Extracting Emerging Knowledge from Social Media

Today I presented our full paper titled “Extracting Emerging Knowledge from Social Media” at the WWW 2017 conference.

The work is based on a rather obvious assumption, i.e., that knowledge in the world continuously evolves, and ontologies are largely incomplete for what concerns low-frequency data, belonging to the so-called long tail.

Socially produced content is an excellent source for discovering emerging knowledge: it is huge, and immediately reflects the relevant changes which hide emerging entities.

In the paper we propose a method and a tool for discovering emerging entities by extracting them from social media.

Once instrumented by experts through very simple initialization, the method is capable of finding emerging entities; we propose a mixed syntactic + semantic method. The method uses seeds, i.e. prototypes of emerging entities provided by experts, for generating candidates; then, it associates candidates to feature vectors, built by using terms occurring in their social content, and then ranks the candidates by using their distance from the centroid of seeds, returning the top candidates as result.

The method can be continuously or periodically iterated, using the results as new seeds.

The PDF of the full paper presented at WWW 2017 is available online (open access with Creative Common license).

You can also check out the slides of my presentation on Slideshare.

A demo version of the tool is available online for free use, thanks also to our partners Dandelion and Microsoft Azure.

You can TRY THE TOOL NOW if you want.

Modeling and Analyzing Engagement in Social Network Challenges

Within a completely new line of research, we are exploring the power of modeling for human behaviour analysis, especially within social networks and/or in occasion of large scale live events. Participation to challenges within social networks is a very effective instrument for promoting a brand or event and therefore it is regarded as an excellent marketing tool.
Our first reasearch has been published in November 2016 at WISE Conference, covering the analysis of user engagement within social network challenges.
In this paper, we take the challenge organizer’s perspective, and we study how to raise the
engagement of players in challenges where the players are stimulated to
create and evaluate content, thereby indirectly raising the awareness about the brand or event itself. Slides are available on slideshare:

We illustrate a comprehensive model of the actions and strategies that can be exploited for progressively boosting the social engagement during the challenge evolution. The model studies the organizer-driven management of interactions among players, and evaluates
the effectiveness of each action in light of several other factors (time, repetition, third party actions, interplay between different social networks, and so on).
We evaluate the model through a set of experiment upon a real case, the YourExpo2015 challenge. Overall, our experiments lasted 9 weeks and engaged around 800,000  users on two different social platforms; our quantitative analysis assesses the validity of the model.

cross-platform_pdf

 

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EventOmeters by Fluxedo: the new actor in Event Management. Mobile app + social media (semantic) analytics + IoT

Following up on my recent perspective that moves from model-driven development to hidden-model products, together with the Fluxedo team and in collaboration with WebRatio and Eurotech, we launched a new product called EventOmeters.

EventOmeters allows businesses and event organizers to increase the effectiveness of their events, involving participants and being able to rely on certain measures for the analysis of returns on investment in trade fairs, music, sports and in general of any gathering of people.
The role of the partners is as follows:

  • WebRatio is a leading provider of tools, methods and services for the rapid production of customized applications,
  • Fluxedo is an innovative start-up focusing on mobile app development, social network integration, and semantic social media analytics,
  • Eurotech will integrate data from IoT sensors whose data is made available realtime through cloud technology.
EventOmeters has been already used in the context of the FuoriSalone, within the Milano Design Week. In this setting, the product featured around 20.000 downloads of the official mobile app of the event and an analysis of more than 110.000 social media posts.
You can find more on this at:
Here is the storified summary of the launch event that happened on April 21, 2015 in ExpoGate in Piazza Castello in Milano, Italy:
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My interview on Social Media and Society: what I said (and what I didn’t)

My recent interview on the evolution of social media and its role in modern society is available on YouTube (in Italian only, sorry about that).

While the 3+ minutes of speech necessarily had to be a general overview on the role and recent changes of social media, I wish to summarise here the some technical aspects of it.

As I mentioned in the presentation:

  • social media changed a lot since their early days, from being consumed on PCs to mobile devices, from general purpose social networks connecting friends to digital stages where we “sell” our life to the entire world, from places where to share personal information to platforms where to publish also objective information coming from the real world experience.
  • social media are nowadays a valuable source of information for companies, who look for (and find) their customers through social media marketing and advertising, and public institutions and researchers, that can leverage on a large amount of data for providing benefits to our everyday life
YourExpo2015 - the Instagram Photo Challenge of Expo2015 MilanoWhat I didn’t say is how you can do that. Well, it’s pretty simple.
The ingredients of the recipe:
  • A lot of users sharing their profile
  • A lot of content (photos, statuses, geotags, descriptions) shared by people
  • (which makes up a VERY big data problem)
  • crawlers capturing this (or stream capturing systems) and storage as needed
  • MODELS of the context, the problem and the solution
  • and DATA ANALYSIS TOOLS for studying the data and extracting meaningful information
To me, the most valuable points are MODELS and ANALYSIS TOOLS. We are doing a lot of experiments on mixing model-driven techniques with semantic analysis, NLP, and social media monitoring. One example of our experiments is the YourExpo2015 Instagram Photo Challenge.
Have a look and participate if you like. More on this coming soon!

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Trends in Web engineering: my 4 takes from ICWE 2012

At this point of the year, just before vacation time, it makes sense to me to think to Web Engineering practices at large and draw some trends and outlook for the field after this year.
As a PC chair of ICWE 2012 (International Conference on Web Engineering), this year I can claim I had a privileged view over the entire event and I think this was a good test for assessing the field.
Furthermore, being directly involved into the organization of MDWE workshop, I have been directly exposed to the specific aspects of the model-driven field for the Web.
I see the following trends in the field:

  • still limited attention to non-functional aspects in Web application development. Honestly, this doesn’t make any sense to me and makes me think that this is one of the reasons why Web Engineering is still seen as a niche sector, both in industry and academia. Actually, at least some awareness starts appearing (e.g., some works on assessing the productivity of model-driven approaches have been discussed), but actual results are still very preliminary. And the Web is ALL ABOUT NON-FUNCTIONAL ISSUES!
  • mashups are still getting a lot of attention, as demonstrated by the successful ComposableWeb workshop too. However, I think we need to rethink a little bit this field. My feeling is that traditional mashups are no longer interesting per se. Even very well known solutions like Yahoo Pipes! have reached a limited audience, and in general mashups have never reached the maturity level that let them be used for producing enterprise-class professional applications. So, am I claiming that mashups are a complete failure? Not at all! They actually represent an important step that enabled the current trends toward Web API integration, which are probably used in most of the existing Web sites. I think that the mashup community in the future should look at the broad problem of Web API integration at large.
  • the role of model-driven approaches seems to slowly move out of its original position, strictly related to modeling of Web user interfaces. The MDWE workshop raised a very interesting discussion on the role of MDE and Agile approaches (thanks also to the support of the nice Instant Community system provided by University of Trento). Some activities, including our work towards integration of WebML modeling with social networks or towards integration with Business Process Management, try to broaden the applicability of the approaches, but I think more effort is needed to revitalize the field.
  • Finally, content and social analysis (both syntactical/textual and semantic) is getting more and more interest in the community. This is demonstrated by the wide set of well-attended ICWE tutorials that addressed these issues (The Web of Data for E-Commerce, Epidemic Intelligence for the Crowd, SPARQL and Queries over Linked Data, Natural Language Processing for the Web).
If you see some other interesting trends in Web Engineering, feel free to share your thoughts!

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