ACIS 2015 Bibliographical-based Facets for Expertise Search
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Transcript of ACIS 2015 Bibliographical-based Facets for Expertise Search
Contents of This Presentation
Expertise SearchProblemBibliographical-based Facets Framework Overview
Expertise Search
Expertise search is a process of finding information related to experts in their areas of expertise.
Organization like universities, research centers, companies.
Expertise Search
Medical Setting: Looking for expertise of all doctors in a country.
Research Setting: Looking for researcher to review a paper.
Academic Setting: Looking for supervisor related to my research interest.
Expertise Search: Scope of This Study
We know there are many interesting expertise out there ..
However, we need to choose one most familiar domain
Bibliographical Domain
&
Researchers/Authors/Academics
Expertise Search
The search of experts is normally linked to specific intentions, such as, looking for someone who published at particular venues, someone knows a mathematical model, algorithms and so forth.
Expertise Search: Motivation
Improve the discovery of expertise
Who is familiar with bee colony algo ?
Who has TREC data set?
Who is in the area of security?
Source: Part of Academic Staff from School of Computer Sciences Site
Expertise Search: Motivation
Apart from solving this using Question Answering approach,
Faceted Search
Expertise Search: Motivation
Faceted Search
allowing users to explore a collection of information by applying multiple filters.
Year
Venue
Type
Coauthor
…
Problem
The current facets are general filter
A facet and its value is normally given.
E.g.
“Year” facet and its value
“2014”
Problem
Facets like algorithm, framework, model, application etc. are may be useful to refine the search results.
Challenge to extract the value dynamicallyFacetValue
Problem
Challenging
as these values are normally not specified as part of the structured/descriptive information of a bibliographical text.
<year>2015</year>
Scattered throughout the text, e.g Title, Abstract, Headings, Paragraphs !
Framework Overview
Facet Value Extraction
i. Tokenization of sentence using connective words.
ii. Detection of Facet
iii. N-gram to find the common phrase nearby Facet.
Example,
Solving Asymmetric Traveling Salesman Problems using a generic Bee Colony Optimization framework with insertion local search
Framework Overview
Facet Value Generation
i. Search Query
ii. Retrieval of Search Results
iii. Generate facet-value based on subset of results.
Framework Overview
Refine by FrameworkBee Colony Optimization…
Refine by AlgorithmModified Intelligent
Water Drops IWD
….Refine by Data Set
Malay broadcast news ….
Evaluation Plan
Dataset
DBLP Bibliographical records of School of Computer Sciences
Benchmarking
Human expert, the expert themselves to judge.
Accuracy
Precision and Recall Measure