A Semantic Search Algorithm for Peer-to-Peer Open Hypermedia Systems
A Semantic Search Algorithm for Peer-to-Peer Open Hypermedia Systems
We consider a collaborative application scenario in Open Hypermedia Systems. We describe a semantic search algorithm to discover semantically equivalent or related resources across distributed link databases, otherwise known as linkbases. Our approach differs from traditional crawler based search mechanisms because it relies on clustering of semantically related entities. It creates clusters of related semantic entities to expedite the search for resources in a random network. It uses a distance-vector based heuristic to guide the search. Our results confirm that the algorithm yields high search efficiency in collaborative environments where the change in content published by each participant is rapid and random.
open hypermedia, peer-to-peer, search mechanism, simulation
43-54
Zhou, J
0260c404-9f19-40d6-b577-e241dd0c1ab9
Dialani, V
b3a67fa7-6383-4490-851a-90e41f089f7c
De Roure, D
02879140-3508-4db9-a7f4-d114421375da
Hall, W
11f7f8db-854c-4481-b1ae-721a51d8790c
2003
Zhou, J
0260c404-9f19-40d6-b577-e241dd0c1ab9
Dialani, V
b3a67fa7-6383-4490-851a-90e41f089f7c
De Roure, D
02879140-3508-4db9-a7f4-d114421375da
Hall, W
11f7f8db-854c-4481-b1ae-721a51d8790c
Zhou, J, Dialani, V, De Roure, D and Hall, W
(2003)
A Semantic Search Algorithm for Peer-to-Peer Open Hypermedia Systems.
The First Workshop on Semantics in Peer-to-Peer and Grid Computing, Budapest, Hungary.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
We consider a collaborative application scenario in Open Hypermedia Systems. We describe a semantic search algorithm to discover semantically equivalent or related resources across distributed link databases, otherwise known as linkbases. Our approach differs from traditional crawler based search mechanisms because it relies on clustering of semantically related entities. It creates clusters of related semantic entities to expedite the search for resources in a random network. It uses a distance-vector based heuristic to guide the search. Our results confirm that the algorithm yields high search efficiency in collaborative environments where the change in content published by each participant is rapid and random.
More information
Published date: 2003
Additional Information:
Event Dates: 20 May, 2003
Venue - Dates:
The First Workshop on Semantics in Peer-to-Peer and Grid Computing, Budapest, Hungary, 2003-05-20
Keywords:
open hypermedia, peer-to-peer, search mechanism, simulation
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 259410
URI: http://eprints.soton.ac.uk/id/eprint/259410
PURE UUID: c7bd011a-4fcc-440e-b1b4-fd16aec0b6d3
Catalogue record
Date deposited: 04 Jun 2004
Last modified: 18 Mar 2024 02:31
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Contributors
Author:
J Zhou
Author:
V Dialani
Author:
D De Roure
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