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Client-side	Processing	of	GeoSPARQL	
Func9ons	with	Triple	Pa?ern	Fragments		
Christophe	Debruyne	(Trinity	College	Dublin)	
Éamonn	Clinton	(Ordnance	Survey	Ireland)	
Declan	O’Sullivan	(Trinity	College	Dublin)	
2017-04-03	@	Linked	Data	on	the	Web	(LDOW2017)	
The	ADAPT	Centre	is	funded	under	the	SFI	Research	Centres	Programme	(Grant	13/RC/2106)	and	is	co-funded	under	the	European	Regional	Development	Fund.
www.adaptcentre.ieIntroduc9on	
Geospa9al	informa9on	is	an	important	part	of	the	LD	Web		
	
Some	geographic	LD	datasets	are	authorita9ve	
•  Ordnance	Survey	Linked	Data	(UK)	,	data.geohive.ie	(IE)	
Not	all	geographic	LD	datasets	adopt	standards	
•  Ordnance	Survey	Linked	Data	uses	their	own	vocabulary,	and	
provides	no	support	for	spaXal	funcXons	
	
Not	all	endpoints	serving	GeoSPARQL	support	its	func9ons	
•  GeospaXal	funcXons	are	computaXonal	expensive;	server	load	
•  One	o[en	provides	data	dumps	and	resolvable	URIs	as	a	“good	
enough”	pracXce	to	avoid	this	problem	(Verborgh	et	al.	2016)	
R.	Verborgh,	M.	Vander	Sande,	O.	HarXg,	J.	Van	Herwegen,	L.	De	Vocht,	B.	De	Meester,	G.	
Haesendonck,	and	P.	Colpaert.	2016.	Triple	Pacern	Fragments:	A	low-cost	knowledge	graph	
interface	for	the	Web.	J.	Web	Sem.	37-38	(2016),	184–206
www.adaptcentre.ieIntroduc9on	–	data.geohive.ie	
data.geohive.ie	is	an	ongoing	
collaboraXon	between	ADAPT	
and	the	Ordnance	Survey	Ireland	
to	publish	OSi’s	authoritaXve	
geospaXal	informaXon	as	Linked	
Data.	
	
StarXng	from	publicly	available	
boundary	data,	supporXng	two	
use	cases:	provision	of	different	
geometries	for	features,	and	
provenance	and	evoluXon	of	
features	and	their	geometries
www.adaptcentre.ieIntroduc9on	–	data.geohive.ie	
data.geohive.ie	
•  Provides	resolvable	URIs,	dumps	and	a	LD	frontend	
•  Decided	against	providing	a	public	SPARQL	endpoint	
•  Triple	Pacern	Fragments	were	adopted	instead	
Triple	Pa?ern	Fragments	(TPF)	
•  Distribute	load	between	a	TPF	client	and	server	
•  Less	load	on	the	server	at	the	cost	of	increased	bandwidth
www.adaptcentre.ieIntroduc9on	–	data.geohive.ie	
But,	TPF	has	no	support	for	GeoSPARQL	
•  Non-implementaXon	rather	than	limitaXon	
•  GeoSPARQL	is	an	extension	of	SPARQL	(scope)	
Agents	cannot	apply	GeoSPARQL	func9ons	on	OSi’s	authoritaXve	
geospaXal	Linked	Data,	or	they	have	to	load	the	data	in	
GeoSPARQL-enabled	triplestores	
	
Would	it	be	feasible	to	extend	TPF	with	GeoSPARQL?	
Feasible	as	in	a	viable	approach	to	process	GeoSPARQL
www.adaptcentre.ieApproach	
Two	possible	approaches:	
	
A)	Extending	a	TPF	Client	
•  TPF	server	specificaXon	intact	(backwards	compaXble)	
•  Possibly	more	network	overhead	
	
B)	Extending	the	TPF	server	
•  Outside	server	specificaXon,	but	proven	to	be	viable	for	
substring	filtering	(Van	Herwegen	et	al.	2015)	
Addi9onal	requirement:	a	pure	JavaScript	implementa9on		
•  Allows	one	to	run	the	client	in	a	browser	and	hence	facilitate	
stakeholders	in	formulaXng	GeoSPARQL	queries	
J.	Van	Herwegen,	L.	De	Vocht,	R.	Verborgh,	E.	Mannens,	and	R.	Van	de	Walle.	2015.	Substring	Filtering	for	Low-Cost	
Linked	Data	Interfaces.	In	The	SemanXc	Web	-	ISWC	2015	-	14th	InternaXonal	SemanXc	Web	Conference,	
Bethlehem,	PA,	USA,	October	11-15,	2015,	Proceedings,	Part	I	(LNCS),	Vol.	9366.	Springer,	128–143.
www.adaptcentre.ieApproach	
Implementa9on	
•  We	extended	V2.0.4	of	the	TPF	Node.js	Client	
(Available	at	hcps://github.com/chrdebru/Client.js)	
•  Made	available	a	web-client	using	this	extension	
(At	hcp://theme-e.adaptcentre.ie/geo-tpf/)	
	
GeoSPARQL	coverage	
•  Support	for	GeoSPARQL	FILTER	funcXons	that	we	deem	to	occur	
o[en	in	examples	(sfTouches,	sfWithin,	…)	
	
Func9ons	are	implemented	in	terms	of	set	opera9ons	
•  E.g.,	sfOverlaps:		The	intersecXon	of	the	2	geometries	is	not	
empty	and	should	contain	polygons	or	mulX-polygons	denoXng	
areas.
www.adaptcentre.ieDemonstra9on	
Paper	provides	
details	on	use	
within	the	
context	of	a	TCD	
Library	Linked	
Data	and	Sensor	
Data	analysis	
projects.
www.adaptcentre.ieDiscussion	(condensed)	
On	performance	
•  Based	on	iniXal	experiments.	Most	Xme	went	to	processing	of	GeoSPARQL	
FILTER	funcXons.	Slightly	worse	results	in	terms	of	Xme	compared	to	
running	queries	in	a	triplestore.	We	thus	deem	our	approach	viable.	
•  However,	our	approach	using	JavaScript	(in	a	browser)	will	unlikely	
outperform	such	triplestores	in	terms	of	performance	
On	Op9miza9on	
•  OSi	provides	high-res	polygons,	which	causes	a	lot	of	network	traffic.		
•  br-TPF	(HarXg	and	Buil	Aranda,	2016)	did	reduce	the	number	of	HTTP	calls,	
but	not	really	the	amount	of	traffic	for	the	polygons.	
•  Server-side	support	for	GeoSPARQL	funcXons	could	tackle	that	problem	
O.	HarXg	and	C.	Buil	Aranda.	2016.	Bindings-Restricted	Triple	Pacern	Fragments.	In	On	the	Move	to	Meaningful	
Internet	Systems:	OTM	2016	Conferences	-	Confederated	InternaXonal	Conferences:	CoopIS,	C&TC,	and	ODBASE	
2016,	Rhodes,	Greece,	October	24-28,	2016,	Proceedings	(LNCS),	Vol.	10033.	Springer,	762–779.
www.adaptcentre.ieConclusions	and	Future	Work	
Conclusions	
•  We	extended	a	TPF	client	to	support	GeoSPARQL	funcXons	
•  The	paper	illustrates	how	we	used	it	for	different	projects	
Lessons	Learned	
•  IniXal	results	showed	our	approach	is	viable	
•  Though	network	overhead	may	sXll	be	an	issue,	an	extension	of	the	TPF	
server	is	worthwhile	exploring	(future	work)	
•  How	to	deal	with	GeoSPARQL	predicates	and	funcXons?	
Future	work	
•  Complete	implementaXon	and	test	with	funcXonal	benchmarks,	e.g.,	
Geographica	(Garbis	et	al,	2013)	
•  Experiments	involving	stakeholders,	and	idenXfy	the	limitaXons	of	our	
approach	to	characterize,	for	instance,	“sensible”	queries	
G.	Garbis,	K.	Kyzirakos,	and	M.	Koubarakis.	2013.	Geographica:	A	Benchmark	for	GeospaXal	RDF	Stores	(Long	
Version).	In	the	SemanXc	Web	-	ISWC	2013	-	12th	InternaXonal	SemanXc	Web	Conference,	Sydney,	NSW,	Australia,	
October	21-25,	2013,	Proceedings,	Part	II	(LNCS),	Vol.	8219.	Springer,	343–359.

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