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 toprovide students, teachers and self-learners withan faceted search engine that allow them to findand discover open educational resources relatedto OCW from OpenCourseWareConsortium andOCW-Universia.Purpose of Serendipity
Faceted search, also called faceted navigation, is atechnique for accessing content organized according to afaceted classification system, allowing users toexplore a collection of information by applyingdynamic and multiple filters.With the benefit of search results diversification, no needfor a priori knowledge, and never leading to zero result, itcan significantly reduce information overload.About Faceted ExploraDon
Facets refer to categories used to characterizeinformation items in a collection.A faceted classification system classifies eachinformation element along multiple explicit dimensions,enabling the classifications to be accessed and orderedin multiple ways rather than in a single, pre-determined,and taxonomic order.Facets and taxonomic order
Faceted exploration is a proven technique for supportingflexible exploration and discovery through the informationspace.The user can refine queries based on facets such assize, language, knowledge-domain, geographiclocalization and neighbourhood characteristics. Thefacets are extracted by applying a parser specialized forparsing classified content.Reﬁne queries based on facets
Serendipity is for people Serendipity is an faceted search engine based on SemanticWeb Technologies. Open Linked Data from Open EducationalContent. Current version of Serendipity is based on Flamenco.
Serendipity is an faceted search engine based on Semantic WebTechnologies. Serendipity is based on Flamenco.The main objectives of faceted navigation are to support flexiblenavigation through the information space: refining and expanding,provide suggestions of exploration choices at each point in thesearch process, prevent empty result sets, and provide a sense ofcontrol and reduce confusion in the use.About Serendipity
Serendipity use Linked Data Design Issuesto retrieve information that is semanticallydescribed and related to open educationalresources (OER) that are accessible viaInternet. Linked data have the potential ofcreate bridges between OER data silos.
The collection under study consisted of approximately8000 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 validatedthrough the sponsorship and collaboration ofOpenCourseWare 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 guidedand exploratory search mechanism, whichprovides an iterative way to refine search resultsby a faceted taxonomy or a schema ofclassification.Serendipity facet exploraDon
hRp://serendipity.utpl.edu.ec Serendipity is an OCW faceted search engine based on SemanVc Web Technologies.
Guided navigation Previewsof ResultsRefine searchAdd keywordsWith 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, islikely to discover new facets of the query thatthey were not aware of before.When clicking on a facet, they will narrow downtheir search by expanding the original query withthe suggested facet.Discover new facets by expanding the original query
FacetsShare this OCWInspect current OCWRefine your searchAccess 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 fromOCW original siteGet 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.
As an important feature of Serendipity,Serendipity POIs (Points of Interest), allowsusers visualize data of OCW/OER/MOOC/OEP/Projects/Repositories from an dataset based onLinked Data technologies.About Serendipity POIs
Serendipity POIs use icons to represent different categories of POI on a mapgraphically. 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 ofOCW/OER/OEP/Projects, Open Data for educational content, MOOCs orany other categories used in open educational systems.
Serendipity POIs seeks to become arepository for the information about OERthat the Serendipity Multiagent Environmentcollects.Therefore, the site would publish to thepublic any data collected that is not privateor 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
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