Melissa is a provider of global contact data quality and identity verification solutions. Their informatics division, Melissa Informatics, is advancing on the expectations of big data using semantic technologies and machine reasoning. Global Newswire brought this interesting information to our attention in their article, “Melissa Informatics Advances Big Data Promise with Semantics and Machine Reasoning.”
Together, these tools can help break through enterprise bottlenecks by enabling targeted data curation, integration, and interoperability of complex data.
Semantic technology has played a substantial role in the integration of big data. A number of challenges exist in the effort to support big data integration. The biggest is probably incomplete data. Existing data sources are frequently sparse, uncertain, and incomplete making it difficult to derive logical conclusions. A close second would be the scalability of semantic web tools. Most current semantic web tools that have been applied in the relational database realm have difficulty providing support at big data (terabyte and above) levels.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.