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Combining Ontology Queries with Text Search in Service Discovery

Knarig Arabshian; Henning G. Schulzrinne

Title:
Combining Ontology Queries with Text Search in Service Discovery
Author(s):
Arabshian, Knarig
Schulzrinne, Henning G.
Date:
Type:
Technical reports
Department:
Computer Science
Permanent URL:
Series:
Columbia University Computer Science Technical Reports
Part Number:
CUCS-006-07
Publisher:
Department of Computer Science, Columbia University
Publisher Location:
New York
Abstract:
We present a querying mechanism for service discovery which combines ontology queries with text search. The underlying service discovery architecture used is GloServ. GloServ uses the Web Ontology Language (OWL) to classify services in an ontology and map knowledge obtained by the ontology onto a hierarchical peer-to-peer network. Initially, an ontology-based first order predicate logic query is issued in order to route the query to the appropriate server and to obtain exact and related service data. Text search further enhances querying by allowing services to be described not only with ontology attributes, but with plain text so that users can query for them using key words. Currently, querying is limited to either simple attribute-value pair searches, ontology queries or text search. Combining ontology queries with text search enhances current service discovery mechanisms.
Subject(s):
Computer science
Information science
Item views:
108
Metadata:
text | xml

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