IBM’s Watson heads to medical school

There is a new chapter in the life of IBM’s super computer, named Watson: IBM’s Watson goes to medical school. In colaboration with Dr. Herbert Chase of Columbia University, Watson is learning how to treat and diagnose ailments in the human body. In fact, Watson is doing well enough that this might be the harbinger [...]

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Cypher Natural Language to RDF/SPARQL transcoder – Wanted! Dead or Alive!

I’m still looking for the  holly grail to convert natural language to RDF. Today I was  reading some interesting stuff about Cypher Natural Language to RDF/SPARQL transcoder. Cypher is an AI program that generates the .rdf (RDF graph) and .serql (SeRQL query) representations of plain language input, allowing users to speak plain language to update [...]

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Tools: NLP2RDF

NLP2RDF is a framework that integrates multiple NLP tools and linguistic ontologies in order to explicate implicit meaning of natural language by means of RDF/OWL descriptions. Natural language ( a character sequence with implicit knowledge) is converted into a more expressive formalism – in this case OWL-DL – aiming to grasp the underlying meaning. This [...]

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You need help with Protégé ?

I found an interesting site where you can get some help\feedback about subjects related to Protégé Ontology Editor. Check it out: http://n4.nabble.com/Protege-Ontology-Editor-Knowledge-Acquisition-System-f136.html

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ONKI – Finnish Ontology Library Service

The national Finnish Ontology Library Service, ONKI, is a centralized ontology library (including vocabularies and thesauri) used in Finnish library and related ontology for services, creating, publishing, and using them cost-efficient. ONKI helps to link data globally, making it compatible with the semantic web. They are currently employed for example in such as MuseumFinland, HealthFinland [...]

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Human intervention in Knowledge Acquisition Process

On of the Prymas‘ goals was to have a full automatically way to acquire and infer knowledge. But since designing and feeding domain ontologies does not follow a linear process, it involves numerous revisions before a final consensual solution is developed, it’s important to validate the results obtained at each step of the mining process. [...]

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Ambiguity of the day

“… semantic networks suffer from an inherent semantic ambiguity. For example, we were unable to differentiate individuals from concepts in the resulting concept maps. Moreover, due to the direct translation of written sentences into concept map sentences, various terms were used to express synonyms, resulting in further ambiguity …” Hummm…. interesting (or not). References: Building [...]

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Ontology for media

I was researching of some information about ontologies for more uncommon formats, like, audio, pictures and video and run into the W3C Media Annotations Working Group. They published a new Working Drafts of Ontology for Media Resource 1.0 and respective api. The document defines a vocabulary to describe resources of media in the web. It [...]

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What is a Question and Answering System?

In the scope of Information Retrieval (IR) systems, question and answering (QA) is the task of automatically answer questions formulated in natural language. To find the answer, the system may consult a stuctured database or a collection of unstructured text corpus, such as documents or wikipedia pages. Typical research problems over this kind of systems [...]

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OWL 2.0 variants

OWL 2.0 is a revision and extension of OWL 1.0 (Web Ontology Language), inheriting language features, design decisions, and use cases. Figure 1. The Structure of OWL 2.0 With the extension of OWL 1.0, new features are added: Improved syntactic sugar (e.g., disjoint union of classes), making relation easier to express. More forms of improving [...]

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