X-Search
XSearch
Contents
- Person responsible for editing/maintaining this page
- Pavlos Fafalios
- Type
- Libraries, Web application, deployed (and configured) applications
- Description (should specify min/max size)
- Detailed description at https://gcube.wiki.gcube-system.org/gcube/index.php/X-Search
- Related iMarine WP/Tasks
- T10.4
- Related iMarine Deliverables
- Related Milestones
Cover page: http://bscw.research-infrastructures.eu/bscw/bscw.cgi/d247523/MS45_M6.pdf
Detailed: https://gcube.wiki.gcube-system.org/gcube/index.php/Semantic_Data_Analysis
- Related Cluster
http://wiki.i-marine.eu/index.php/Semantic_cluster_achievements
- Related Presentations/Tutorials
- link to latest presentation ?
- Current (development) status
Link to a document that describes the implemented features: http://bscw.research-infrastructures.eu/bscw/bscw.cgi/d258140/XSearch%20PrototypesYear1.docx
- Current Deployments (click to run)
- X-Search over Bing and FactForge: http://139.91.183.72/x-search/
A meta-search engine offering "semantically enriched" entity mining of the top hits. Specifically, user is able to retrieve more information about a discovered entity by simply clicking the icon next to entity's label. In that case and according to the category of the selected entity, a SPARQL query is sent trying to fetch more information about that entity from the Linked Open Data cloud, exploiting various LOD datasets that offer access through SPARQL endpoints
- X-Search over FIGIS and FLOD: http://139.91.183.72/x-search-fao/
- X-Search over ECOSCOPE: http://139.91.183.72/x-search-fao/
Issue: ...
- Demo Scenarios
- Suppose that a user is looking for publications about tuna. Specifically he wants to find experiments that were applied to several species of tuna. So, he submits the query tuna and gets a sorted list of results and various categories of entities like Regional Fisheries Body, Species, FAO Country, etc.
User realizes that the category Species may contain interesting entities. He notices that there is an entity with the label yellowfin which is a species of tuna found in pelagic waters of tropical and subtropical oceans worldwide, and an entity with the label skipjack tuna which is another species in the tuna family. Both entities contain one (common) result; one related publication which is the 17th in the ranked list. So, user by performing just one click can locate that result which is very relevant to what he is looking for. Furthermore, user is able to locate fast results that are related to several FAO countries, Regional Fisheries Bodies, Persons, etc. For example, there are 4 results about tuna that are related to Madagascar.
Entity Enrichment: By clicking the RDF icon next to the entity’s name, user can instantly (at that time) get information about that particular entity by querying the FLOD endpoint (or the TLO-SPARQL endpoint). For example, by clicking the icon next to yellowfin we could instantly get more information about yellowfin tuna and explore its characteristics (e.g. a list of is predator of, is prey of, etc.).
- Related Papers
P. Fafalios, I. Kitsos, Y. Marketakis, C. Baldassarre, M. Salampasis and Y. Tzitzikas, Web Searching with Entity Mining at Query Time, Proceedings of the 5th Information Retrieval Facility Conference, IRF 2012, Vienna, July 2012.
Paper (pdf): http://www.ics.forth.gr/~fafalios/files/pubs/fafalios_2012_irf.pdf
Presentation (pdf): http://www.ics.forth.gr/~fafalios/files/ppts/fafalios_2012_irfc_presentation.pdf
BIB (txt): http://www.ics.forth.gr/~fafalios/files/bibs/fafalios2012websearching.bib
- Status
- .... in terms of stability/evaluation/testetc
- Related tickets
- numbers and links to the TRAC system
- Plans of next steps and related tickets
- Hosting by gCube
- service
- ....
- Exploitation of forthcoming TLO: ...