background preloader

Semantic Web

Facebook Twitter

WordLift 2.0 (Pitch at JBoye11 in Aarhus) Knowledge Media Institute. Pdx music map. Example applications (see also): For unknown bands, an idea was to relate them to you in terms of bands you already know/like (in addition to manually clicking on maybe a “Like” button a la Facebook, it could be assumed that you know of bands that’ve played shows you attended, for instance), using the “six degrees of separation” mechanism like Music Routes. A caveat with all this is that new bands formed by “nobodies” would be at a disadvantage for discovery on this system - less links on the graph - and would still need to be discovered the old-fashioned way.

Proposed structure. Bridging the RDF and XML worlds. XSPARQL is a prototype implementation of the XSPARQL language. This rewriter translates an XSPARQL query into an XQuery as described in the XSPARQL Language Specification. Downloading XSPARQL You can download XSPARQLer in two different ways: as precompiled package or as source via the sourceforge subversion repository. Package. LeifW/MusicPath - GitHub. Normative Landscape of Ontology Tools - TechWiki. A new generation in ontology development tools is needed.

Normative Landscape of Ontology Tools - TechWiki

This documentation provides an explication of the landscape under which this new generation of tools is occurring.[1] Ontologies supply the structure for relating information to other information in the semantic Web or the linked data realm. Features - owltools - Summary of features of OWLTools - Wrapper for OWL API. This page describes some of the varied features of OWLTools.

features - owltools - Summary of features of OWLTools - Wrapper for OWL API

Some of these may eventually be split off into separate projects. For a complete and current list of sub-projects, see the API docs Convenience Methods on top of the OWL API OWLTools leverages the full features of the OWL API and OWL Reasoner API, but provides convenience methods for common tasks. OBO-Style Wrapper Although OWLTools wraps the OWLAPI, many of the ontologies currently being used are maintained as obo-format files. Owlpopulous - Semantic Spreadsheets for Populating OWL/RDF vocabularies. Populous is an generic tool for building ontologies from simple spreadsheet like templates.

owlpopulous - Semantic Spreadsheets for Populating OWL/RDF vocabularies

The Populous approach is useful when a repeating ontology design pattern emerges that need to be populated en-mass. The use of a simple interface, similar to that of a spreadsheet, means that the templates can be populated by users with little or no knowledge of ontology development. Once these templates are populated, Populous supports transforming the data into an OWL ontology using a expressive pattern language. Spreadsheets are currently transformed into OWL/RDF using the Ontology Pre-Processing Language v2 (OPPL).

Semantic Web Tools. Generate HTML. RIOT - Jena Wiki. Jena vs Sesame: is there a serious, complete, up-to-date, unbiased, well informed, side by side, comparison between the two? Here's my take.

Jena vs Sesame: is there a serious, complete, up-to-date, unbiased, well informed, side by side, comparison between the two?

I don't use either Jena or Sesame as a persistent triple store and don't expect to ever do so. There are so many other products out there (4store, Virtuoso, BigOWLIM, StarDog) and I see myself using Jena/Sesame as an API to access them. On the other hand, I do have a need for something that handles a small number of triples (say 1000 typically and 1M in an extreme case) in RAM. I don't want to deal with setup and teardown time for a "big" triple store. I do care about feature support, and I think Jena wins that hands down. Sesame does put streaming I/O on your fingertips (essential if somebody hands you 500M triples and you don't want to load every single one in a store), but if you load the the RIOT module and dig a little deeper into the docs you can do this with Jena. Semantic Web? It's Not Rocket Science. Except at NASA. - W3C Blog.

Stardog and Pellet 3: Semantics for the Enterprise. Michael Grove, VP of Engineering, Twitter: @mikegrovesoftClark & Parsia, LLC 7 June 2011 About Clark & Parsia Develop Semantic Technology infrastructure-level products and related solutions Customer-funded since 2005 Active in W3C standardization work: OWL, SPARQL, OWL 2, WSDL, etc.

Stardog and Pellet 3: Semantics for the Enterprise

Offices in Washington, DC and Boston Customers in government and industry, including banking, aerospace, health care, oil & gas, etc. In this talk I describe how we've combined the best of two worlds— Stardog for scalable query answering and instance reasoning, and Pellet 3 for expressive schema reasoning —into a single, coherent, scalable system for Enterprise Semantics. I'll first introduce each system, then talk about the integration; finally, I'll go over a couple real-world use cases. Quick Background SPARQL Query Answering and Reasoning.

NLP

Projects / LIMES. Rdfa-core-java - RDFa Core 1.1 implementation in Java. C Library Linked Data Incubator Group. The mission of the Library Linked Data incubator group is to help increase global interoperability of library data on the Web, by bringing together people involved in Semantic Web activities—focusing on Linked Data—in the library community and beyond, building on existing initiatives, and identifying collaboration tracks for the future.

C Library Linked Data Incubator Group

The group has explored how existing building blocks of librarianship, such as metadata models, metadata schemas, standards and protocols for building interoperability and library systems and networked environments, encourage libraries to bring their content, and generally re-orient their approaches to data interoperability towards the Web, also reaching to other communities. It has also envisioned these communities as a potential major provider of authoritative datasets (persons, topics...) for the Linked Data Web. Deliverables The W3C Incubator group has published three reports, as announced in this news release: Further information.

Linked Data - Connect Distributed Data across the Web. Antidot/db2triples - GitHub. D2RQ - Treating Non-RDF Databases as Virtual RDF Graphs - Chris Bizer. Antidot’s Open Source db2triples Implements R2RML and Direct Mapping. Antidot, which makes the semantically-powered Information Factory and Antidot Finder Suite software, this month released its db2triples as open source component software, available here, which implements the W3C RDB2RDF Working Group’s proposed R2RML language and Direct Mapping, covered here.

Antidot’s Open Source db2triples Implements R2RML and Direct Mapping

Antidot, in fact, shared with the W3C its experience leveraging Direct Mapping and R2RML to, in just half a day, fetch information from hundreds of tables in a client’s Magento ecommerce database to transform it to a graph model. That’s normally a complex task, says Antidot founder and CEO Fabrice Lacroix, which would involve data transformation and database content indexing of an unknown database model. Shellac/JenaJung - GitHub. Tinkerpop/gremlin - GitHub. 5 Simple Provenance Statements. Providing easily processable information about the provenance or origins of Web pages and data is important.

5 Simple Provenance Statements

It lets us give credit where its due and it helps others trust the information we publish on the Web. Here’s some simple provenance statements one can make using PROV-DM, the recently released working draft of a data model for provenance from the W3C. Before getting into the examples, a couple of notes: Social bookmarking tool using smart semantic Wikipedia (DBpedia) tags. Launch Press Release.

The Challenge of Building the Semantic Web. The Semantic Web is often described as an extension of the current Web.

The Challenge of Building the Semantic Web

The idea of what extending the Web should look like can be seen in Linked Data. In order to better understand the importance of Linked Data, one has to understand the context in which it emerged, i.e. the problem it has been trying to solve. LODWheel. LDIF – Linked Data Integration Framework. The Naive CIO — MakingITclear® ByHarwellonOctober 11, 2011 The naive CIO believes all the articles telling you that it’s your duty as a CIO to prevent devices like iPhones, Android devices and tablets of all types from coming into your workplace.

The Naive CIO — MakingITclear®

The naive CIO may actually believe that there is a workplace these days, even though more and more business is being conducted away from the office and maybe even away from your home city or country. The naive CIO thinks that “enterprise IT” is in control of your devices and that no unapproved devices will ever use your network. The realistic CIO knows that IT exists to serve the enterprise and its employees — not the other way around. PR-OWL Home. DATAVERSITY. All about Open Linked Data and Semantic Web. Semantic Web. Home - GitHub. Gravity.com. Linked Java. Flexibility comes first! Semantic Web Lab. Chem2Disease - Drug Repurposing Explorer Chem2Disease applies heterogeneous graph mining algorithms developed by Dr. Yizhou Sun at UIUC. This tool enables you to search the database for drugs like: Sadi - Semantic Automated Discovery and Integration (SADI)

A Graph-Based Movie Recommender Engine from the Spring Roo Perspective. A Graph-Based Movie Recommender Engine « Marko A. Rodriguez. Linked Data: Evolving the Web into a Global Data Space. Semantic Save – Prototype. Why Semantic Web Technologies: Are We Asking the Wrong Question? - TechnicaLee Speaking. Saving Months, Not Milliseconds: Do More Faster with the Semantic Web - TechnicaLee Speaking.

Graph Store

Callimachus. Volkswagen’s RDF Data Management Workflow at Frederick Giasson.