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Journal ArticleDOI

Intelligent Information Retrieval: An Introduction.

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TLDR
Researchers are exploring the application of artificial intelligence techniques to information retrieval with the goal of providing intelligent access to online information, and systems incorporating user modeling, natural language understanding, and expert systems technology are presented.
Abstract
Researchers are exploring the application of artificial intelligence techniques to information retrieval with the goal of providing intelligent access to online information This article surveys several such systems to show what is possible in the lab today, and what may be possible in the lab today, and what may be possible in the library or office of tomorrow Systems incorporating user modeling, natural language understanding, and expert sytems technology are presented

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Citations
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Journal ArticleDOI

The Basis for Using the Internet to Support the Information Needs of Primary Care

TL;DR: This review assesses the basis for employing the Internet to support the information needs of primary care and the role that existing terminology mapping systems may play in representing and linking information needs to answers.
Journal ArticleDOI

An expert system for automatic query reformation

TL;DR: An expert system for online search assistance automatically reformulates queries to improve the search results, and ranks the retrieved passages to speed the identification of relevant information.
Journal ArticleDOI

Automatic query expansion via lexical-semantic relationships

TL;DR: An experiment that examined whether thesaurus terms, related to query in a specified semantic way, could be identified as having a more positive impact on retrieval effectiveness when added to a query through automatic QE found thatautomatic QE via SYNs and NTs increased relative recall with a decline in precision that was not statistically significant.
Journal ArticleDOI

Intelligent information agents: review and challenges for distributed information sources

TL;DR: An overview of intelligent software agents in information retrieval is presented, including an explanation of agents and agent architectures, and several agent systems are presented.

Middleware for context sensitive mobile applications

TL;DR: The concept of active preferences that represent a combination of user preference information and choices combined with spatial or temporal information that set the policy on how a mobile application should customise its behaviour not just for a particular user but as that user moves to different locations and interacts with other mobile users or with fixed location base stations is introduced.
References
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Book ChapterDOI

A framework for representing knowledge

Marvin Minsky
TL;DR: The enormous problem of the volume of background common sense knowledge required to understand even very simple natural language texts is discussed and it is suggested that networks of frames are a reasonable approach to represent such knowledge.

A framework for representing knowledge

Marvin Minsky
TL;DR: The authors describes frame systems as a formalism for representing knowledge and then concentrates on the issue of what the content of knowledge should be in specific domains, arguing that vision should be viewed symbolically with an emphasis on forming expectations and then using details to fill in slots in those expectations.
Journal ArticleDOI

SCISOR: extracting information from on-line news

TL;DR: The future of natural language text processing is examined in the SCISOR prototype, drawing on artificial intelligence techniques, and applying them to financial news items through a combination of bottom-up and top-down processing.
Journal ArticleDOI

I 3 R: a new approach to the design of document retrieval systems

TL;DR: A system that provides a number of FACILITIES and SEARCH STRATEGIES based on an EMPHASIS on domain knowledge used for refining the model of the information need, and the provision of a blowing mechanism that allows the user to NAVIGATE through the knowledge base.
Journal ArticleDOI

The user's mental model of an information retrieval system: an experiment on a prototype online catalog

TL;DR: The research was based on the mental models theory which proposes that people can be trained to develop a “mental model” or a qualitative simulation of a system which will aid in generating methods for interacting with the system, debugging errors, and keeping track of one's place in the system.
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