View
976
Download
0
Category
Tags:
Preview:
DESCRIPTION
Edmundo Tovar, Nelson Piedra, Jorge Lopez, Janeth Chicaiza
Citation preview
Edmundo Tovar, Nelson Piedra, Jorge López, Janeth Chicaiza Bali Indonesia May 8-‐10, 2013
Serendipity a Faceted Search engine for OpenCourseWare Content
@nopiedra #ocwcglobal #OCW #OER #Serendipity #UTPL
The main purpose of the service developed is to provide students, teachers and self-learners with an faceted search engine that allow them to find and discover open educational resources related to OCW from OpenCourseWareConsortium and OCW-Universia.
Purpose of Serendipity
Faceted search, also called faceted navigation, is a technique for accessing content organized according to a faceted classification system, allowing users to explore a collection of information by applying dynamic and multiple filters. With the benefit of search results diversification, no need for a priori knowledge, and never leading to zero result, it can significantly reduce information overload.
About Faceted ExploraDon
Facets refer to categories used to characterize information items in a collection. A faceted classification system classifies each information element along multiple explicit dimensions, enabling the classifications to be accessed and ordered in multiple ways rather than in a single, pre-determined, and taxonomic order.
Facets and taxonomic order
Faceted exploration is a proven technique for supporting flexible exploration and discovery through the information space. The user can refine queries based on facets such as size, language, knowledge-domain, geographic localization and neighbourhood characteristics. The facets are extracted by applying a parser specialized for parsing classified content.
Refine queries based on facets
Serendipity is for people Serendipity is an faceted search engine based on Semantic Web Technologies. Open Linked Data from Open Educational
Content. Current version of Serendipity is based on Flamenco.
Serendipity is an faceted search engine based on Semantic Web Technologies. Serendipity is based on Flamenco. The main objectives of faceted navigation are to support flexible navigation through the information space: refining and expanding, provide suggestions of exploration choices at each point in the search process, prevent empty result sets, and provide a sense of control and reduce confusion in the use.
About Serendipity
Serendipity use Linked Data Design Issues to retrieve information that is semantically described and related to open educational resources (OER) that are accessible via Internet. Linked data have the potential of create bridges between OER data silos.
The collection under study consisted of approximately 8000 OpenCourseWare in the collection of the OCW-Dataset of LOCWD Project. This collection contained standard OER metadata facets, including creators names, language, licenses of OCW, repositories, tags, knowledge areas, universities, countries and dates.
CollecDon PreparaDon
The data extracted by Serendipity been validated through the sponsorship and collaboration of OpenCourseWare Consortium.
Sponsorship from OCWC
i. Faceted Query of OCW based on Linked OpenCourseWare data
CASE: FIND, OpenCourseWare about “Web”
The Serendipity faceted exploration is a guided and exploratory search mechanism, which provides an iterative way to refine search results by a faceted taxonomy or a schema of classification.
Serendipity facet exploraDon
hRp://serendipity.utpl.edu.ec Serendipity is an OCW faceted search engine based on
SemanVc Web Technologies.
Guided navigation Previews of Results
Refine search
Add keywords With Serendipity Explore OCW in an integrated and incremental manner, from any of the repositories of insVtuVons that publish OpenCourseWare.
The user, when presented with the facets, is likely to discover new facets of the query that they were not aware of before. When clicking on a facet, they will narrow down their search by expanding the original query with the suggested facet.
Discover new facets by expanding the original query
Facets
Share this OCW
Inspect current OCW
Refine your search
Access the full descripDon of the courses as published by the home insVtuVon, along with complimentary informaVon such as language, license, author, country, geographic locaVon of the insVtuVon and other semanVcally related informaVon available via the Web.
Propose change
Inspect the result from OCW original site
Get more accurate and complete results, since it locates OCWs using different metadatas and data elements, providing the user with visible opVons that help clarify and refine the queries.
Link current OCW to
Other LinkedData Source
ii. Map to visualize OER Points of Interest
As an important feature of Serendipity, Serendipity POIs (Points of Interest), allows users visualize data of OCW/OER/MOOC/OEP/Projects/Repositories from an dataset based on Linked Data technologies.
About Serendipity POIs
Serendipity POIs use icons to represent different categories of POI on a map graphically. A point of interest, or POI, is a OER specific point locaVon that someone may find useful or interesVng.
A point of interest specifies, at minimum, the laDtude and longitude of the POI, assuming a certain map datum (extrated from serendipity datasource). A name or descripVon for the POI is usually included, and other informaVon such as descripVon, number of resources, contact informaVon, language, license or a link to dbpedia/freebase may also be aRached.
An example is a point on the Earth represenVng the locaVon of the MassachuseRs InsVtute of Technology, or a point on Spain represenVng the locaVon of an OCW University.
Other example is a point on the Earth represenVng the locaVon of the University of Cape Town
Serendipity use the term POIs when referring to Open Repositories of OCW/OER/OEP/Projects, Open Data for educational content, MOOCs or any other categories used in open educational systems.
iii. Open Data from Open EducaDonal Content
Serendipity POIs seeks to become a repository for the information about OER that the Serendipity Multiagent Environment collects. Therefore, the site would publish to the public any data collected that is not private or restricted.
CollecDng and downloading OER Data
Serendipity Open Data is the idea that certain data should be freely available to everyone to use and republish as they wish, without restricVons from copyright, or other mechanisms of control.
Why publish Linked OER Data?
• Because LinkedData holds the potenVal to move our OER collecVons out of their silos
• Open the data and content silos, to leverage the knowledge capital represented by our OER repositories
• To enrich our informaVon landscape, to improve visibility • To improve ease of discovery open academic resources • To improve ease of consumpVon and reuse of OCW • To reduce redundancy in searched of OER • PromoVng innovaVon and Added Value to Open EducaVonal
Content
iv. Suggest new Points of InformaDon
The purpose of Serendipity POIs - Open data is to increase public access to high value, machine readable datasets generated by volunteers and data extracted from Serendipity multiagent environment.
v. Data visualizaDon
Why OER DataViz?
Serendipity POIs - Open data contains valuable informaVon that will drive insights, innovaVons, and discoveries, but it can be difficult to access and digest. Using data visualizaVon, we’re simplify the complexity and drive a deeper understanding of the open educaVonal context.
The main goal of data visualizaDon is its ability to visualize OER data, communicaVng informaVon clearly and effecVvelty.
Data VisualizaDon 1. It shows informaVon of UniversiVes classified hierarchically, taken starVng point to conVnents, then countries, ciVes and universiVes
Data VisualizaVon 2: Tree structures to show another way to visualize the informaVon the universiVes members of OCW iniVaVves.
Data VisualizaVon 3: Search courses by tag and use geographic informaVon to show courses of universiVes and social network analysis (SNA) to form networks of collaboraVon and recommend related tags
@nopiedra #ocwcglobal #OCW #OER #LOCWD #LinkedData #UTPL
Thanks!�@nopiedra, @etc91
Recommended