Posts Tagged ‘annotation’

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/.

Introduction

Currently, more than 80% of the information exchanged on the Web carry personal data and are primarily of multimedia nature (video, audio, images, etc.). Two main reasons are behind this phenomenon: 1) each of the major players on the Internet (individual users, companies, local and/or regional authorities, etc.) is both data producer and data consumer at the same time, and 2) the use of various tools of Web 2.0 (blogs, social networks, etc.) allows to ease sharing, accessing, and publishing information on the Web. While such tools provide users many easy-to-use functionalities, several issues, however, remain unaddressed. For instance, how to automate the processes of annotation and description of some photos using the annotations/descriptions provided by the user friends on his/her blog/wiki/social network? How to provide the user with more effective and expressive means to multimedia information retrieval? How to protect a multimedia data repository (e.g., photo album) while several related information about the same content is already published (by some user friends) on the same or other blog/wiki/social network?

The general aim of this special issue is to assess the current approaches and technologies, as well as to outline the major challenges and future perspectives, related to the use of Web 2.0 in providing automatic annotation and easing retrieval and access control of multimedia data. It aims to provide an overview of the state of the art and future directions in this field, by including a wide range of interdisciplinary contributions from various research groups.

Topics

Topics of interest include but are not limited to the following:

• Semantic Web and Web 2.0
• Social Networks
• Multimedia Semantics
• Contextual Multimedia Metadata
• Annotation Enriching
• Query Rewriting
• Metadata Modeling and Contextual Ontologies for Multimedia Applications
• Management of Multimedia Metadata (Relational and XML Databases, Semantic Stores, etc.)
• Multimedia Authoring
• Multimedia-based Access Control and Authorization
• Multimedia Retrieval
• Personalizing Multimedia Content
• Cross-media Clustering
• Mobile Applications
• Multimedia Web Applications and Related Metadata Support
• Novel and Challenging Multimedia Applications

Important Dates

• Submission Deadline: November 15, 2010
• Notification of First Round of Review: January 30, 2011
• Submission of the Revised Manuscript: March 15, 2011
• Notification of Final Acceptance: April 30, 2011
• Camera-ready Submission: May 30, 2011

Submission

Authors are invited to submit contributions at the journal Online Submission System ( http://www.editorialmanager.com/mtap ) not exceeding 8000 words (approx. 20 pages single-spaced) including diagrams and references with at least 10-point Times Roman like font. All submissions will undergo a blind peer review by at least three external expert reviewers to ensure a high standard of quality. Referees will consider originality, significance, technical soundness, clarity of exposition, and relevance to the special issue topics above. Since a “blind” paper evaluation method will be used, authors are kindly requested to produce and provide the full paper, WITHOUT any reference to any of the authors. The manuscript must contain, in its first page, the paper title, an abstract and a list of keywords but NO NAMES OR CONTACT DETAILS WHATSOEVER are to be included in any part of this file.

Guest Editors

• Richard Chbeir (Bourgogne University, France, richard.chbeir@u-bourgogne.fr)
• Vincent Oria (New Jersey Institute of Technology, USA, oria@homer.njit.edu)

The Annotations feature will give developers much more flexibility around the context of a tweet. The feature will allow developers to “add any arbitrary metadata to any tweet in the system.” So, just like a tweet can today be transmitted along with information about which other tweet it was in reply to, or what location it came from, or what application it was created on, now Twitter will allow developers to make up new stuff. Twitter is looking to see how developers use Annotations before it creates any sort of taxonomy for them.

Now the company has decided to do just that. Twitter publishing tools can now add a description to any tweet their users publish, not as a part of the 140 character message, but as a small machine-readable metadata field that travels along with the content.

You can find all the information about Twitter Annotations at groups.google.com/group/twitter-api-announce/browse_thread/thread/fa5da2608865453?pli=1

What do you think about this upcoming feature? What would be the potential of semantically tagging tweets using Common Tags, for example, instead of hastags? Leave your comments below to start the discussion

Bionotate is a Web tool designed to enrich our understanding of published genetic research on Autism Spectrum Disorder (ASD). Bionotate represents an important step forward towards a sophisticated search engine that will enable faster, focused searches through the legacy of biomedical text on ASD, ultimately quickening the pace to discovery. The effort is a collaboration between Harvard University, University of Granada and Alias-i Inc.

Objective 1 of the annotation project is to have human beings (you) identify whether an ASD citation contains mention of a gene. At this point we are asking people to annotate 20 articles but it is fine if you do less. If Objective 1 goes well, later objectives will include spotting particular mentions of genes in ASD citations and the holy grail of genetics text mining, relationships between genes and other biologically relevant entities.

You can find all the information about the BioNotate project here: http://bionotate.hms.harvard.edu/autism/index.html