NDLI: Using social data as context for making recommendations: an ontology based approach

Please wait, while we are loading the content...

Covering the semantic space of tourism: an approach based on modularized ontologies

Context management in mobile environments: a semantic approach

Using task context to achieve effective information delivery

Context shifting for effective search over large knowledge bases

Interacting with (semi-) automatically extracted context of digital objects

Semantic representation of context models: a framework for analyzing and understanding

Using social data as context for making recommendations: an ontology based approach

UICO: an ontology-based user interaction context model for automatic task detection on the computer desktop

Ontonym: a collection of upper ontologies for developing pervasive systems

Using social data as context for making recommendations: an ontology based approach

Content Provider	ACM Digital Library
Author	Noor, Salma Martinez, Kirk
Abstract	Web-based knowledge systems support an impressive and growing amount of information. Among the difficulties faced by these systems is the problem of overwhelming the user with a vast amount of data, often referred to as information overload. The problem has escalated with the ever increasing issues of time constraints and the extensive use of handheld devices. The use of context is one possible way out helping with this situation. To provide a more robust approach to context gathering we propose the use of Social Web technologies alongside the Semantic Web. As the social web is heavily used it could provide a better understanding of a user's interests and intentions. The proposed system gathers information about users from their social web identities and enriches it with ontological knowledge. Thus an interest model for the user can be created which can serve as a good source of contextual knowledge. This work bridges the gap between the user and system searches by analyzing the virtual existence of a user and making interesting recommendations accordingly.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781605585284
DOI	10.1145/1552262.1552269
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-06-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Context Semantic web Web 2.0 Linked data Ontologies Tagging Cultural heritage User interest modeling Recommender systems
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in