologyJob and candidate search, job recommendations and automated candidate evaluations have one thing in common. They are a matching problem.
Simply put, given a set of CVs and a set of vacancies, the most similar items should match, that is, these items should come out at the top of the search, recommendation or evaluation. Most applications use either of two high-level approaches to achieve this: behavior-based or content-based. They each have pros and cons, and there are also ways to combine the approaches to take advantage of both techniques. » Read more about: How an Ontology Can Help with Content-based Matching »
Industry Taxonomies Enhanced by JANZZ’s Occupation Ontology
/in Knowledge Base, News /by JANZZ.technologyAt the heart of JANZZ.technology’s ontology of occupations and skills, there are over 35 taxonomies, among which occupation, skills and industry taxonomies like O*Net, ESCO, NAICS and ISCO-08. They are mapped by the JANZZ curation team to form a single entity that serves as a relational model for a great part of the world’s economic activity. As part of the latest additions to the occupational ontology JANZZon!, the curation team has inserted the two industry classifications GICS and ICB into the ontology, » Read more about: Industry Taxonomies Enhanced by JANZZ’s Occupation Ontology »
Why leading employment services and software providers are betting on ontologies.
/in Knowledge Base, News /by JANZZ.technologyAlgorithms are out, datasets are in. Perhaps one of the crucial findings in data science today is that datasets – not algorithms – might be the key limiting factor to developing human-level artificial intelligence. This contention is especially true in the case of solutions for the labor and recruitment market. Many companies in the recruitment market and public employment services are taking notice and are investing in the ontology-based solutions of JANZZ.technology.
Therefore, we have taken a brief moment to lay out the underlying reasons why datasets have become so important. » Read more about: Why leading employment services and software providers are betting on ontologies. »
Lost in Big Data? The Misguided Idea Ruling the Data Universe.
/in Knowledge Base, News /by JANZZ.technology“. . . In that Empire, the Art of Cartography attained such Perfection that the map of a single Province occupied the entirety of a City, and the map of the Empire, the entirety of a Province. In time, those Unconscionable Maps no longer satisfied, and the Cartographers Guilds struck a Map of the Empire whose size was that of the Empire, and which coincided point for point with it.[…]”
“On Exactitude in Science” » Read more about: Lost in Big Data? The Misguided Idea Ruling the Data Universe. »