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.

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

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

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

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

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 http://host/model?lang=RDQL\ &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

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

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

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

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

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” http://www.hpl.hp.com/semweb 5/5/2019 Rule based infernece support in Jena2

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