The main scientific domains which will compose the thematic coverage of InSciT2006 consists of seven major topics. These topics represent the scientific and technological foundations that embrace the more active and innovative research directions within the Information Science.
With this choice of topics, InSciT2006 has sought the integration of a number of scientific disciplines so as to provide the meeting with the expected multidisciplinar and collaborative nature.

• Information Retrieval
• Digital Libraries
• Hypertext and Hypermedia Systems
• Metadata
• Electronic Publishing
• Knowledge and Information Management
• Science and Information Mapping

Together with these major topics, chosen to become InSciT2006 sessions, the scientific programme wants to place emphasise on a number of approaches which, even though not originally shaping the backbone of Information Science studies, are broadly used within the development of the major research lines. They are:

IR has traditionally grown up through the active collaboration between computer scientists and information scientists. However, the ever-changing technological environment of these days has shown that a broader multidisciplinary approach is needed when trying to understand the complex nature of the retrieval information task. HCI, NLP, Database, Data Mining, Cognitive Sciences, Social Networks, Knowledge Management communities have strongly influenced new developments which involve new concepts, new directions and new applications.
InSciT2006 precisely seeks research papers, state-of-the-art reviews and application descriptions which help us understand this newly emerging and highly multidisciplinary research field. In addition, papers containing ideas, methodologies, tools and techniques that can be assimilated by surrounding area researchers are particularly welcomed.

• Formal models and methods and language models
• Summarisation. Natural Language Processing for IR
• Question answering. Natural Language Processing for IR
• Filtering (Content-based, collaborative and recommender systems)
• Topic detection and tracking
• Text and content classification (categorization or clustering) Artificial Intelligence for IR
• Text and content representation and indexing. Artificial Intelligence for IR
• Text and content mining and Information extraction
• Structured and semi-structured document retrieval, e.g. XML based, database integration
• Meta information and structure. Related to Metadata Track
• Query optimization
• Query expansion
• Information needs, seeking, searching, and uses
• User modelling, user studies, user interaction in IR systems. Human-Computer Interaction for IR
• User interfaces for IR systems. Human-Computer Interaction for IR
• Visualisation and presentation of queries, search results or content. Human-Computer Interaction for IR
• Information visualization. Human-Computer Interaction for IR
• Interactive data exploration. Human-Computer Interaction for IR
• Metasearch, distributed retrieval, data and collection fusion (resource description, ranking, selection, searching and merging of results). Peer to peer IR
• Cross-lingual and multilingual IR, Machine translation. Artificial Intelligence for IR
• Evaluation, Building Test collections, Experimental Design and Metrics
• Architectures, Interoperability, scalability, performance, open and flexible systems
• Ubiquitous IR and Mobile platforms
• Digital video and image retrieval
• Audio and Speech retrieval. Natural Language Processing for IR
• Music Retrieval
• Multimedia and Hypermedia IR Applications. Related to Hypertext/Hypermedia Track
• Web IR systems (Web Structure Analysis, Link analysis, Enterprise Search, Blog and online communities search)
• Geographical IR
• Specialized Applications: Bioinformatics, IR for Chemical Structures, Genomic IR, Software Engineering

The importance of international and interdisciplinary collaboration in the field of digital libraries has been largely pointed out in a number of scientific forums throughout the last years. InSciT2006 conference will emphasize research papers, project descriptions, state-of-the-art reviews, that having a multidisciplinary approach, show and describe new models and theories that help us understand the technological and organizational environments where digital libraries are set. Special attention will be paid to distributed and heterogeneous environments as well as studies of overall work task users face that bring them to use digital libraries.
InSciT2006 also encourages the submission of papers exploring the development of new digital information objects and genres.

• Emerging Concepts of Digital Libraries, Digital Resources, Digital Content, Digital Objects
• System Architecture
• Integration and Interoperability
• Standards
• Operational environments
• Distributed and heterogeneous systems
• Distributed digital collections (building, storage, maintenance and development)
• Information Organization, Search and Usage
• Electronic resource management tools
• Resource Discovery
• Models and standards for information representation
• User Studies and System Evaluation
• Collaborative environments
• Graphical user interfaces
• Information visualization interfaces, tools, techniques
• Usability
• Information Seeking and Behaviour
• Empirical user studies
• User communities
• Cognitive approaches and methodologies
• Metrics, testbeds, results.
• Digital Archiving and Preservation
• Digital imagery for historical and cultural materials.
• Digital Museum
• Virtual exhibitions. Virtual environments. 3D digital museums artefacts. Digitalized spaces
• Mobile computing guide
• Digital Library Applications
• Media digital libraries, video digital libraries
• Accesible digital libraires
• Multilingual information access
• Social, organizational and economic issues
• Intellectual Property Issues
• National digital libraries, specialized digital libraries
• Digital libraries in organizational environments
• Data libraries In Education, e-learning
• Business and publishing models and tools for digital libraries and repositories

InSciT2006 seeks reports on cutting-edge or innovative research results as well as surveys of tools and technologies or presentation of innovative tools and leading-edge projects on:

• Web Hypermedia Technologies
• Web Engineering
• Web-based Information Systems
• Hypermedia Systems: composition and linking, information architecture, presentation aspects, development methods, evaluation & metrics, etc
• Linking vs Relationship: relationship concepts and models
• Authoring and Annotation
• Modelling and Authoring Hypermedia Documents
• Collaborative Hypertext
• Hyperstructures (mSpaces, Zzstructures)
• Hypermedia models
• Time-based Hypermedia
• Open hypermedia
• Spatial hypertext systems
• Adaptative hypermedia (adaptative, hyperlink-based systems)
• Blogging
• Hypertext and hypermedia tools
• Hypermedia semantics
• Hypermedia and The Semantic Web: XML, RDF, RDF Schema, DAML+OIL
• Ubiquitous Hypermedia
• Domain specific research: e-commerce, e-administration, e-learning, e-business, etc.
• Social and law issues: copyright, privacy, ethical issues

Topics include but are not limited to:

• Metadata design and semantics
• Application and Evaluation of metadata standards. Quality of metadata
• Metadata usage on digital libraries, museums and archives.
• Ontologies, vocabularies and thesauri
• Ontological and knowledge-based approaches to metadata
• Ontologies and vocabularies specific to scientific and/or technological domains
• Semantic Web and ontologies in information science and digital libraries
• Metadata-based information retrieval and browsing. Use of metadata for describing and retrieval digital objects: from articles and learning objects to journals and e-learning applications.
• Multilingual metadata vocabularies
• Federated metadata systems
• Metadata registry
• Metadata for heterogeneous sources in distributed environments
• Organisational and social aspects of Semantic Web and related technologies

InSciT2006 encourages the sharing of experiences which analyse the emerging trends of academic and technological information dissemination and publication models. With this aim, InSciT2006 welcomes the submission of reports defining and describing technologies, systems and standards implied in these models as well as current and future project descriptions related to electronic publishing, especially those concerning science and technology domains. The junction of a broad and multidisciplinary audience deemed at InSciT2006 will benefit the sharing of ideas and knowledge from diverse approaches; this will undoubtedly help us understand the conceptual framework which will rule future e-publishing.

• Electronic publishing research (platforms, systems, software)
• Scholarly communication and electronic publishing
• New ways and models of accessing scientific knowledge
• New publishing models for scholarly literature
• Open Access Journals
• Certification of scientific information / systems of quality assurance
• Self-archiving, repositories, disciplinary archives and Eprints
• Open Archives Initiative Protocol for Metadata Harvesting OAI-PMH. Project descriptions, systems, software and best practices reports
• Role of Research and Academic Libraries in Scholarly Communication
• Electronic publishing products in library automation systems
• Ethical, Legal and economic issues of electronic publishing. Digital Rights

InScit2006 encourages the submission of technical contributions dealing with open questions in specific fields related to knowledge management as well as best practice contributions reporting on experiences encountered in knowledge management projects.

• Knowledge and Information Extraction
• Content Management in organizacional environments: intranets/extrenets, CMS, etc.
• Scientific and Technologic Knowledge Management
• Scientific and technological knowledge transfer
• Frameworks for knowledge portals
• Knowledge visualization
• Organizational memories
• Knowledge Management Strategies
• Knowledge Creation and Discovery
• Knowledge-based engineering systems
• Communities and Collaboration
• Knowledge communities
• Virtual communities
• Communities of Practice
• Virtual knowledge environments
• Knowledge Sharing
• Knowledge management in decision making
• Knowledge management in business process management
• Management of intellectual capital
• Organizational learning
• Business Intelligence

The aim is to promote and present original and innovative research papers on qualitative and quantitative aspects of the information, especially scientific and technological information. This intended interdisciplinary topic seeks reports on the collaboration basis among researchers from diverse scientific and technological domains. It is also sought innovative research papers which use multidisciplinary approaches to the study of the scientific communication and dissemination processes. InSciT2006 encourages the submission of papers which use both traditional methods and innovative techniques applications form Artificial Intelligence, Databases, Datamining, Information Visualization, Social Networks, etc

In the past several years, data mining has made a significant contribution to the field of Information Science, so we find a number of techniques that help us obtain information on information usage patterns, filtering, citation analysis, result ranking o precision improvement just to name some well-known. InSciT2006 welcomes the submission of cutting-edge contributions presenting and describing these and other techniques as well as significant applications which use these concepts and techniques.

• Models / Techniques
• Query/constraint-based data mining
• Probabilistic/statistical methods
• Distributed data mining
• Collaborative filtering/personalization - usage mining - user access patterns discovering and interpreting
• Search Engines - ranking of pages - improvement of precision - citation analysis
• Concept/class description: characterization and discrimination
• Association analisis: association rules, correlation, etc.
• Prediction and classification: artificial intelligence techniques (Bayesian Networks, Genetic Algorithms, Multidimensionality)
• Cluster analysis
• Multidimensional databases, data warehouses: architectures, schemas, data cubes
• Data manipulation: clearing, integration, transformation, compression, reduction
• Visual and audio data mining
• Scientific and statistical data mining
• Case studies / benchmarks
• Commercial data mining systems

InSciT2006 encourages HCI researchers and practitioners to submit research papers, progress reports, reviews and projects reports on techniques, tools, interaction models, cognitive models and so on, applied to the improvement of the user experience when interacting with information systems. InSciT2006 especially welcomes the submission of inter-disciplinary papers which, having a cognitive focus, address subjects related to major conference topics.

• HCI
• Interface Design for Digital Libraries, IR systems, and in general for multimnedia information systems
• Ergonomics in HCI
• Cognitive models used in information processes
• Virtual reality
• Augmented Cognition
• Usability testing and evaluation
• Collaborative Virtual Environments
• Online communities
• Human and social factors of information systems
• Knowledge Acquisition
• Intelligent user interfaces
• Studies of information systems user behavior
• Innovative designs and applications of interactive systems
• Effective online communication

New developments on information systems provide these with the ability to show intelligent behaviours, this way supporting users and other systems in problem solving, as well as discovering, accessing and retrieval a number of data and multimedia information.
InSciT2006 welcomes contributions presenting results and developments addressing the integration of techniques and technologies coming from artificial intelligence with research typical of main areas of Information Science as information retrieval, digital libraries, hypermedia/hypertext systems, knowledge management, natural language processing, etc.

As a matter of reference, some techniques and fields of Artificial Intelligence which have been largely used in Information Science are listed below:

• Machine Learning
• Knowledge Engineering
• Fuzzy Logic
• Artificial Neuronal Networks
• Multi-agent Systems
• Rule-based Systems
• Expert Systems
• Bayesian Networks
• Evolutionary Computation
• Genetic Algorithms
• Semantic Networks
• Pattern recognition

Topics related to AI include but are not limited to:

• Intelligent Information Retrieval
• Relevance feedback
• Relevance evaluation using IA techniques
• Information filtering techniques
• Intelligent interfaces
• Knowledge-based systems
• Expert systems
• Intelligent Agents
• Knowledge representation
• Automatic knowledge acquisition
• Automatic Quality evaluation of information resources
• User modelling

Natural Language Processing studies the inherent problems in the processing and managing of natural languages, it is focused in facilitating the human-computer communication using human language or natural language. NLP is the discipline dealing with producing computer systems which enables such communication, by means of voice or text.
InSciT2006 encourages the submission of contributions which blend techniques and methodologies from NLP, Cognitive Science, Linguistics and AI. Especially those that by its interdisciplinary nature can be integrated in research areas from any of the program major domains.

Main NLP research areas associated to Information Science:

• Discourse processing
• Language analysis
• Language understanding
• Speech recognition
• Language generation
• Machine learning
• Question Answering
• Information Retrieval
• Information Extraction

Topics include but are not limited to:

• Natural language processing
• Linguistic, mathematical and psychological models of language
• Computational linguistics
• Machine translation
• Rule-based translation systems
• Statistical machine translation
• Semantic analysis
• Automatic Text Summarization
• Symbolic/linguistic techniques
• Lexical ambiguity resolution
• Speech recognition, synthesis, processing and transmission
• Discourse processing and modeling
• Document analysis
• Knowledge bases
• Natural language query processing
• Question Answering
• Relation extraction
• Text generation
• Human language technologies
• Applications (Information Extraction, Information Retrieval, Question Answering, Text Classification, Machine translation)
• Intelligent tutors

Information visualization techniques are widely used to improve the knowledge about the nature and characteristics of the information under analysis. These techniques are used for the analysis, understanding and explanation of large data collections, networked information systems and heterogeneous tabular data.
InSciT2006 promotes the submission of papers describing experiencies where IV techniques are used jointly with some others inlcuded in the major program topics.

• Visual information systems
• Information visualization environments (1D, 2D, 3D, multi-D, tree, network, temporal, workspace)
• Information Visualization Interfaces for Retrieval and Analysis
• Benchmarking
• 2D and 3D graphical visual data retrieval
• Relevance feedback approaches
• Image and video databases
• Visual data modeling
• Visual data-mining
• Visual information system architectures
• Visual query browsers
• Feature (invariant) retrieval
• Picture representation languages
• Query models and languages
• Optimization of pictorial queries
• Gestural queries and visual queries
• Compression and image content
• Visualizing pictorial and non-pictorial information
• Hypermedia of picture and text
• Image crawling on the web
• Picture book browsing
• Delivery of visual information
• Fusion of pictorial and non-pictorial information
• Visual information handling in e-learning
• Application areas of visual information systems
• Interactive segmentation

Social Network Analysis is the interdisciplinary area dealing with study of the structure of human relationships and associations which can be showed as a network. It also focused on the discovering of interaction patterns among people, organizations, institutions and generally any organization system. InSciT2006 encourage the presentation of high quality papers linking theses studies of individual and organizational relationships and behaviours to the stakeholders of information access, transmission, dissemination and communication processes, specially those dealing with scientific, technological and/or digital information.

• Social Network Analysis
• Social Networks in organizacional contexts
• Academic Networks
• Citation or Collaboration Networks
• Network visualization
• Cognitive Networks
• Network indicators (centrality, Centralization, Betweenness, Closeness)
• Network generation and Multiple Atributes.
• Multiple Networks
• Communitites of Practices
• Personal Networks
• Knowledge Networks
• Network Structures
• Network Analysis of Text
• Databases and Social Networks
• Software applications

In the last several years, researchers and practitioners of databases, information sciences and technologies and the internet have reached outstanding advances in finding improvements to information systems in a wide range of domain applications. Typical boundaries between databases and information retrieval are bluring in semi-structured or tagged information objects. Furthermore, research communities from databases domains are more and more interested in data semantics.
InSciT2006 encourages the submission of papers whose thematic is located on these boundaries among databases and any other topics of the conference.

• Data Models and Database Design
• Deductive and Object-Oriented Databases
• Query Languages and Database Algorithms
• XML Indexing, Query Processing, and Web-based Databases
• Distributed and Multidimensional Databases
• Mobile, Distributed, Spatial, and Temporal Databases
• Multimedia Database Systems
• Deductive and Object-Oriented Databases
• Constraint Databases
• Impreciness and Uncertainty in Databases
• Software Engineering
• Data Warehousing and Warehouse DBMS