ESAIR 2013 - Sixth Workshop on Exploiting Semantic Annotations for Information Retrieval

There is an increasing amount of structure on the Web as a result of modern Web languages, user tagging and annotation, emerging robust NLP tools, and an ever growing volume of linked data. These meaningful, semantic, annotations hold the promise to significantly enhance information access, by enhancing the depth of analysis of today's systems. Currently, we have only started exploring the possibilities and only begin to understand how these valuable semantic cues can be put to fruitful use. To complicate matters, standard text search excels at shallow information needs expressed by short keyword queries, and here semantic annotation contributes very little, if anything.
Knowledge resources and beyond topicality
The goal of the ESAIR'13 is to advance the general research agenda on this core problem, with an explicit focus on two of the most challenging aspects to address in the coming years.
First, there is a need to include the currently emerging knowledge resources (such as DBpedia, Freebase) as underlying semantic model giving access to an unprecedented scope and detail of factual information.
Second, there is a need to include annotations beyond the topical dimension (think of reading level, prerequisite level, content credibility, transaction trustworthiness, freshness, genre, sentiment, etc) that contain vital cues for matching the specific needs and profile of the searcher at hand.