Intelligent Information Access by Learning WordNet-Based User Profiles

2005 ◽  
pp. 78-81
Author(s):  
M. Degemmis ◽  
P. Lops ◽  
G. Semeraro
Keyword(s):  
Information Access ◽  
User Profiles ◽  
Intelligent Information

User profiling in personal information agents: a survey

2005 ◽  
Vol 20 (4) ◽  
pp. 329-361 ◽  
Author(s):  
DANIELA GODOY ◽  
ANALIA AMANDI
Keyword(s):  
State Of The Art ◽  
Personal Information ◽  
Relevant Information ◽  
User Profiling ◽  
The Internet ◽  
User Profiles ◽  
Amount Of Information ◽  
Information Agents ◽  
Personal Agents ◽  
Intelligent Information

Personal information agents have emerged in the last decade to help users to cope with the increasing amount of information available on the Internet. These agents are intelligent assistants that perform several information-related tasks such as finding, filtering and monitoring relevant information on behalf of users or communities of users. In order to provide personalized assistance, personal agents rely on representations of user information interests and preferences contained in user profiles. In this paper, we present a summary of the state-of-the-art in user profiling in the context of intelligent information agents. Existing approaches and lines of research in the main dimensions of user profiling, such as acquisition, learning, adaptation and evaluation, are discussed.

Entity linking for tweets

2017 ◽  
Vol 01 (01) ◽  
pp. 1630020 ◽  
Author(s):  
Pierpaolo Basile ◽  
Annalina Caputo
Keyword(s):  
Information Access ◽  
Text Messages ◽  
Automatic Annotation ◽  
Entity Linking ◽  
Huge Amount ◽  
Named Entity ◽  
New Challenges ◽  
Intelligent Information ◽  
Machine Readable ◽  
Noisy Text

Named Entity Linking (NEL) is the task of semantically annotating entity mentions in a portion of text with links to a knowledge base. The automatic annotation, which requires the recognition and disambiguation of the entity mention, usually exploits contextual clues like the context of usage and the coherence with respect to other entities. In Twitter, the limits of 140 characters originates very short and noisy text messages that pose new challenges to the entity linking task. We propose an overview of NEL methods focusing on approaches specifically developed to deal with short messages, like tweets. NEL is a fundamental task for the extraction and annotation of concepts in tweets, which is necessary for making the Twitter’s huge amount of interconnected user-generated contents machine readable and enable the intelligent information access.

scholarly journals Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects

2018 ◽  
Vol 112 ◽  
pp. 21-33 ◽  
Author(s):  
Fernando Aparicio ◽  
María Luz Morales-Botello ◽  
Margarita Rubio ◽  
Asunción Hernando ◽  
Rafael Muñoz ◽  
...  
Keyword(s):  
Active Learning ◽  
Information Access ◽  
Learning Activities ◽  
University Level ◽  
Intelligent Information
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