Posts Tagged ‘Solution’

Linked Data: The Future of Data Integration

John Walker of NXP recently discussed Linked Data as the future of data integration in the enterprise. He writes, “The main business drivers for this have, so far, been mostly internal: how to ensure product data is available across internal systems in an easy-to-use and efficient manner. In many areas simple XML messages and other B2B standards are applicable, but within a portfolio of over 20,000 products across a broad variety of functions and technology it simply is not possible to describe the complex properties of an electronic component with a handful of standard XML elements. Also the tree-based XML DOM soon starts to become a limitation when dealing with a highly-interlinked web of information. The answer (as it turns out) is quite simple: think graph.” Read more

Semantic Technology’s Role in Big Data Solutions?

Forbes has published an article that points out an opportunity for Semantic Technology companies. The article discusses the lack of understanding in companies around big data. Author Gil Press writes, “Listening to Gartner analysts Sheila Childs and Merv Adrian talking yesterday about big data infrastructure challenges, I was reminded of a story Mike Ruettgers, former EMC CEO, liked to tell about similar challenges in the early 1990s. At the time, the reigning buzzword was ‘client/server computing,’ signaling a shift to relatively inexpensive servers based on the UNIX operating system. The early adopters were not the people in the glass houses, the data center managers. Rather, they were marketing managers and other business executives.” Read more

Nova Spivak on Twitter’s API Problem

Nova Spivak recently shared his solution to the Twitter API problem (we wrote about this yesterday). He writes, “I am writing this article because I love Twitter, and I’ve built a business around making sense of Twitter data. I am concerned by the recent ‘ominous’ signs that Twitter may be heading down a path towards becoming a closed platform — a path that betrays the trust and goodwill given to them by millions of users and developers. I want Twitter to achieve its potential, and to be as successful as possible – and I believe these goals are best-achieved by Twitter living up to its promises to be an open ecosystem.”

He continues, “In this article I am going to present some observations about Twitter’s policies, what might happen if they abandon them, and most importantly, what I think would be a better way for Twitter to monetize than what they appear to be doing. Read more

Semantics in Customer Service

The Cogito team has been working on applying semantic technologies to customer service operations. The team writes, “We’re proud to announce our work with Vodafone, one of the world’s largest mobile communications groups. Working with technology partner Assist, we’re using our Cogito Answers semantic platform to provide SMS based customer service that is now successfully handling more that 500,000 SMS requests each month. When a user sends an SMS to the system—“how much will I pay for calls to London?”—Cogito Answers interprets and categorizes the request and quickly retrieves the answer from the internal knowledge base.” Read more

Finding Experts on the Social Semantic Web


The Web has connected people in ways that were unimaginable just a few years ago. In particular the remarkable rise of social networks has increased the possibility of staying in contact with family, friends, colleagues and even bare acquaintances. It has created an environment for collaborative working. Real-time Web has allowed us to experience the presence of others while on-line and share our lives with them. Most importantly, the Web has integrated itself in our everyday activities. We communicate, we buy, we publish, we read, we give presentations, we organize content, we rate, we mate … on the Web.

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Bringing Semantic Technologies to Enterprise Data

World Wide Web inventor Sir Tim Berners-Lee declared the Semantic Web ‘open for business’ in 2008, celebrating the ratification of the SPARQL query specification by the World Wide Web Consortium (W3C); the organisation of which he is Director. “I think we’ve got all the pieces to be able to go ahead and do pretty much everything,” he stated in an interview. “You should be able to implement a huge amount of the dream, we should be able to get huge benefits from interoperability using what we’ve got. So, people are realising it’s time to just go do it.”

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The Semantics of Meaningful XML Keyword Search Using SQL

Executive Summary

XML Keyword Search is still a popular academic subject. It has not reached or been recognized by XML and Internet commercial products yet. The concepts involved are also very important to the semantic web. The semantics industry today with its work on higher level semantics like ontologies and taxonomies has overlooked the importance of utilizing the semantics of hierarchical structured data like XML. When working with hierarchically structured data, the first level of handling semantic understanding must be recognizing the hierarchical structure and its (lower level) hierarchical semantics. This is then used to eliminate false keyword search results that can show up as matches in hierarchical structures; otherwise they will go undetected to the higher level semantic processing which will also not detect them since they are not concerned with the structure of the data. This will cause unmeaningful results to be returned. 

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