1. HP Labs and the semantic web
Presentation Title
HP Labs and the semantic web
Dave Reynolds
HP Laboratories
Copyright © 2003 HP corporate presentation. All rights reserved.

2. Rule based infernece support in Jena2
Outline
Ф0 – motivation
Ф1 – helping to lay the foundations
Ф2 – applications and deriving value
5/5/2019
Rule based infernece support in Jena2

3. Rule based infernece support in Jena2
Motivation
Creating opportunities
Semantic web has the potential to transform how information systems are developed
broad applicability
web style – decentralized, integration, network effect, serendipity
good fit for HP
open standards, open systems
heterogeneity
=>
help make it ‘happen’
discover the valuable applications and exploitation paths as we go
5/5/2019
Rule based infernece support in Jena2

4. Rule based infernece support in Jena2
Ф1 Help to make it happen
Standards (key foundations)
committed participation:
RDF Core: (HP co-chair)
WebOnt
DAWG
SWBP
Tools and Platforms – Building Blocks
Jena Semantic Web Framework
Joseki – Jena’s RDF Server
contribs and spin-offs – e.g. Brownsauce
5/5/2019
Rule based infernece support in Jena2

5. Jena semantic web framework
The RDF API
ARP N3
n-triples
Readers
XML
Writers
Mem
RDB
BDB
Stores
Ontology API
(RDFS/DAML/OWL…)
RDQL
Applications
Other QL
Inference
Open source
BSD Style License
Enabled widespread use:
Commercial and academic
Experimental and mainstream
Community Effect
RDF API
ONT API
Parsers and serializers
Query RDQL
Storage – RDBMS backends
Inference (rules, RDFS, OWL, DIG)
5/5/2019
Rule based infernece support in Jena2

6. Joseki – Jena’s RDF server
Publication and Remote Access to RDF
Access By Query
Coarse Grain, not triple by triple.
Returns matching subgraphs
Webbness
Implementation of NETAPI (member submission)
HTTP/URI HP implementation in Jena
SOAP/HTTP/WSDL implementation by Ontopia
Plugin Architecture:
Query Languages
Data Providers
RDQL Example:
SELECT * WHERE (?x ?y ?z)
GET &query=SELECT%20*%20WHERE\ %20(%3fx%20%3fy%20%3fz) HTTP 1.1
Returns matching sub-graph.
Web Access
Query
Inference*
Base Data
* RDFS/OWL closures
5/5/2019
Rule based infernece support in Jena2

7. Rule based infernece support in Jena2
Ф2 Applications
no killer app
explore broad range of applications
reinforce the ones that take root
look for opportunities to link them, serendipity
5/5/2019
Rule based infernece support in Jena2

8. Rule based infernece support in Jena2
Applications -1
External demonstrators - SWAD-E
semantic blogging
information portals
Content Management
SIMILE Joint (HP/MIT/W3C-SWAD research project)
Digital Library Metadata
Addressing issues of multiple schema (ontology), alignment, and versioning. …
5/5/2019
Rule based infernece support in Jena2

9. Rule based infernece support in Jena2
Applications -2
Knowledge management
informal, personal/workgroup (snippet manager)
KM document linking and classification
common features
information held and managed at the leaves
but aggregated for search and browsing
ontologies/vocabularies as first class citizens
single infrastructure spans range – link across the applications
Data integration
product catalogue example
database integration
connections to knowledge management
5/5/2019
Rule based infernece support in Jena2

10. Rule based infernece support in Jena2
Applications - 3
Semantic Web Services
EU Semantic Web enabled Web Services
inc. Innsbruck, FZI/Karlesruhe, DERI Galway, British Telecom
Enterprise Application Integration – working with internal partners.
Supply chain integration
Customer facing marketplace Web Service
Mobile Services, Ubiquitous Computing and B2C
5/5/2019
Rule based infernece support in Jena2

11. Rule based infernece support in Jena2
Summary messages
the foundations (standards and tools) are there
not finished but good enough to get on with applications
diversity of applications
biggest benefits will come from connecting them “better together”
5/5/2019
Rule based infernece support in Jena2

12. Presentation Title
Copyright © 2003 HP corporate presentation. All rights reserved.