# Presentation: 542908

## Information and Data Management (IDM)

**Program Officers:**
** **
- Maria Zemankova
- 703-292-8930  		mzemanko@nsf.gov
*Regular, CAREER, RUI/ROA, SGER and workshop proposals/award, and REU/RET*
- Bhavani Thuraisingham
- 703-292-8930		bthurais@nsf.gov
*Information Technology Research (ITR) and other initiatives proposals/awards (e.g., Sensors)*
**IDM’s Aim:**
- Build a "new generation" of distributed, interoperable, reliable, multi-media, intelligent, dynamic, evolvable information systems capable of sophisticated and efficient data, information and knowledge management.

## Information and Data Management Program 

**Supported Research:**
- Basic research in novel databases, knowledge-based systems and information retrieval systems, and a wide scope of related areas, ranging from artificial intelligence methodologies to new user interfaces for information access, to techniques that exploit hardware and communications technologies.
**Interrelated areas**:
-  data, information, knowledge and process modeling
-  information access and interaction
-  knowledge discovery and management
-  system architecture and implementation
-  special issues pertaining to the Web and multimedia information systems

## Data, Information, and Knowledge Modeling 

- _Goal_: New, more expressive models of data, information, and knowledge.
- _Research_: Complex/novel data types, e.g., pictorial, multimedia, multidimensional, sequences, streams, temporal, spatial, geographic, graphs, links, structures, or sensor data; special-purpose scientific and engineering databases, including metadata representation; full-text systems; constraint-based systems; active systems; event, process and enterprise modeling; warehouses, information and knowledge workflows; and knowledge-based systems. Issues considered include information systems evolution, integrity and validation, and management of uncertainty arising from imprecision in data or knowledge.
_*Nugget*_*: *
*Geogrids and Next Generation Geospatial Information Systems*

## Information Access and Interaction

- _Goal:_ More intelligent, efficient, and usable information access methods.
- _Research:_ Browsing and navigation; information integration; user-centered information retrieval and dissemination; user modeling; visualization and natural-language interfaces for information retrieval and database systems; evaluation of interfaces for information access; information architecture, design, and organization; query language design; enhanced query processing; knowledge-based query optimization; resolution of incompleteness and inconsistency in heterogeneous systems; the use of linguistic resources and techniques for information access including word sense disambiguation, text categorization, discourse analysis, question-answering, and summarization; dialog management; information source discovery and information fusion; cross-lingual information retrieval, collaborative filtering/recommender systems.
_*Nugget:*_
*COPLINK: An Intelligent Workbench for Information Analysis and Visualization*

## Knowledge Discovery and Management

- _Goal:_ Building and assessment of tools for making sense of and discovering new information from large collections of information.
- _Research_: Automated and user-aided data analysis tools; algorithms for information and knowledge discovery, including clustering, information visualization techniques and evaluation; text data mining; discovering structures/relationships in semi- or unstructured data; data cleaning and warehousing; unification of data mining with queries and search; database architectures for data mining; distributed architectures for data mining; privacy issues; human interaction and the knowledge discovery process, interactive exploration, interfaces for exploratory data analysis; visualization of large, high-dimensional datasets, cognitive foundations and evaluation of visualization systems; evaluation of discovery algorithms, validation and re-use of data mining results.
_*Nuggets:*_* *
*Graph-Based Data Mining*
*Finding Patterns in Network Data*

## System Architecture and Implementation

**System Architecture and Implementation**
- _Goal_: Building high performance systems.
- _Research:_  Algorithms, reliable storage, access, and manipulation of actual data, ranging from petabyte data warehouses to personal wearable information appliances by developing methodologies for specification, implementation, verification, optimization, maintenance and management of information systems.
_*Nugget:*_
*“**Smart Dust” Information Management: Intrastructureless Environment*
*Novel Architectures for Database Management*

## Web and Multimedia Information Systems

**Web and Multimedia Information Systems**
- _Goal_: Unification of methods for structured, semi-structured and unstructured data and provide a “plug and play” environment for ubiquitous access to a rich variety on information.
- _Research_: Web and multimedia areas are interwoven throughout the IDM topics.
- _Web_: web site design methods and evaluation; semantic web; ontologies; web searching; hyperlink analysis and web graph structure; personalization of web search and structure; web persistence; wireless and peer-to-peer web; web-based databases and web services.
- _Multimedia_: content-based image, video, and audio access and retrieval; cross-media and mixed-media retrieval and indexing; multimedia database architectures and query optimization.
_*Nuggets:*_
*Data Mining of Digital Behavior*
*Peer-to-Peer Data Management*

## Knowledge, Information and Data Management

**Information and Data Management – future**
**Knowledge, Information and Data Management**
** **
- _Emphasis_:
** **
- Intelligent design methodology:
- no more “legacy” systems (get rid of problems with un-interoperability)
- 	vs.
- only “legacy” systems (reliably preserve our knowledge heritage)
- no more “seat-of-the-pants” systems
- 	vs.
- “holistic” systems
- (e.g., security vs./and privacy, speed vs./and intelligence,
- wireless vs./and persistence, ...)
- Cognitive Science principles:
- 	User-oriented, task/goal-sensitive, interaction-supporting systems
- Interdisciplinary collaboration:
- 	no more “square wheels” -- learn, adopt, extend

**IDM: Present and Future**
- IDM PIs Workshop, Seattle, WA
- Sept. 14 – 16, 2003
- _http://www2.cs.washington.edu/nsf2003_
*“****Information Retrieval and Databases: Synergies and Syntheses****”*
*Discussion Groups:*
- Context-Based Information AccessInformation IntegrationMedical Informatics
- Model ManagementPersonal Information ManagementTrust, Privacy, and Security