Linked Data Plays a Role in Efforts to End IoT Fragmentation
The Internet of Things (IoT) is on the fast track, with IHS Markit recently forecasting that the number of connected IOT devices this year will reach 20 billion. In its report, IoT Trend Watch 2017, however, the research firm also points to technology fragmentation in the area, which will require efforts including further alignment of […]
Read More →2017 Trends for Semantic Web and Semantic Technologies
Are you hearing the term “Semantic Web” as often as you may have in the past? There’s no denying the importance of the technologies, standards, concepts, and collaborations that define the Semantic Web proper and all that is affiliated with it or grown out of it. These range from a dependency on RDF/OWL triple stores […]
Read More →The Knowledge Representation Corner: Procedural vs. Declarative
Click to learn more about author Adam Pease. Programmers that are new to ontology may be prone to think that any tool or language can be used to represent terms, definitions, and facts about the world. After all, as programmers, we’re used to solving problems in code and know that whether we use Perl, C++, Java, […]
Read More →A Data Extraction System for Unstructured Documents
Click here to learn more about George Roth. Let’s assume that we have a system that extracts information from unstructured documents. There are two types of unstructured documents: Type A: There are unstructured documents with known content (e.g. legal contract document, SEC filings, etc.). An essential property of these is that can be classified based […]
Read More →Software Semantic Evolution, Part 6
Click to learn more about Yefim (Jeff) Zhuk. Catch up on this blog series with Part 1, Part 2, Part 3, Part 4, and Part 5. SOA and Microservices, RAML and DataSense by MuleSoft, and the Next Step Collaboration of Services and Transformation of “tribal knowledge” Collaboration between people and groups seems to be a thing with a positive sign, although […]
Read More →Software Semantic Evolution, Part 5
Click to learn more about Yefim (Jeff) Zhuk. Catch up on this blog series with Part 1, Part 2, Part 3, and Part 4. SOA and Microservices, RAML and DataSense by MuleSoft, and the Next Step Semantic Logging and Semantic Listener In a semantically rich environment, there is no need for complex monitoring tools. The service names and descriptions as well […]
Read More →Press Release: Agenda Announced for the Financial Industry Business Ontology Event
San Diego, CA – EDM Council and DATAVERSITY announced the educational agenda for the first Financial Industry Business Ontology (FIBO™) Management and Technical Conference. The event will be held on April 19 – 20, 2016 at the Sheraton Hotel and Marina in San Diego, California. Visit http://fibo2016.dataversity.net/ to review the agenda, event details, speakers, and […]
Read More →Software Semantic Evolution, Part 4
Click to learn more about Yefim (Jeff) Zhuk. Catch up on this blog series with Part 1, Part 2, and Part 3. SOA and Microservices, RAML and DataSense by MuleSoft, and the Next Step A small intro to the science of knowledge. If you agree with Sir Francis Bacon that “Knowledge is Power”, it might be no surprise for […]
Read More →Software Semantic Evolution: Part 2
Learn more about Yefim (Jeff) Zhuk. Click here to read Part 1, Part 3, and Part 4 of this series. Microservices, RAML, DataSense by MuleSoft, and the Next Step RESTful API Modeling Language (RAML) Have you worked for an enterprise that developed thousands of services? At some point you might have noticed that it is easier to […]
Read More →Semantic Hub Architectures: A Complement to Data Lakes
Delightful metaphors of data lakes, data reservoirs, data flow, and the defeat of data silos paint a picture that data, like water, is entirely fungible: With accommodations made for data to go through an enterprise data cleansing system and for changing the pipes so that access to it is ensured, it will stream smoothly and […]
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