01839nas a2200205   4500008004100000245006300041210006200104260000900166300001400175490000600189520117400195653002201369653003001391653001501421653001401436653002801450100001901478700001901497856011701516       2010                        eng d00aAugmenting digital libraries with web-based visualizations0 aAugmenting digital libraries with webbased visualizations  c2010  a377 - 3860 v83 aDigital libraries in their current form are bounded by their ineffcient webpage-based user interface paradigm, and even the most knowledgeable researchers can get lost in the large amount of published material available. A paper and its immediate references are displayed on a single webpage. Unfortunately, it is not readily apparent where the paper belongs in the greater context of a research field. Our goal was to develop, test, and iteratively improve the effectiveness of a web-based application, PaperCube, designed to augment and enhance a researcher's interaction with digital libraries through the use of interactive visualizations of bibliographic meta data. The visualizations set out to show different levels of detail and aspects of a paper's citation network. A primary concern was to ensure that while switching visualizations, the viewed paper or author remained focused at all times. PaperCube was validated through a user study that showed that it helped users who are trying to explore a field of research. In particular, PaperCube was shown to reduce the "cognitive load" put on a researcher and aid the "discoverability" of new research material.10aDigital libraries10aGraphical user interfaces10aNavigation10aPaperCube10aWeb-based visualization1 aBergström, P.1 aAtkinson, D.C.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-79960682007&partnerID=40&md5=746cf2e1545b3dd8f0d1697f5673e6e801777nas a2200217   4500008004100000245005300041210005300094260000900147300001400156490000600170520110600176653001901282653002001301653002201321653002701343100001601370700001501386700001701401700002401418856011701442       2010                        eng d00aRule based autonomous citation mining with tierl0 aRule based autonomous citation mining with tierl  c2010  a196 - 2040 v83 aCitations management is an important task in managing digital libraries. Citations provide valuable information e.g., used in evaluating an author's influences or scholarly quality (the impact factor of research journals). But although a reliable and effective autonomous citation management is essential, manual citation management can be extremely costly. Automatic citation mining on the other hand is a non-trivial task mainly due to non-conforming citation styles, spelling errors and the difficulty of reliably extracting text from PDF documents. In this paper we propose a novel rule-based autonomous citation mining technique, to address this important task. We define a set of common heuristics that together allow to improve the state of the art in automatic citation mining. Moreover, by first disambiguating citations based on venues, our technique significantly enhances the correct discovery of citations. Our experiments show that the proposed approach is indeed able to overcome limitations of current leading citation indexes such as ISI Web of Knowledge, Citeseer and Google Scholar.10aCitation index10aCitation mining10aDigital libraries10aInformation extraction1 aAfzal, M.T.1 aMaurer, H.1 aBalke, W.-T.1 aKulathuramaiyer, N.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-79951786283&partnerID=40&md5=4fbea6129a6c4c727c3c0618ccbe608701926nas a2200193   4500008004100000245003600041210003500077260000900112300001400121490000600135520133900141653002201480653001801502653002201520653002801542653002801570100001701598856011701615       2009                        eng d00aWhere do the authors come from?0 aWhere do the authors come from  c2009  a211 - 2180 v73 aPermanent growth of scientific publications makes bibliographic databases and digital libraries widespread. At the same time they are an object of research in their own right. In this paper we address the question of "where do the authors come from?" via language identification of the author names. This is a two-steps process which involves primary classification based on the statistical models of languages, and classification refinement achieved with the analysis of the co-author network built from the bibliographic records. A system for automatic language identification presented here handles 14 different languages and requires no dictionary of names for traing. The statistical models are built from the general purpose corpora for all Western European, Chinese, Japanese and Turkish languages. The system is fine tuned to achieve precision and recall above 90% for many languages, and provides better performance than some other systems aiming at the language identification of personal names. Tests on the DBLP data set have shown that the extension of the language model with the co-author network helps to improve classification results, especially in cases of closely related languages and mixed names. They have also demonstrated the usability of the system in applications such as data cleaning and trends detection.10aCo-author network10aDBLP database10aDigital libraries10aLanguage classification10aScientific publications1 aBiryukov, M.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-77953242477&partnerID=40&md5=d76b422a52e3bdf48f54dbd4ba5cd9c101843nas a2200229   4500008004100000245008600041210006900127260000900196300001400205490000600219520104900225653002201274653002201296653005501318653002101373653002901394100002101423700001901444700001901463700001401482856011701496       2008                        eng d00aAccessing heritage documents according to space criteria within digital libraries0 aAccessing heritage documents according to space criteria within   c2008  a102 - 1170 v63 aLocal cultural heritage document collections are characterized by contents strongly attached to a territory and its associated land history. Our contribution aims at enhancing such a content retrieval process efficiently each time a query includes geographic criteria. We propose a unified model for a formal representation of geographic information. This geographic model allows space features to be described independently of their representation mode (text, graphics) in the documents. We have developed a prototype implementing geographic Information Extraction (IE) and geographic Information Retrieval (IR) processes. We process geographic IE with semantic techniques combined to classic IE approaches. Then, we implement geographic IR with intersections researching algorithms: these algorithms search for all geocoded entities in the documents collections indexes which intersect any entity in the user's query. This paper focuses on IR and Visualization proposals relying on the geospatial characteristics of cultural heritage corpora.10aCultural heritage10aDigital libraries10aGeographic information retrieval and visualization10aGeographic model10aNon-structured documents1 aMarquesuzaà, C.1 aEtcheverry, P.1 aSallaberry, C.1 aBaziz, M.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-56849092298&partnerID=40&md5=199c3f9b17bf1a325e0c3fcc90160b1701638nas a2200193   4500008004100000245007700041210006900118260000900187300001200196490000600208520097800214653002201192653003301214653002701247100002101274700001601295700001601311856011701327       2008                        eng d00aClassification of digital libraries - An e-business model-based approach0 aClassification of digital libraries An ebusiness modelbased appr  c2008  a71 - 800 v63 aThe impact of digital libraries on information processes steadily increases. Today, users may choose from a rapidly increasing number of digital libraries with various characteristics. Business models for digital libraries evolve from mere content providers to sophisticated service suppliers They offer a rich variety of information services combined with collaboration, e-learning and portal features. Traditional classification schemes for digital libraries do not sufficiently take this development into account or fail to meet it at all. In this paper we present a novel approach to the classification of digital libraries. It is based on business model characteristics with special emphasis on the evolution of digital libraries from content to information service providers. Our classification approach helps suppliers to communicate benefits and features of their libraries more effectively. It also supports customers when selecting an appropriate digital library.10aDigital libraries10aDigital libraries evaluation10aInformation processing1 aMarkscheffel, B.1 aFischer, D.1 aStelzer, D.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-56849121020&partnerID=40&md5=5183b0da70e4e961e3e8e1e49f3af70301772nas a2200241   4500008004100000245007800041210006900119260000900188300001400197490000600211520099100217653002001208653002201228653002901250653002501279100001801304700001501322700001801337700001901355700001501374700002401389856011701413       2006                        eng d00aSemantic, constraint & preference based multimedia presentation authoring0 aSemantic constraint preference based multimedia presentation aut  c2006  a207 - 2130 v43 aWe present in this paper an integrated system that allows the management and annotation of multimedia objects stored in MPEG-7/21 repositories, and the specification and semi-automatic generation of multimedia presentations based on the content relationships that exist between the multimedia objects. This system is the outcome of the collaboration between the Technical University of Crete (TUC-MUSIC) and the University of Milan (UNIMI) in the CoCoMA (Content and Context Aware Multimedia Content Retrieval, Delivery and Presentation) project of the DELOS II European Network of Excellence on Digital Libraries. The resulting system is one of the main components of the CoCoMA infrastructure that aims to provide content- and context-aware rich interactive multimedia presentations by controlling data fusion and metadata reuse. The integrated system utilizes the SyMPA management and presentation authoring system developed by UNIMI and the DS-MIRF framework developed by TUC-MUSIC.10aAuthoring tools10aDigital libraries10aMultimedia presentations10aMultimedia standards1 aTsinaraki, C.1 aPerego, A.1 aPolydoros, P.1 aSyntzanaki, A.1 aMartin, A.1 aChristodoulakis, S.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33845937945&partnerID=40&md5=762148820f31cebc540800656d2bbd38