Posts Tagged ‘ontologies’

Abstract: This novel method is proposed for building a reliable ontology around specific concepts, by using the immense potential of active volunteering collaboration of detected knowledgeable users on social media.

Available at:

http://portal.acm.org/citation.cfm?id=1958824.1958938&coll=DL&dl=ACM&CFID=18492130&CFTOKEN=83579586

The LOV dataset contains the description of RDFS vocabularies or OWL ontologies defined for and used by datasets in the Linked Data Cloud. Whenever available each vocabulary includes references to the datasets using it, in particular those listed in CKAN. The descriptions use in particular the VOAF vocabulary to state different ways such vocabularies can rely on, extend, specify, annotate or otherwise link to each other, and reuse a lot of vocabularies it describes, such asDublin Core, voiD, BIBO, and many more.

Clicking on the vocabulary’s namespaces (including the balloons), the user can navigate the vocabularies and get further information about them.

You can find all the information at http://labs.mondeca.com/dataset/lov/index.html

OpenDover is a sophisticated Web service that allows you to extract the next generation semantic features within your blogs, content management systems, websites or other numerous applications.

OpenDover uses semantic technologies for sentiment tagging texts that you send to the service. Sentiment/emotion tags are returned to users for implementing in web applications, searches, blogs and so on.

On the other han, OpenDover provides a Web service that lets you tag your documents based on sentiments and emotions found in your documents. The OpenDover API can handle different ways of sentiment tagging, depending on what your needs are, or what the content is that you provide via the API.

The OpenDover knowledge base consists of thousands of opinion words, domain-related words and relations organized hierarchically. Since OpenDover is ontology-based, it can recognize the subject domains of the documents parsed via the API.

They also provide a live demo at http://demo.opendover.nl/.

Bueda increases the value of rich media and user-generated content via its innovative semantic analysis engine. Leveraging research from Carnegie Mellon University’s Language Technologies Institute, Bueda combines user-generated tags, existing ontologies, and semantic analysis in order to provide publishers with actionable information that can be used for content categorization, targeted advertising, content recommendation and search engine optimization. Via Bueda’s API, any UGC website can have access to the latest technology for tag disambiguation and cleanup with minimal integration hurdles.

Tags are increasingly used to organize user generated content. They give the users the freedom to tag their content with the words that make sense to them making it easier to find their own content. Unfortunately, different words are used for the same things and it is very common to find tags that are missing spaces, have typos, and are redundant or not informative. A publisher with tags of this sort is unable to connect content properly or target advertising effectively. Tags enriched by Bueda can provide not only a better overall user experience but can increase revenue generated from user content.

The Bueda API can transform noisy and redundant tags into back clean, normalized tags, with a breakdown of the semantic concepts represented in the tags. This means that your users still have the freedom of tags, and you still get the benefits of neatly categorized and curated content.

The result is happier users, a better user experience and more revenue.

The Bueda API is currently in private beta.

You can find all the info and even a demo at the Bueda website:  http://www.bueda.com

As part of the OntologySummit2010 series of activities, three online questionnaires have been developed and launched to help collect community/expert opinion and insight on the subject matter. Ontology summit conveners and invited experts are invited to provide their input through these online survey forms on/before the deadline of Monday 22-Feb-2010 (end-of-day US Eastern Standard Time, UTC -5:00).

The three questionnaires are designed to:

1. Conduct a survey on present ontology education/training content and quality.
2. Conduct a survey to elicit information about the knowledge and skills ontologists need, or are expected to have, in a variety of working contexts.
3. Conduct a real-time delphi study to elicit expert opinion and shared vision on the future of ontologists, their education and the field of ontology. [*to access this questionnaire for the first time, you will have to register yourself first ... and then, when prompted, enter the study code: "ontology"]

You can find all the information about the surveys here.