SEMINAR ON
EXPLORATORT SEARCH
Submitted by
SOJA SALIM
In partial fulfillment of requirements of the award of
Master of Technology (MTech)
In
Software Engineering
DEPARTMENT OF COMPUTER SCIENCE
COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
COCHIN682022
Page 2

Seminar Report On
COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
DEPARTMENT OF COMPUTER SCIENCE
COCHIN682022
Certificate
This is to certify that the seminar report entitled Exploratory Search submitted by SojaSalim, in
partial fulfillment of the requirements of the award of MTech Degree in Software Engineering, Cochin
University of Science and Technology, is a bonafide record of the seminar presented by him during the
academic year 20082009.
Dr. Sumam Mary Idicula
Dr. Paulose JacobPage 3

Place: Cochin
Date: 101108
ACKNOWLEDGEMENT
I express my deep sense of gratitude to D.r. K.Poulose Jacob, HOD, Department of Computer
Science, CUSAT, for providing an opportunity to present this seminars.
My profound gratitude to Dr. Sumam Mary Idicula for her valuable guidance and timely support
she offered. I also express my sincere thanks to all other teaching staff especially, Mr.Santhosh
Kumar and all nonteaching staff, for their generous help and guidance. I also express my friendly
gratitude to my batch mates for their kind cooperation and good wishes.
Finally, I thank the Almighty, without whose blessings nothing starts good or ends well.Page 4


ABSTRACT

Online search has become an increasingly important part of every
day lives of common people.We cannot consider web as a knowledge base unless we have
options for searching.Many search engines has evolved as an unavoidable tool for
computer users.But the limitations of these engines has evolved as an unavoidable
tool for computer users.But the limitations of these engines paved the path for research
towards a more advanced and user friendly search method and thus exploratory search
evolved.
Exploratory search is a topic that has grown from the fields of
Information Retrieval and Information seeking ,but has become more and more concerned
with the alternative scenarios of search that have received the majority of focus(returning
the most relevant documents to a Googlelike keyword search).The research is motivated
by questions likewhat if the user does not know which keywords to
use?.Consequently,research has begin to focus on defining the broader set of Information
Behaviors in order to learn about the situations when a user is,or feels,limited by only
having the ability to perform a keyword search.Page 5


TABLE OF CONTENTS

1.Introduction
1.Introduction
2.The Web
2.The Web
3.Search & Information Retrieval
3.Search & Information Retrieval
4.Exploratory search
4.Exploratory search
5.Exploratory Search Methods
5.Exploratory Search Methods
6.HCI
6.HCI
7.Search In Multimedia Domains
7.Search In Multimedia Domains
8.Semantic Web & Exploratory Search
8.Semantic Web & Exploratory Search
9.Exploratory Search Implementation
9.Exploratory Search Implementation
10.Conclusion
10.Conclusion
11.References
11.ReferencesPage 6


INTRODUCTION

Exploratory Search is a specialization of information exploration which
is a specialization of information exploration which
represents activities carried out by searchers who are either:
represents activities carried out by searchers who are either:
a) Unfamiliar with the domain of their goal
a) Unfamiliar with the domain of their goal
b) Unsure about the ways to achieve their goals
b) Unsure about the ways to achieve their goals
c) Or even unsure about their goals in the first
c) Or even unsure about their goals in the first place.
place.

Exploratory Search is a topic that has grown from the fields of Information
nformation
Retrieval
Retrieval and Information seeking ,but has become more and concerned with the
and Information seeking ,but has become more and concerned with the
alternative scenarios of search that have received the majority of focus .The research is
alternative scenarios of search that have received the majority of focus .The research is
motivated by questions likewhat if the user does not know which keyword s to use?or
motivated by questions likewhat if the user does not know which keyword s to use?or
what if the user is not looking for a single answer?.Cosequently ,research has begin to
what if the user is not looking for a single answer?.Cosequently ,research has begin to
focus on defining the broader set of Information behaviors in order to learn about the
focus on defining the broader set of Information behaviors in order to learn about the
situations when a user is,or feels ,limited by only having tha ability to perform a keyword
situations when a user is,or feels ,limited by only having tha ability to perform a keyword
search.
search.

Consequently,Exploratory Search covers a broader class of activities (compared
Consequently,Exploratory Search covers a broader class of activities (compared
to typical Information Retrieval),such as investigating,evaluating,comparing,and
to typical Information Retrieval),such as investigating,evaluating,comparing,and
synthesizing,where new information is sought in a defined conceptual area;generally
synthesizing,where new information is sought in a defined conceptual area;generally
combine querying and browsing strategies to foster learning and investigation.
combine querying and browsing strategies to foster learning and investigation.Page 7


The Web
The World Wide Web is a system of interlinked hypertext documents accessed via the
internet .With a web browser,one can view Web pages that may contain
text,images,videos,and other multimedia and navigate between them using hyperlinks.The
World Wide Web was created in 1989 by English scientist Tim BernersLee,working at the
European Organisation for Nuclear Research (CERN)in Geneva,Switzerland,and
releasedin 1992.
WEB 1.0
The information published on the web in a static manner(HTML).It is like your word
document on the web with pictures and formatting done neatly.Hyperlinking the web
pages and bookmarking were two of the most important aspect of Web 1.0 world.
WEB 2.0

Web 2.0 encapsulates the idea of the proliferation of interconnectivity and
interactivity of webdelivered content. Web 2.0 technology encourages light weight
business models enabled by syndication of content and of service and by erase of picking
up by early adopters.Web 2.0 websites allow usersto do more than just retrieve
information.They can build on the interactive facilities of Web 1.0to provide Network
as platform computing ,allowing users to run softwareapplications entirely througha
browser.Page 8



WEB 3.0


Web 3.0 is one of the terms used to describe the evolutionarystage of the Web that follows Web
2.0.Given that technical and social possibilities identified in this latter term are yet to, be fully
realised the nature of defining Web3.0 is highly speculative.The key assumption of web3.0 is that
every data published in web has data that describes the data ie meta data.
Web 3.0 is proposed to have many automated engines which analyze the meaning of every piece
of information in the web and generate automated documents on the basis of th information
Page 9


SEARCH AND INFORMATION RETRIEVAL

In
formation retieval (IR) is the science of searching for information with documents
and for meta data about documents,as well as that of searching relational databases and the World
Wide Web.There is overlap in the usage of the terms data retrieval,document retrieval,information
retreival,and text retrieval,but each also has its own body of literature ,theory,praxis and
technologies.IR is interdisciplinary, based on computer science,information architecture,cognitive
psychology,linguistics,statics and physics.
Automated information retievalsystems are used to recduce what has been called
information overload.Many universities and public librariesuse IR systems to provide access to
books,journals and other documents.Web search engines are the most visible IR applications.
An information retrieval process begins when a user enters a query in to the system.Queries
are formal statements of information needs,for example search strings in web search engines.In
information Retrieval a query does not uniquely identify a single object in the collection.Instead
,several objects may match the query ,perhaps with different degrees of relevancy.
Page 10

Existing Searching System
Ranking & Indexing
Ranking & Indexing
PageRank is a page link analysis system that assigns a numerical weighting to each
PageRank is a page link analysis system that assigns a numerical weighting to each
element of a hyperlinked set of documents ,such as the World Wide Web ,with the
element of a hyperlinked set of documents ,such as the World Wide Web ,with the
purpose of measuring its relative importance within the set.
purpose of measuring its relative importance within the set.
Search engine indexing collects,parses and stores data to facilitate fast and
Search engine indexing collects,parses and stores data to facilitate fast and
accurate information retrieval.Index design incorporates interdisciplinary concepts
accurate information retrieval.Index design incorporates interdisciplinary concepts
from linguistics ,cognitive psycology ,mathematics,informatics,physics and computer
from linguistics ,cognitive psycology ,mathematics,informatics,physics and computer
science.An alternate name for the process in the context of search engines
science.An alternate name for the process in the context of search engines
designed to find web pages on the internet is Web indexing.
designed to find web pages on the internet is Web indexing.
Keyword Processing
Keyword Processing




On the web, a keyword is a reference to the content and /or the type of
On the web, a keyword is a reference to the content and /or the type of
meta element includedn in a given web page's HTML code to aid in the page's
meta element includedn in a given web page's HTML code to aid in the page's
indexing.The term keyword also refers to the terms or phrases submitted by a user
indexing.The term keyword also refers to the terms or phrases submitted by a user
of a search engine.For example, a search of the phrase keyword search via the
of a search engine.For example, a search of the phrase keyword search via the
Google search engine reveals a set of search engine results that relates to the
Google search engine reveals a set of search engine results that relates to the
specified topic keyword search.
specified topic keyword search.Page 11


LOOH UP

In lookup various machine generated queries are submitted to the data base and
the result is obtained.Various databases operations are performed to retrieve the correct data.

RETURN RESULT


The result from the data base are displayed to the user according to the page
rank along with a short description.
This is the most common and simplest form of existing searching system.Common
search engines like google and yahoo has started using high end technologie sand algorithms and
even introduces artificial intelligence in ranking ,indexing and key word processing.

EXPLORATORY SEARCH

Exploratory Search covers a broader class of activities (compared to typical information
retrieval),such as investigating,evaluating ,comparing and synthesizing,where new information is
sought in a defined conceptual area;exploratory data analysis is another example of an
information exploration activity.Typically,therefore,such users generally combine querying and
browsing strategies to foster learning and investigation.Page 12


Exploratory Search
1.
Learn
2.
Investigate
Learn

Knowledge acquisition
Comprehend/interpret
Compare
Aggregate/Integrate
Socialize
Investigation


Accrete
Analysis
Exclude
Synthesis
Evaluation
Discovery
Plan/Forecast
TransformPage 13

Exploratory Search Motivations
Exploratory Search Motivations
1.Limitations Of Existing System
1.Limitations Of Existing System
2.Increasing Size Of Documented Information
2.Increasing Size Of Documented Information
3.More Users in Search Of Information
3.More Users in Search Of Information
Scenarios
?
1.Users' knowledge about the data searched for is
1.Users' knowledge about the data searched for is incomplete
incomplete
?
2.Users' tasks are vaguely specified
2.Users' tasks are vaguely specified
?
3.Indexes donâ„¢t match users' search request
3.Indexes donâ„¢t match users' search request

The research is motivated by questions like what if the user does not know which
keywords to use ?or what if the user is not looking for a single answer?.
Cosequently,research has begin to focus on defining the broader set of Information Behaviors
in order to learn about the situations when a user is,or feels,limited by only having the ability to
perform a keyword search.Page 14


Exploratory Search Methods
Iterative Method
Iterative Method




In this method the search query will be refined in each iteration .Every
In this method the search query will be refined in each iteration .Every
iteration reduces the size of the search domain.The method is time consuming.
iteration reduces the size of the search domain.The method is time consuming.
Query By Examples
Query By Examples


Query By Examples(QBE) is a database query language for relational
Query By Examples(QBE) is a database query language for relational
databases.It is the first graphical query language,using visual tables where the user
databases.It is the first graphical query language,using visual tables where the user
would enter commands ,example elements and conditions.Many graphical front
would enter commands ,example elements and conditions.Many graphical front
ends for databases use the ideas from QBE today.
ends for databases use the ideas from QBE today.
Keyword Refining Through Feedbacks
Keyword Refining Through Feedbacks


Inaccurate or ambigous expressions in queries lead tro poor results in
Inaccurate or ambigous expressions in queries lead tro poor results in
information retrieval.It is assumed that iterative user feedback can improve the
information retrieval.It is assumed that iterative user feedback can improve the
quality of queries.This is done by a graphical user interface that returns categories
quality of queries.This is done by a graphical user interface that returns categories
of results and requires the user to choose between them in order to improve the
of results and requires the user to choose between them in order to improve the
initial query in terms of accuracy and unambiguousness.
initial query in terms of accuracy and unambiguousness.
Exploratory Search Tools
Exploratory Search Tools


The main aspects of exploratory tool are the searching methods and the user
The main aspects of exploratory tool are the searching methods and the user
interfaces.UI has a vital role in exploratory tools.It is the UI that determines the
interfaces.UI has a vital role in exploratory tools.It is the UI that determines the Page 15

human interaction with the system.Because of the importance
human interaction with the system.Because of the importance of human interaction
with the system a branch of study called Human Computer Interaction(HCI) was
introduced.

HCI
Human Computer Interaction is the study of interaction between
Human Computer Interaction is the study of interaction between
people(users) and computers .It is often regarded as the intersection of computer
people(users) and computers .It is often regarded as the intersection of computer
science,behavioralsciences,designand several other fields of study.Interaction
science,behavioralsciences,designand several other fields of study.Interaction
between users and computers occurs at the user interface,which includes both
between users and computers occurs at the user interface,which includes both
software and hardware.
software and hardware.
Because humancomputer interaction studies a human and a machine in
Because humancomputer interaction studies a human and a machine in
conjunction,it draws from supporting knowledge on both the machine and the
conjunction,it draws from supporting knowledge on both the machine and the
human side .On the machine side,techniques in computer graphics,operating
human side .On the machine side,techniques in computer graphics,operating
systems,programming languages,and development environments are relevant .On
systems,programming languages,and development environments are relevant .On
the human side,communication theory ,graphics and industrial design methods
the human side,communication theory ,graphics and industrial design methods
,linguistics,social scienceand human performance are relevant.Engineering and
,linguistics,social scienceand human performance are relevant.Engineering and
design methods are also relevant .HCI is also sometimes referred to as man
design methods are also relevant .HCI is also sometimes referred to as man
machine interaction(MMI)or computerhuman interaction (CHI).
machine interaction(MMI)or computerhuman interaction (CHI).



HCI differs with human factors in that there is more of a focus on users
HCI differs with human factors in that there is more of a focus on users
working with computers rather than other kinds of machines or designed artifacts,
working with computers rather than other kinds of machines or designed artifacts,
and an additional focus on how to implement the (software and
and an additional focus on how to implement the (software and
hardware)mechanisms behind computers to support humancomputer
hardware)mechanisms behind computers to support humancomputer
interation.HCI also differs with ergonomics in that there is less of a focuss on
interation.HCI also differs with ergonomics in that there is less of a focuss on
repetitive work oriented tasks and procedures ,and much less emphasis on physical
repetitive work oriented tasks and procedures ,and much less emphasis on physicalPage 16

stress and the physical form form or industrial design of physical aspects of the
stress and the physical form form or industrial design of physical aspects of the
user interface ,such as the physical form of keyboards and mice.
user interface ,such as the physical form of keyboards and mice.


HCI & Exploratory Search

The HCI for a good exploratory search system should be User friendly ,Understandable and
interactive to the users .It should have the following features.
? Highly Intetractive Interfaces

? Multiple Ways Of Result Displays
? Dynamic configurable Interfaces
? Multimedia Support
Page 17




RIA
RIA


Rich Internet applications are web applications that have the features and functionally of
Rich Internet applications are web applications that have the features and functionally of
traditional desktop applications .RIAs typically form a stateful client application with a
traditional desktop applications .RIAs typically form a stateful client application with a
separate services layer on the backend.
separate services layer on the backend.
Traditional web applications centered all activity around a clientserver
Traditional web applications centered all activity around a clientserver
architecture with a thin client .Under this system,all processing is done on the server
architecture with a thin client .Under this system,all processing is done on the server
,and the client is only used to display static (in this case HTML) content.The biggest
,and the client is only used to display static (in this case HTML) content.The biggest
drawback with this system is that all interaction with the application must pass through
drawback with this system is that all interaction with the application must pass through
the server to respond ,and the page to be reloaded on the client with the response.By
the server to respond ,and the page to be reloaded on the client with the response.By
using a client side technology which can execute instructions on the clientâ„¢s
using a client side technology which can execute instructions on the clientâ„¢s
computer,RIAâ„¢s can circumvent this slow and synchronous loop for many user
computer,RIAâ„¢s can circumvent this slow and synchronous loop for many user
interactions. This difference is somewhat analogous to the difference between terminal
interactions. This difference is somewhat analogous to the difference between terminal
and mainframe and clientserver/fat client approaches.
and mainframe and clientserver/fat client approaches.
Internet standards have evolved slowly and continually over time to accommodate
Internet standards have evolved slowly and continually over time to accommodate
these techniques, so it is hard to draw a strict line between what constitutes an RIA and
these techniques, so it is hard to draw a strict line between what constitutes an RIA and
what does not .But all RIAâ„¢s share one characteristic: they introduce an intermediate
what does not .But all RIAâ„¢s share one characteristic: they introduce an intermediate
layer of code, often called a client engine ,between the user and the server. This client
layer of code, often called a client engine ,between the user and the server. This client
engine is usually downloaded as part of the instantiation of the application ,and may be
engine is usually downloaded as part of the instantiation of the application ,and may be
supplemented by further code downloads as use of the application progresses .The
supplemented by further code downloads as use of the application progresses .The
client engine acts as an extension of the browser ,and usually takes over responsibility
client engine acts as an extension of the browser ,and usually takes over responsibility
for rendering the applicationâ„¢s user interface and for server communication
for rendering the applicationâ„¢s user interface and for server communicationPage 18



RELATIONAL BROWSER
RELATIONAL BROWSER
Relational Browser++(RB++), also known as RAVE, is an alternative browsing
Relational Browser++(RB++), also known as RAVE, is an alternative browsing
tool originally developed for Federal Statistical agencies with support from the NSF
tool originally developed for Federal Statistical agencies with support from the NSF
Digital Government program and Bureau of Labour Statisties(BLS).The Relation
Digital Government program and Bureau of Labour Statisties(BLS).The Relation
Browser concept grew out of the need to provide an alternative to the sitemap and
Browser concept grew out of the need to provide an alternative to the sitemap and
searching mechanisms on the Fed stats website The Relation Browser allows site
searching mechanisms on the Fed stats website The Relation Browser allows site
visitors to preview the kinds of information available at various federal web sites that
visitors to preview the kinds of information available at various federal web sites that
contain statistical capabilities .Refer to the history page to learn more about how
contain statistical capabilities .Refer to the history page to learn more about how
this tool and its interface have evolved.
this tool and its interface have evolved.
The RAVE user interface makes heavy use of mouse overs to
The RAVE user interface makes heavy use of mouse overs to
create a more dynamic and informative interface than is possible through most
create a more dynamic and informative interface than is possible through most
other kinds of interfaces.The interface has progressed through several design
other kinds of interfaces.The interface has progressed through several design
iterations including several usability studies and a full field test.
iterations including several usability studies and a full field test.Page 19


SEARCH IN MULTIMEDIA DOMAINS
SEARCH IN MULTIMEDIA DOMAINS

Searching Non Textual Content
Searching Non Textual Content
Searching Textual Documents of NonTextual Content
Searching Textual Documents of NonTextual Content
Conceptualization Of Information
Conceptualization Of Information
The Preview Model
The Preview Model
Exploratory Search Implementations
Exploratory Search Implementations
? Evolution Of Existing Search to Exploratory Search
Evolution Of Existing Search to Exploratory Search
? Modern Exploratory Search Tools
Modern Exploratory Search Tools
? Evolution Of Semantic Web
Evolution Of Semantic Web
Semantic Web
Semantic Web
The semantic Web is an evolving extension of the World Wide Webin which the
The semantic Web is an evolving extension of the World Wide Webin which the
semantics of information and services on the web is defined,making it possible for
semantics of information and services on the web is defined,making it possible for
the web to understand and satisfy the requests of people and machines to use the
the web to understand and satisfy the requests of people and machines to use the
web content. It derives from World Wide Web Consortium director Sir Tim Berners
web content. It derives from World Wide Web Consortium director Sir Tim Berners
Leeâ„¢s vision of the Web as a universal medium for data,information ,and knowledge
Leeâ„¢s vision of the Web as a universal medium for data,information ,and knowledge
exchange.
exchange.

As it core ,the semantic web comprises a set of design principles,collaborative
As it core ,the semantic web comprises a set of design principles,collaborative
working groups,and a variety of enabling technologis .Some elements of the
working groups,and a variety of enabling technologis .Some elements of the Page 20

semantic web are expressed as prospective future possibilities that are yet to be
semantic web are expressed as prospective future possibilities that are yet to be
implemented or realized .Other elements of the semantic web are expressed in
implemented or realized .Other elements of the semantic web are expressed in
formal specifications. Some of these include Exploratory search.
formal specifications. Some of these include Exploratory search.
Research Description Framework (RDF), A variety of data interchange formats (e.g.
Research Description Framework (RDF), A variety of data interchange formats (e.g.
RDF/XML,N3,Turtle,NTriples), and notations such as RDF schema (RDFS) and the
RDF/XML,N3,Turtle,NTriples), and notations such as RDF schema (RDFS) and the
Web Ontology Language (OWL), all of which are intented to provide a formal
Web Ontology Language (OWL), all of which are intented to provide a formal
description of concepts, terms, and relationships within a given knowledge domain.
description of concepts, terms, and relationships within a given knowledge domain.


Information organizing Strategies
Information organizing Strategies
?
Hierarchical Classification
Hierarchical Classification
?
Faceted Categorization
Faceted Categorization
A faceted classification system allows the assignment of multiple
A faceted classification system allows the assignment of multiple
classifications to an object, enabling the classifications to be ordered in multiple
classifications to an object, enabling the classifications to be ordered in multiple
ways, rather than in a single, predetermined, taxonomic order. A facet comprises
ways, rather than in a single, predetermined, taxonomic order. A facet comprises
clearly defined, mutually exclusive, and collectively exhaustive aspects, properties
clearly defined, mutually exclusive, and collectively exhaustive aspects, properties
or charecteristics of a class or specific subject.
or charecteristics of a class or specific subject.
Faceted classification is used in faceted search systems that enable a user to
Faceted classification is used in faceted search systems that enable a user to
navigate information along multiple paths corresponding to different orderings of the
navigate information along multiple paths corresponding to different orderings of the
facets. This contrasts with traditional taxonomies in which the hierarchy of
facets. This contrasts with traditional taxonomies in which the hierarchy of
categories is fixed and unchanging.
categories is fixed and unchanging.
Clustering
Clustering
Clustering is the classification of objects into different groups, or more
Clustering is the classification of objects into different groups, or more
precisely, the partitioning of data set into subsets (clusters), so that the data in
precisely, the partitioning of data set into subsets (clusters), so that the data in
each subset (ideally) share some common trait “ often proximity according to some
each subset (ideally) share some common trait “ often proximity according to some
defined distance measure. Data clustering is a common technique for statistical
defined distance measure. Data clustering is a common technique for statistical
data analysis, which is used in many fields, including machine learning, data
data analysis, which is used in many fields, including machine learning, data Page 21

mining, pattern recognition, image analysis and bioinformatics. The computational
mining, pattern recognition, image analysis and bioinformatics. The computational
task of classifying the data set into k clusters is often referred to as Kclustering.
task of classifying the data set into k clusters is often referred to as Kclustering.
Visualisation
Visualisation
Visualisation is a branch of graphic visualisation in computer
Visualisation is a branch of graphic visualisation in computer
science that involves studying how humans interact with computers to create
science that involves studying how humans interact with computers to create
graphic illustrations of information and how this process can be made more
graphic illustrations of information and how this process can be made more
efficient.
efficient.
For a visualisation to be considered interactive it must satisfy two criteria:
For a visualisation to be considered interactive it must satisfy two criteria:
?
? Human input:
Human input: control of some aspect of the visual representation of information,
control of some aspect of the visual representation of information,
or of the information being represented, must be available to a human ,and
or of the information being represented, must be available to a human ,and
?
? Response time:
Response time: changes made by the human must be incorporated in to the
changes made by the human must be incorporated in to the
visualization in a timely manner. In general, interactive visualization is considered a
visualization in a timely manner. In general, interactive visualization is considered a
soft realtime task.
soft realtime task.
SOCIAL TAGGING
SOCIAL TAGGING
Folksonomy (also known as collaborative tagging, social classification,
Folksonomy (also known as collaborative tagging, social classification,
social indexing, and social tagging) is the practice and method of collaboratively
social indexing, and social tagging) is the practice and method of collaboratively
creating and managing tags to annotate and categorize content.
creating and managing tags to annotate and categorize content.
Folksonomy describes the bottom up classification systems that emerge from social
Folksonomy describes the bottom up classification systems that emerge from social
tagging. In contrast to traditional subject indexing, Meta data is generated not only
tagging. In contrast to traditional subject indexing, Meta data is generated not only
by expertsbut also by creators and consumers of the content. Usually, freely chosen
by expertsbut also by creators and consumers of the content. Usually, freely chosen
keywords are used instead of a controlled vocabulary.Folksonomy is a user
keywords are used instead of a controlled vocabulary.Folksonomy is a user
generated taxonomy.
generated taxonomy.Page 22




MSpace
MSpace
The Mspace explorer is an application to help people and explore information
The Mspace explorer is an application to help people and explore information
Mspace explorer is the first Mspace project to let people sling mSpacesacross
Mspace explorer is the first Mspace project to let people sling mSpacesacross
webbased information domains. All the slicing , sorting swapping and previews
webbased information domains. All the slicing , sorting swapping and previews
attributes available in the mspace Explorer demonstrator are available in the
attributes available in the mspace Explorer demonstrator are available in the
software frame work.
software frame work.
The software frame work is currently tad geeky.We are working on
The software frame work is currently tad geeky.We are working on
several tools to help anyone sling an mspace over information, or to let anyone
several tools to help anyone sling an mspace over information, or to let anyone
contribute information directly to an mspace.
contribute information directly to an mspace.



Page 23





CITIDEL
CITIDEL
CITIDEL is
CITIDEL is
being
being

developed to bring learning resources related to computing in to
developed to bring learning resources related to computing in to
one archive and search centre. We will demonstrate the current status of
one archive and search centre. We will demonstrate the current status of
development of CITIDEL, both in terms of collections accessible and of technical
development of CITIDEL, both in terms of collections accessible and of technical
developments for data provision and harvesting. The CITIDEL development team
developments for data provision and harvesting. The CITIDEL development team
includes people from Virginia Tech (the lead institution),Hofstra University ,Penn
includes people from Virginia Tech (the lead institution),Hofstra University ,Penn
State University, The College of New Jersey ,and Villanova University .CITIDEL is
State University, The College of New Jersey ,and Villanova University .CITIDEL is
part of the collections Track activities in the U.S.National
part of the collections Track activities in the U.S.National
STEM(Science,Technology,Engineering,and Mathematics)education Digital Library
STEM(Science,Technology,Engineering,and Mathematics)education Digital Library
(NSDL,nsdl.nsf.gov).Our focus includes technical development ,content
(NSDL,nsdl.nsf.gov).Our focus includes technical development ,content
collection, search engine technology ,assessment ,and community
collection, search engine technology ,assessment ,and community
development.Topics presented include metadata harvesting of collections, tailored
development.Topics presented include metadata harvesting of collections, tailored
search capabilities, and a demonstration of the frontend access to the educational
search capabilities, and a demonstration of the frontend access to the educational
resources related to computing and information technology. Conference attendees
resources related to computing and information technology. Conference attendees
interested in having their work accessible through CITIDEL will have the opportunity
interested in having their work accessible through CITIDEL will have the opportunity
to talk with a project representative during the demonstration time.Avenues of
to talk with a project representative during the demonstration time.Avenues of
dissemination include the ACM Journal of Educational Resources in Computing
dissemination include the ACM Journal of Educational Resources in Computing
(JERIC)and the Computer Science teaching centre.
(JERIC)and the Computer Science teaching centre.Page 24

Clustering Result
Clustering Result

Grouping Of Result based On Different Parameters
Grouping Of Result based On Different Parameters
Easy To Manage Large Volume Of Data
Easy To Manage Large Volume Of Data
Reduce Size Of Search Domain
Reduce Size Of Search Domain
Reduce Time for Information
Reduce Time for InformationPage 25

Integrated Visualization
? Provides An Overview Of Retrieved Results
? Hyperbolic Tree & 2D ScatterPlot Graph Visualization Techniques
? Documents Interconnection Are Visually RepresentedPage 26

Stepping Stone & PathwaysPage 27


Software Engg & Exploratory Search
? New SE Steps in Web Application Developments
? Development Of Standards For Information Publishing in Web
? Search Engine Optimization TechniquesPage 28


CONCLUSION

It is clear that better tools to support exploratory searching are needed. The Net generation
will expect to be able to use web resources to conduct lookup, learning and investigative
tasks with fluid user interfaces. Exploratory search makes us all pioneers and adventures
in a new world of information riches awaiting discovery along with new pit falls and costs. Page 29




REFERENCES
? Communications Of The ACMApril 2006:Volume49
? Gary Marchionini and Ben Shneiderman: Finding Facts v/s Browsing
Knowledge in Hypertext Systems.
? http://en.wikipedia
?
http://clusty


?
http://mspace.fm/


? Oblinger,D :First steps towards understanding the Net Generation
? http://educause.edu/educatingthenetgen