Call for Papers of the Special Session on Web Data Matching – WDM 2012
When Nov 21, 2012 – Nov 23, 2012
Where São Carlos, Brazil
Submission Deadline Aug 15, 2012
Notification Due Sep 15, 2012
Final Version Due Sep 30, 2012
From the call for papers:
Under the framework of the 8th International Conference on Next Generation Web Services Practices (NWeSP 2012), 21-23 November 2012 in São Carlos, Brazil
Objectives
In recent years, research in area of web mining and web searching grows rapidly, mainly thanks to growing complexity of digital data and the huge quantity of new data available every day. A Web user wishing to find information on a particular subject must usually guess the keywords under which that information might be classified by a standard search engine. There are also new approaches such as the various methods of the classification of web data based an analysis of unstructured and structured web data and use of human and social factors. WDM workshop focuses mainly (but not only) on methods of analysis of web data leading to their classification and use to improve user orientation at Web.
Specific topics of interest
To address the aforementioned aspects of evolution of social networks, the preferred topics for this special session are (but not limited to):
- Web pattern recognition and matching
- Web information extraction
- Web content mining
- Web genre detection
- Deep web analysis
- Relevance and ranking of web data
- Web search systems and applications
- Mapping structured and unstructured web data
I realize it is fashionable to sprinkle “web” or “web scale” in papers and calls for papers but is the object of our study really any different?
Does it matter for authorship, genre, entity extraction, data mining, whether the complete texts of Shakespeare are on your local hard drive or some website?
Or to put it another way, should the default starting point be to consider all the data on the Web?
How would you create a lens or filter to enable a user to start with “relevant” resources for a query?