Improve blog search and discovery with classification and Ontology

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Fiona McNeill, chief analytical global marketing officer of SAS Institute, explained that when applying classification and ontology, unstructured text data will be combined to identify, extract and classify blog, website and portal content. The tool essentially declares whether the concept of the classification system exists or whether there is an existential relationship. This statement generates new metadata for blogs, websites, or other text content, and provides new tags that may be included in search and search routines. McNeil said: \
By creating queries on the new student metadata (based on the content itself) and the rich set of tag \/ index metadata, you can learn more about the content and get more relevant results. \
That is, there are many keywords that can refer to the same topic (such as \
This idea is similar to the family diagram. If we go far enough, we will find that all of us are relevant anyway. The same metaphor applies to the way content is marked. Climb the tree to see how the terms are connected. Turner said that these concepts are particularly important to improve the durability and participation of blogs. \
Finally, as publisher investigates long tail keywords or more specific statements that buyers may use when approaching purchase, we will see that classification and full marking go beyond what surface level marking can do. \
Finding this balance is a challenge. \

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