Advances in web technology has led to vast amounts of user generated web content in the form of blogs, reviews, opinions and social media interactions. Increasingly people search, browse and interact with other people and their experiences on travel, medicine, retail, entertainment etc for their informational and problem solving needs. Typically this vast repository of untapped knowledge and experience exists in unstructured text and multimedia forms. These rich informational snippets generally describe a particular problem situation often combined with a reflective narrative consisting of decisions made, lessons learnt and opinions expressed. Such content forms a rich source of untapped experience data - an integral resource for problem solving based on knowledge sharing and reuse. For example if one is to combine conference travel to Lyon with a holiday then it is likely that there will be many user web posts with useful travel planning tips, reviews and lists of do’s and don’ts waiting to be unearthed. Equally if one wants to identify web content that helps them to achieve a particular task (say software configuration and installation), then it is likely that there will be many related user posts describing experiences on similar tasks and crucially include suitable solutions to address such a task. We therefore envisage a new form of user need, one that possibly embodies knowledge, meaning and understanding as opposed to chunks of keywords for queries and snippets. Addressing this need calls for novel extraction, representation, retrieval and assembly strategies from existing experiential content on the web.
The core idea behind the Xperience Web is to use the Web's rich source of experiential content for reasoning tasks. This workshop will provide a forum to identify research opportunities and challenges in the use of web-related experience data specifically:
Reasoning with web content requires interdisciplinary tools to author web experience along with novel indexing and reasoning schemes that go beyond link analysis and exploit folksonomies as well as ontologies. Additionally, retrieving and reusing these experiences will require combination techniques to aggregate knowledge extracted from text, multimedia, user content and user interactions. This calls for hybrid approaches that draw from, and extend, research in a number of related areas including Case-based Reasoning, Information Retrieval, Information Extraction, Machine Learning, Natural Language Processing, Text Mining, Recommender Systems and adaptive user interfaces.
Aims and Objectives
The aim of this workshop is to provide a forum for the discussion of trends, research issues and practical experiences on the role of tools and technologies in reasoning with web-related experiential content. To achieve this we propose to incorporate the following activities in the workshop: