IP protection

PART B: VALORISATION PLAN

1 Please provide a short description of the state-of-the-art and/or current trends in the field? How does the result fit into it?
The state of the art is underpinned by the resource sharing internet utilities. Users that require

To build new sites, commercials, promotional materials need to produce copyright free materials that most often include travelling of material collecting personnel to the islands. The share resource utility will allow sharing the portal’s resources with payment option. Such concepts are presented in photo portals like photostogo.

 

2 What is the problem/need/knowledge gap that the research result is responding to?  How was it addressed before?
Almost all shared resource utilities they provide a single medium like a photo. The utility provides complete templates (photo description, historical data etc) that are verified by relevant experts.

 

3 What is the potential for further research?
Further research could be made for colleting additional information for each template of touristic interest through the use of social media using clustering techniques. The unscreened information must be validated and in this case copyright issues must be resolved.

 

4 What is the proposed method of IPR-protection? (patent, license, trademark etc.)
The adoption of the Creative Commons licensing model is suggested

  • overcomes the rigidity of the “All Rights Reserved” status and introduces the “Some Rights Reserved” status
  • includes terms and clauses for open distribution of content
  • is easy to use by an author or right-holder to grant permissions for any use of their works
  • has no cost
  • is enhanced by technological elements, i.e. meta-data software code
  • is applicable to all sorts of creative works

 

 

5 What are the steps that need to be taken in order to secure the IPR-protection? What is the cost of IPR-protection?
Creative Commons licensing model a design of the platform in the form a blueprint is required and an application for license.

 

6 What is you overall assessment of the scientific maturity of the research result?
The scientific maturity of the research result has reached a satisfactory level. Further improvements can be implemented regarding applicability of dynamic datasets, improvement of automatic titling, improvement of tourism resource presentation and payment methods.

 

KEYWORDS QUANTITATIVE ASSESSMENT (0-5).

Please put X as appropriate. 1 2 3 4 5
Scientific maturity         X
Synergies         x
State-of-the-art/innovation         X
IPR-potential         x

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CapturEmos – Capturing emotional patterns in microblogging data streams

Current work has carried out a particular sentiment analysis technique to capture the social pulse and the emerging trends, over microblogging data streams (produced by the twitter application). The purpose of this work is to get the twitter activity and understand people’s emotions, in relevance to specified thematic topics. The emotions studied overcome the typical positive-negative declaration to a wider emotional spectrum of six major emotions (recognized in the bibliography). For each emotion a scaling analysis is carried out towards a more fine-grained monitoring of emotions’ intensity.

Microblogging data streams analysis is a challenging field since it embeds difficulties in both the content published and the usage around it. Microblogging data are characterized by non-formal language writing, freestyle opinion expressing, and unpredictable and often unexpected post bursting. The state of the art is underpinned by mining techniques towards tweet topics and users recommendations and tweet hot topics detection. However, so far efforts suffer from several limitations—such as noise in tweets, lack of uniformity, and spam—thus not presenting an adequate solution to the problem of emotional patterns capturing. Therefore, automated emotion-wise mining methods are of particular importance to improve the wisdom of the crowds capturing. Because it’s common for users to post their opinions along with their feelings or attitude about them—we can view emotion classes and scales as natural units in such processed. It’s for this reason that automating the process of detecting and capturing emotions in tweet data sets can enhance understanding of trends and opinions evolution in such microblogging services.

Some of the potential applications that can be developed by CapturEmos are the following:

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