01871nas a2200217   4500008004100000245009200041210006900133260000900202300001100211490000600222520115200228653002301380653001501403653001501418653003001433653002501463100001901488700001401507700001501521856011701536       2008                        eng d00aAutomating the management of scientific conferences using information mining techniques0 aAutomating the management of scientific conferences using inform  c2008  a3 - 110 v63 aConference management systems, which help organizers in carrying out tasks in the workflow, of scientific events are widely used in the academic world. In this paper we focus on tasks where methods from the domain of information retrieval, information management and information organization can assist the organizer, the program committee members and the participants. We present a method for the creation of an improved review process by better matching the reviewers expertise with the paper topics, which can to increase the quality of the conference. Furthermore the conference participants benefit from better access to the wealth of information accumulated throughout a conference series. The Conference organizers profit from the reduced workload because of the partial automating of tedious tasks, such as the review assignment, the compilation of the conference program and the creation of poster setup plans. We report on case studies from a small-sized (around 200 participants), a medium-sized (around 400 participants) as well as a large (more than 700 participants) conference in the computer science as well as the medical domains.10aAssignment problem10aAutomation10aClustering10aInformation visualization10aSelf-organizing maps1 aPesenhofer, A.1 aMayer, R.1 aRauber, A.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-56849090253&partnerID=40&md5=bcbf62b3dabc739191df5c6d0fcdad5001788nas a2200181   4500008004100000245007800041210006900119260000900188300001400197490000600211520118900217653001901406653002001425100001401445700001501459700001501474856011701489       2008                        eng d00aMap-based interfaces for information management in large text collections0 aMapbased interfaces for information management in large text col  c2008  a294 - 3020 v63 aThe Self-Organising Map (SOM) has been proposed as an alternative interface for exploring Digital Libraries or other big document collections, in addition to conventional search and browsing. With advanced visualisations assisting the user in understanding the contents of the map and its structure, as well as advanced interaction modes as zooming, panning and area selection, the SOM becomes a feasible alternative to classical search interfaces. Several applications show the SOM's utility for this task. However, there are still shortcomings in helping the user understanding the ma, which is essential to fully exploit the SOM's potential as an Information Management tool. There are insufficient methods developed for describing the map to support the user in the analysis of the map contents. In this paper, we give an overview of existing techniques and applications of SOMs in Digital Libraries, and present recent work in assisting the user in exploring the map by automatically describing maps using advanced labelling and summarisation of map regions, focusing on text collections. Therewith, the SOM becomes an attractive tool for Information Management in large corpora.10aMap interfaces10aText collection1 aMayer, R.1 aRoiger, A.1 aRauber, A.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-70349977818&partnerID=40&md5=0a5cd581dabcf26526b1e0ca5ed375bb