Toward The Semantic Deep Web - Presentation Transcript
What The Problem?
Consider a typical web page
Mark-up consists of: rendering information
Semantic content is accessible to humans but not (easily) to computers …
Machine requires Natural Language understanding
Our Goal
Accessing the deep web by various web technologies
e.g. XML Schema, RDF, OWL
Represent the data in a machine accessible way
Enriching ontologies using this data
The Semantic Web The Semantic Web is an extension of the current web in which information is given well-defined meaning , better enabling computers and people to work in co-operation . [Tim Berners-Lee , 2001]
Accessing semantic deep web
Two main approaches-
Ontology plug-in search
Deep web service annotation
Both approaches require a semantic deep web crawler or bot.
Ontology plug-in search Referent Form Search engine replies refers to evokes Concept “ Jaguar“
Ontology plug-in search
Two processes-
Harvesting concepts or deep web form attribute.
Iteratively link this concepts to build enriched ontology.
This ontology provides- - domain specific terms. - useful relationship and further related information.
Deep web service annotation How to represent data in a machine accessible way?
Semantic data signature represented in computational graph
-XML
-RDF
-RDF Schema
-OWL (Web ontology language)
The Semantic Web Layers Standard Standard Standard
XML
User definable and domain specific markup
<course date= “...” > <title> ... </title> <teacher> ... </teacher> <name>...</name> <http>...</http> <students> ... </students> </course> File Format Tree Structure
Why not use XML to represent ontologies?
XML makes no commitment on:
Domain specific ontological vocabulary
Conceptual meaning
course teacher title students name http =
RDF(Resource Description Framework)
A mechanism for annotating data and resources
RDF is a graphical formalism
-for representing metadata about Web resource
-for describing the semantics of information in a machine- accessible way
RDF(S): RDF Schema
Defines vocabulary for RDF
Organizes this basic vocabulary terms and the relations between those terms
-Class, subClassOf, type
-Property, subPropertyOf
-domain, range
Has Supervisor Person subClassOf subClassOf type domain range type
OWL :Web Ontology Language
Ontologies standardize and formalize the meaning of words through concepts
It helps softbots by serving knowledge about synonyms, antonyms, semantic relationship between concept.
Conclusion Ontology helps to find the concepts. Semi-automatic ontology generation from the deep web, quality of ontology measurement(reliability) is challenging. It requires natural language processing.
Reference
Y. Sure and R. Studer. Vision for Semantically-Enabled Knowledge Technologies. Online at: KTweb -- Connecting Knowledge Technologies Communities, 2003.
Search on the semantic web IEEE Computer october 2005.
www.w3.org/TR/owl-features/
. M. Dean and G. Schreiber, OWL Web Ontology Language Reference , Feb. 2004; http://www.w3.org/ TR/2004/REC-owl-ref-20040210/.
T. Berners-Lee, J. Hendler, and O. Lassila, “ The Semantic Web ,” Scientific American , May 2001
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