Toward using bio-ontologies in the Semantic Web: trade-offs between ontology languages

Abstract
Ontology languages for the Semantic Web have their strengths and weaknesses, in particular in the light of deploying them for biological and medical information systems. We survey and compare the Description Logics-based OWL languages, and the DL-Lite and DLR families of languages. Language choices that an ontology developer has to make are, among others, expressivity with n-ary relations (where n > 2) and more role properties versus ontology usage for data-intensive tasks. Guidelines are suggested to facilitate choosing the language best fitted for a task.
Keywords No keywords specified (fix it)
Categories No categories specified
(categorize this paper)
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index Translate to english
 
Download options
PhilPapers Archive


Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 11,018
External links
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
References found in this work BETA

No references found.

Citations of this work BETA

No citations found.

Similar books and articles
Catherine Legg (2007). Ontologies on the Semantic Web. Annual Review of Information Science and Technology 41:407-451.
Adam Wyner (2008). An Ontology in Owl for Legal Case-Based Reasoning. Artificial Intelligence and Law 16 (4):361-387.
Analytics

Monthly downloads

Added to index

2010-12-22

Total downloads

6 ( #203,857 of 1,101,088 )

Recent downloads (6 months)

1 ( #290,992 of 1,101,088 )

How can I increase my downloads?

My notes
Sign in to use this feature


Discussion
Start a new thread
Order:
There  are no threads in this forum
Nothing in this forum yet.