Change search
ReferencesLink to record
Permanent link

Direct link
Report on the Third Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR)
RISE, Swedish ICT, SICS.ORCID iD: 0000-0003-4042-4919
Number of Authors: 3
2011 (English)In: SIGIR Forum, Vol. 45, 33-41 p.Article in journal (Refereed) Published
Abstract [en]

There is an increasing amount of structure on the Web as a result of modern Web lan- guages, user tagging and annotation, and emerging robust NLP tools. These meaningful, semantic, annotations hold the promise to significantly enhance information access, by en- hancing 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. The workshop had an interactive format consisting of keynotes, boasters and posters, breakout groups and reports, and a final discussion, which was prolonged into the evening. There was a strong feeling that we made substantial progress. Specifically, each of the breakout groups contributed to our understanding of the way forward. First, annotations and use cases come in many different shapes and forms depending on the domain at hand, but at a higher level there are commonalities in annotation tools, indexing methods, user interfaces, and general methodology. Second, there is a framework emerging to view annota- tion as (1) a linking procedure, connecting (2) an analysis of information objects with (3) a semantic model of some sort, expressing relations that contribute to (4) a task of interest to end users. Third, we should look at complex tasks that cannot be comprehensible articulated in a few keywords, and embrace interaction both to incrementally refine the search request and to explore the results at various stages, guided by the semantic structure.

Place, publisher, year, edition, pages
ACM , 2011, 7. Vol. 45, 33-41 p.
National Category
Computer and Information Science
URN: urn:nbn:se:ri:diva-23884OAI: diva2:1042962
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2016-12-28

Open Access in DiVA

fulltext(115 kB)10 downloads
File information
File name FULLTEXT01.pdfFile size 115 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links


Search in DiVA

By author/editor
Karlgren, Jussi
By organisation
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 10 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 10 hits
ReferencesLink to record
Permanent link

Direct link