<XML><RECORDS><RECORD><REFERENCE_TYPE>10</REFERENCE_TYPE><REFNUM>8812</REFNUM><AUTHORS><AUTHOR>Alonso,O.</AUTHOR><AUTHOR>Zaragoza,H.</AUTHOR></AUTHORS><YEAR>2008</YEAR><TITLE>Exploiting Semantic Annotations in Information Retrieval</TITLE><PLACE_PUBLISHED>DCS Technical Report Series</PLACE_PUBLISHED><PUBLISHER>Dept of Computing Science, University of Glasgow</PUBLISHER><ISBN>TR-2008-267</ISBN><LABEL>Alonso:2008:8812</LABEL><KEYWORDS><KEYWORD>ECIR 2008 Exploiting Semantic Annotations in IR Workshop</KEYWORD></KEYWORDS<ABSTRACT>The goal of this workshop is to create a forum for researchers interested in the use of semantic annotations for information retrieval. By semantic annotations we refer to linguistic annotations (such as named entities, semantic classes, etc.) as well as user annotations such as microformats, RDF, tags, etc. We are not interested in the annotations themselves, but on their application to information retrieval tasks such as ad-hoc retrieval, classification, browsing, textual mining, summarization, question answering, etc. In the recent years there has been a lot of discussion about semantic annotation of documents. There are many forms of annotations and many techniques that identify or extract them. As NLP tagging techniques mature, more and more annotations can be automatically extracted from free text. In particular, techniques have been developed to ground named entities in terms of geo-codes, ISO time codes, Gene Ontology ids, etc. Furthermore, the number of collections which explicitly identify entities is growing fast with Web 2.0 and Semantic Web initiatives. Despite the growing number and complexity of annotations, and despite the potential impact that these may have in information retrieval tasks, annotations have not yet made a significant impact in Information Retrieval research or applications. Further research is needed before we can unleash the potential of annotations.</ABSTRACT></RECORD></RECORDS></XML>