Linas Bukauskas - Academia.edu (original) (raw)
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Papers by Linas Bukauskas
Information spread in in databases cannot be found by current search engines. A database search e... more Information spread in in databases cannot be found by current search engines. A database search engine is capable to access and advertise database on the WWW. Jungle is a database search engine prototype developed at Aalborg University. Operating through JDBC connections to remote databases, Jungle extracts and indexes database data and meta-data, building a data store of database information. This information is used to evaluate and optimize queries in the AQUA query language. AQUA is a natural and intuitive database query language that helps users to search for information without knowing how that information is structured. This paper gives an overview of AQUA and describes the implementation of Jungle.
„Guidelines of competence development in the study field of informatics“ (hereinafter referred to... more „Guidelines of competence development in the study field of informatics“ (hereinafter referred to as Guidelines) is an outcome of the Vilnius University project “Development of the Concept of the European Credit Transfer and Accumulation System (ECTS) at the National Level: Harmonization of the Credit and Implementation of the Learning Outcomes Based Study Programme Design” (hereinafter referred to as ECTS project). The project is aimed at the transition from the national study credit to the new and common European credit concept proposed in the Bologna declaration. The objective of these Guidelines is to assist members of task forces for computing curricula and teachers in developing new and updating existing curricula, i.e., based on the ECTS methodology, facilitate the transition to competence-based study programmes. The Guidelines focus on issues related namely to the field of informatics and to its subject-specific groups. The resource and reference list provided at the end of ...
Lecture Notes in Computer Science, 2008
Page 1. The 3DVDM Approach: A Case Study with Clickstream Data Michael H. Böhlen1, Linas Bukauska... more Page 1. The 3DVDM Approach: A Case Study with Clickstream Data Michael H. Böhlen1, Linas Bukauskas2, Arturas Mazeika1, and Peer Mylov3 1 Faculty of Computer Science, Free University of Bozen-Bolzano, Dominikanerplatz ...
Proceedings. International Database Engineering and Applications Symposium, 2004. IDEAS '04., 2004
Page 1. Query Load Balancing for Incremental Visible Object Extraction Linas Bukauskas Department... more Page 1. Query Load Balancing for Incremental Visible Object Extraction Linas Bukauskas Department of Computer Science, Aalborg University, Denmark Email: linb@cs.aau.dk Michael H. Böhlen Faculty of Computer Science ...
ACM SIGMOD Record, 1999
Information spread in in databases cannot be found by current search engines. A database search e... more Information spread in in databases cannot be found by current search engines. A database search engine is capable to access and advertise database on the WWW. Jungle is a database search engine prototype developed at Aalborg University. Operating through JDBC connections to remote databases, Jungle extracts and indexes database data and meta-data, building a data store of database information. This information is used to evaluate and optimize queries in the AQUA query language. AQUA is a natural and intuitive database query language that helps users to search for information without knowing how that information is structured. This paper gives an overview of AQUA and describes the implementation of Jungle.
Proceedings of the twelfth international conference on Information and knowledge management - CIKM '03, 2003
Proceedings of the twelfth international conference on Information and knowledge management - CIKM '03, 2003
The visual exploration of large databases calls for a tight coupling of database and visualizatio... more The visual exploration of large databases calls for a tight coupling of database and visualization systems. Current visualization systems typically fetch all the data and organize it in a scene tree, which is then used to render the visible data. For immersive data explorations, where an observer navigates in a potentially huge data space and explores selected data regions this approach is inadequate. A scalable approach is to make the database system observer-aware and exchange the data that is visible and most relevant to the observer.In this paper we present iTopN an incremental algorithm for extracting the most visible objects relative to the current position of the observer. We implement iTopN and compare it to an improved version of the R-tree that extends LRU with the caching of the top levels of the R-tree (LW-LRU). Our experiments show that iTopN is orders of magnitude faster than LW-LRU given the same amount of memory. Our experiments also show that for LW-LRU to perform as fast as iTopN it needs three times as much memory.
2006 7th International Baltic Conference on Databases and Information Systems, 2006
An increased availability and technological advances of mobile devices open up a number of ways t... more An increased availability and technological advances of mobile devices open up a number of ways to enable the delivery of context-aware information. In particular, positionaware context is increasingly applied to a number of mobile services.
Lecture Notes in Computer Science, 2004
Page 1. Incremental Observer Relative Data Extraction Linas Bukauskas1 and Michael H. Böhlen2 1 D... more Page 1. Incremental Observer Relative Data Extraction Linas Bukauskas1 and Michael H. Böhlen2 1 Department of Computer Science, Aalborg University, Denmark linb@cs.aau.dk 2 Faculty of Computer Science, Free University of Bozen-Bolzano, Italy boehlen@inf.unibz.it ...
Computational Statistics & Data Analysis, 2003
The visual exploration of large databases raises a number of unresolved inference problems and ca... more The visual exploration of large databases raises a number of unresolved inference problems and calls for new interaction patterns between multiple disciplines-both at the conceptual and technical level. We present an approach that is based on the interaction of four disciplines: database systems, statistical analyses, perceptual and cognitive psychology, and scientific visualization. At the conceptual level we offer perceptual and cognitive insights to guide the information visualization process. We then choose cluster surfaces to exemplify the data mining process, to discuss the tasks involved, and to work out the interaction patterns.
Information spread in in databases cannot be found by current search engines. A database search e... more Information spread in in databases cannot be found by current search engines. A database search engine is capable to access and advertise database on the WWW. Jungle is a database search engine prototype developed at Aalborg University. Operating through JDBC connections to remote databases, Jungle extracts and indexes database data and meta-data, building a data store of database information. This information is used to evaluate and optimize queries in the AQUA query language. AQUA is a natural and intuitive database query language that helps users to search for information without knowing how that information is structured. This paper gives an overview of AQUA and describes the implementation of Jungle.
„Guidelines of competence development in the study field of informatics“ (hereinafter referred to... more „Guidelines of competence development in the study field of informatics“ (hereinafter referred to as Guidelines) is an outcome of the Vilnius University project “Development of the Concept of the European Credit Transfer and Accumulation System (ECTS) at the National Level: Harmonization of the Credit and Implementation of the Learning Outcomes Based Study Programme Design” (hereinafter referred to as ECTS project). The project is aimed at the transition from the national study credit to the new and common European credit concept proposed in the Bologna declaration. The objective of these Guidelines is to assist members of task forces for computing curricula and teachers in developing new and updating existing curricula, i.e., based on the ECTS methodology, facilitate the transition to competence-based study programmes. The Guidelines focus on issues related namely to the field of informatics and to its subject-specific groups. The resource and reference list provided at the end of ...
Lecture Notes in Computer Science, 2008
Page 1. The 3DVDM Approach: A Case Study with Clickstream Data Michael H. Böhlen1, Linas Bukauska... more Page 1. The 3DVDM Approach: A Case Study with Clickstream Data Michael H. Böhlen1, Linas Bukauskas2, Arturas Mazeika1, and Peer Mylov3 1 Faculty of Computer Science, Free University of Bozen-Bolzano, Dominikanerplatz ...
Proceedings. International Database Engineering and Applications Symposium, 2004. IDEAS '04., 2004
Page 1. Query Load Balancing for Incremental Visible Object Extraction Linas Bukauskas Department... more Page 1. Query Load Balancing for Incremental Visible Object Extraction Linas Bukauskas Department of Computer Science, Aalborg University, Denmark Email: linb@cs.aau.dk Michael H. Böhlen Faculty of Computer Science ...
ACM SIGMOD Record, 1999
Information spread in in databases cannot be found by current search engines. A database search e... more Information spread in in databases cannot be found by current search engines. A database search engine is capable to access and advertise database on the WWW. Jungle is a database search engine prototype developed at Aalborg University. Operating through JDBC connections to remote databases, Jungle extracts and indexes database data and meta-data, building a data store of database information. This information is used to evaluate and optimize queries in the AQUA query language. AQUA is a natural and intuitive database query language that helps users to search for information without knowing how that information is structured. This paper gives an overview of AQUA and describes the implementation of Jungle.
Proceedings of the twelfth international conference on Information and knowledge management - CIKM '03, 2003
Proceedings of the twelfth international conference on Information and knowledge management - CIKM '03, 2003
The visual exploration of large databases calls for a tight coupling of database and visualizatio... more The visual exploration of large databases calls for a tight coupling of database and visualization systems. Current visualization systems typically fetch all the data and organize it in a scene tree, which is then used to render the visible data. For immersive data explorations, where an observer navigates in a potentially huge data space and explores selected data regions this approach is inadequate. A scalable approach is to make the database system observer-aware and exchange the data that is visible and most relevant to the observer.In this paper we present iTopN an incremental algorithm for extracting the most visible objects relative to the current position of the observer. We implement iTopN and compare it to an improved version of the R-tree that extends LRU with the caching of the top levels of the R-tree (LW-LRU). Our experiments show that iTopN is orders of magnitude faster than LW-LRU given the same amount of memory. Our experiments also show that for LW-LRU to perform as fast as iTopN it needs three times as much memory.
2006 7th International Baltic Conference on Databases and Information Systems, 2006
An increased availability and technological advances of mobile devices open up a number of ways t... more An increased availability and technological advances of mobile devices open up a number of ways to enable the delivery of context-aware information. In particular, positionaware context is increasingly applied to a number of mobile services.
Lecture Notes in Computer Science, 2004
Page 1. Incremental Observer Relative Data Extraction Linas Bukauskas1 and Michael H. Böhlen2 1 D... more Page 1. Incremental Observer Relative Data Extraction Linas Bukauskas1 and Michael H. Böhlen2 1 Department of Computer Science, Aalborg University, Denmark linb@cs.aau.dk 2 Faculty of Computer Science, Free University of Bozen-Bolzano, Italy boehlen@inf.unibz.it ...
Computational Statistics & Data Analysis, 2003
The visual exploration of large databases raises a number of unresolved inference problems and ca... more The visual exploration of large databases raises a number of unresolved inference problems and calls for new interaction patterns between multiple disciplines-both at the conceptual and technical level. We present an approach that is based on the interaction of four disciplines: database systems, statistical analyses, perceptual and cognitive psychology, and scientific visualization. At the conceptual level we offer perceptual and cognitive insights to guide the information visualization process. We then choose cluster surfaces to exemplify the data mining process, to discuss the tasks involved, and to work out the interaction patterns.