- Email: [email protected]
Special issue on Spatial and Image-based Information Systems
ARTICLE IN PRESS
Journal of Visual Languages and Computing 19 (2008) 1–2
Journal of Visual Languages & Computing www.elsevier.com/locate/jvlc
Preface
Special issue on Spatial and Image-based Information Systems Spatial and image-based information systems are increasingly at the heart of novel applications, raising new challenges in complex spatial data modelling, spatial data and image sharing, and emergent geo-spatial data semantics. This special issue includes extended and revised papers from the ACM SAC track on Advances in Spatial and Imagebased Information Systems (ASIIS) which aims to foster interdisciplinary discussions and research in several aspects of spatial and image based information systems. After a very tight review process, the two best papers from the 8 papers presented at ASIIS’06 have been selected. The first paper presents ‘‘A Global Process to Access Documents’ Contents from a Geographical Point of View’’ where spatial and temporal core models are proposed to give a formal representation of geographical information. The models consider heterogeneous human profiles to express their queries. Semantic processes have been built to automatically manage the spatial and temporal information from non-structured data. A ‘‘back office’’ prototype, which adds these processes to classic information extraction (IE) approaches while associating a geographical information retrieval (GIR) service, is proposed. It searches for any links between formal representations of geographic information in document collections, and similar representations in a user’s information query. The paper presents also the design work, giving the details of the principles of result visualization and navigation while proposing a ‘‘front office’’ first implementation of the system. In the second paper entitled ‘‘Indexing for multipoint interactive similarity retrieval in iconic spatial image databases’’, the authors address the interactive similarity retrieval to resolve the fuzzy area involving psychological and physiological factors of individuals during the retrieval process. In this paper, the authors propose to use a dynamic similarity measure on top of the enhanced digraph index structure for interactive iconic image similarity retrieval. The proposal makes use of multiple feedbacks from the user to get hidden subjective information of the retrieval, and avoids the high cost of re-computation of an interactive retrieval algorithm. We hope this special issue motivates researchers to take the next step beyond building models to implementing, evaluating, comparing, and extend proposed approaches. Many 1045-926X/$ - see front matter r 2008 Elsevier Ltd. All rights reserved. doi:10.1016/j.jvlc.2007.12.002
ARTICLE IN PRESS 2
Preface / Journal of Visual Languages and Computing 19 (2008) 1–2
people worked long and hard to help this issue become a reality. We would first like to gratefully acknowledge and sincerely thank all the reviewers for their timely and insightful valuable comments and criticism of the manuscripts that greatly improved the quality of the final versions. Of course, thanks are due to the authors, who provided excellent articles and timely extended revisions. Finally, we are grateful to the editors of JVLC, in particular Professor S. K. Chang, for his trust in ASIIS, his efforts, patience, and painstaking editorial work during the production of this special issue.
Reviewers Catherine Berrut, University of Joseph Fourier, France Michela Bertolotto, University College Dublin, Ireland Alain Bouju, University of La Rochelle, France Harald Kosch, University of Klagenfurt, Austria Yong Jin Kwon, Hankuk Aviation University, Korea Ki-Joune Li, Pusan National University, Korea Michel Mainguenaud, INSA Rouen, France Vincent Oria, NJIT, USA Mathew J. Palakal, Indiana University-Purdue University, USA Luise Sapino, Universita di Torino, Italy Markus Schneider, University of Florida, USA Shen Hen Tao, University of Queensland, Australia Tezuka Taro, Kyoto University, Japan Agma Juci Traina, University of Sao Paulo, Brazil Caetano Traina Junior, University of Sao Paulo, Brazil Christelle Vangenot, Swiss Federal Institute of Technology, Switzerland S. Winter, University of Melbourne, Australia Guest Editors Richard Chbeir LE2I-Bourgogne University, 21000 Dijon, France E-mail address: [email protected] Kokou Yetongnon LE2I-Bourgogne University, 21000 Dijon, France E-mail address: [email protected] Christophe Claramunt Naval Academy Research Institute, Brest, France E-mail address: [email protected]
Journal of Visual Languages and Computing 19 (2008) 1–2
Journal of Visual Languages & Computing www.elsevier.com/locate/jvlc
Preface
Special issue on Spatial and Image-based Information Systems Spatial and image-based information systems are increasingly at the heart of novel applications, raising new challenges in complex spatial data modelling, spatial data and image sharing, and emergent geo-spatial data semantics. This special issue includes extended and revised papers from the ACM SAC track on Advances in Spatial and Imagebased Information Systems (ASIIS) which aims to foster interdisciplinary discussions and research in several aspects of spatial and image based information systems. After a very tight review process, the two best papers from the 8 papers presented at ASIIS’06 have been selected. The first paper presents ‘‘A Global Process to Access Documents’ Contents from a Geographical Point of View’’ where spatial and temporal core models are proposed to give a formal representation of geographical information. The models consider heterogeneous human profiles to express their queries. Semantic processes have been built to automatically manage the spatial and temporal information from non-structured data. A ‘‘back office’’ prototype, which adds these processes to classic information extraction (IE) approaches while associating a geographical information retrieval (GIR) service, is proposed. It searches for any links between formal representations of geographic information in document collections, and similar representations in a user’s information query. The paper presents also the design work, giving the details of the principles of result visualization and navigation while proposing a ‘‘front office’’ first implementation of the system. In the second paper entitled ‘‘Indexing for multipoint interactive similarity retrieval in iconic spatial image databases’’, the authors address the interactive similarity retrieval to resolve the fuzzy area involving psychological and physiological factors of individuals during the retrieval process. In this paper, the authors propose to use a dynamic similarity measure on top of the enhanced digraph index structure for interactive iconic image similarity retrieval. The proposal makes use of multiple feedbacks from the user to get hidden subjective information of the retrieval, and avoids the high cost of re-computation of an interactive retrieval algorithm. We hope this special issue motivates researchers to take the next step beyond building models to implementing, evaluating, comparing, and extend proposed approaches. Many 1045-926X/$ - see front matter r 2008 Elsevier Ltd. All rights reserved. doi:10.1016/j.jvlc.2007.12.002
ARTICLE IN PRESS 2
Preface / Journal of Visual Languages and Computing 19 (2008) 1–2
people worked long and hard to help this issue become a reality. We would first like to gratefully acknowledge and sincerely thank all the reviewers for their timely and insightful valuable comments and criticism of the manuscripts that greatly improved the quality of the final versions. Of course, thanks are due to the authors, who provided excellent articles and timely extended revisions. Finally, we are grateful to the editors of JVLC, in particular Professor S. K. Chang, for his trust in ASIIS, his efforts, patience, and painstaking editorial work during the production of this special issue.
Reviewers Catherine Berrut, University of Joseph Fourier, France Michela Bertolotto, University College Dublin, Ireland Alain Bouju, University of La Rochelle, France Harald Kosch, University of Klagenfurt, Austria Yong Jin Kwon, Hankuk Aviation University, Korea Ki-Joune Li, Pusan National University, Korea Michel Mainguenaud, INSA Rouen, France Vincent Oria, NJIT, USA Mathew J. Palakal, Indiana University-Purdue University, USA Luise Sapino, Universita di Torino, Italy Markus Schneider, University of Florida, USA Shen Hen Tao, University of Queensland, Australia Tezuka Taro, Kyoto University, Japan Agma Juci Traina, University of Sao Paulo, Brazil Caetano Traina Junior, University of Sao Paulo, Brazil Christelle Vangenot, Swiss Federal Institute of Technology, Switzerland S. Winter, University of Melbourne, Australia Guest Editors Richard Chbeir LE2I-Bourgogne University, 21000 Dijon, France E-mail address: [email protected] Kokou Yetongnon LE2I-Bourgogne University, 21000 Dijon, France E-mail address: [email protected] Christophe Claramunt Naval Academy Research Institute, Brest, France E-mail address: [email protected]