Using Social Media for Ontology Enrichment

نویسندگان

  • Paola Monachesi
  • Thomas Markus
چکیده

In order to support informal learning, we complement the formal knowledge represented by ontologies developed by domain experts with the informal knowledge emerging from social tagging. To this end, we have developed an ontology enrichment pipeline that can automatically enrich a domain ontology using: data extracted by a crawler from social media applications, similarity measures, the DBpedia knowledge base, a disambiguation algorithm and several heuristics. The main goal is to provide dynamic and personalized domain ontologies that include the knowledge of the community of users.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Socially Driven Ontology Enrichment for eLearning

One of the objectives of the Language Technologies for Life-Long Learning (LTfLL) project, is to develop a knowledge sharing system that connects learners to resources and learners to other learners. To this end, we complement the formal knowledge represented by domain ontologies with the informal knowledge emerging from tagging. We have developed an ontology enrichment pipeline that can automa...

متن کامل

Efficient Training Data Enrichment and Unknown Token Handling for POS Tagging of Nonstandardized Texts

In this work we consider the problem of social media text Part-of-Speech tagging as fundamental task for Natural Language Processing. We present improvements to a social media Markov model tagger, by adapting parameter estimation methods for unknown tokens. In addition, we propose to enrich the social media text corpus by a linear combination with a newspaper training corpus. Applying our tagge...

متن کامل

A method for ontology and knowledge-base assisted text mining for diabetes discussion forum

April 2015 WMG, University of Warwick V | P a g e Abstract Social media offers researchers vast amount of unstructured text as a source to discover hidden knowledge and insights. However, social media poses new challenges to text mining and knowledge discovery due to its short length, temporal nature and informal language. In order to identify the main requirements for analysing unstructured te...

متن کامل

Structuring E-Brainstorming to Better Support Innovation Processes

Innovation is a key instrument to start a transformational process based on collaboration. It is fundamental for organisations and institutions to have well defined strategies. In this context, brainstorming sessions — and e-brainstorming tools — are effective techniques to put together and associate draft ideas. Yet, in many cases, those ideas and associations do not leave enough digital footp...

متن کامل

Leveraging Social Media Sources to Generate Personalized Music Playlists

This paper presents MyMusic, a system that exploits social media sources for generating personalized music playlists. This work is based on the idea that information extracted from social networks, such as Facebook and Last.fm, might be effectively exploited for personalization tasks. Indeed, information related to music preferences of users can be easily gathered from social platforms and used...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010