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Semantic Web

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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 Relationships between musicians, bands: I was thinking it might be necessary to reify the relationships between band members and bands, to have additional triples say things about that relationship (i.e. durations, instrument(s) played). 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 The packaged XSPARQL is available for download on the Sourceforge project page You can get the current svn version of XSPARQL by running the following command:$ svn co xsparql.

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] 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. 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). OPPL 2 is a powerful scripting language for generating and manipulating OWL axioms. Semantic Web Tools. Generate HTML. [ Set your naming convention for your elements. Click the help icon to know more] You can choose/set the naming convention for your elements. Examples: For Ruby on Rails auto binding, the convention is table_name[column_name] ASP.NET MVC auto binding, the convention is table_name.column_name Custom Naming Convention: Sometimes you will need your own custom naming convention, in that case you can enter your own expressions with the tokens {table_name} and {column_name}

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. Semantic Web? It's Not Rocket Science. Except at NASA. - W3C Blog. I met Jeanne Holm last week during the W3C Advisory Committee meeting.

Semantic Web? It's Not Rocket Science. Except at NASA. - W3C Blog

Jeanne is the Chief Knowledge Architect at the Jet Propulsion Laboratory (JPL), California Institute of Technology, and leads the Knowledge Management Team at NASA. When we started talking about NASA’s use of Semantic Web technology I asked whether the application satisfies three criteria: The application aggregates data from three independently developed sources.The data is used in ways not originally intended (“serendipitous reuse”).The cost of aggregation is low, requiring only a small amount of connective tissue. 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.


Projects / LIMES. General Overview LIMES implements novel time-efficient approaches for link discovery in metric spaces.

Projects / LIMES

Our approaches different approximation techniques to compute estimates of the similarity between instances. These estimates are then used to filter out a large amount of those instance pairs that do not suffice the mapping conditions. By these means, LIMES can reduce the number of comparisons needed during the mapping process by several orders of magnitude. The approaches implemented in LIMES include the original LIMES algorithm for edit distances, REEDED for weighted edit distances, HR3, HYPPO, and ORCHID. Architecture. Rdfa-core-java - RDFa Core 1.1 implementation in Java. Rdfa-core-java is a Java implementation of the RDFa Core 1.1 draft.

rdfa-core-java - RDFa Core 1.1 implementation in Java

Project is following specification strictly and passes all current unit tests. rdfa-core-java includes XHTML+RDFa 1.1 host language support and supports both SAX and DOM parsing. Project is part of a closed world assumption based message validation service created under Finnish government funded Tikesos-project. Unlike other parsers, rdfa-core-java stores information about the locations of RDFa attributes in XML (Line and Column numbers in SAX, Nodes in DOM). This information is used by the validation service to provide user-friendly messages (such as cardinality failures, undefined data types, invalid data types, unexpected properties, etc.) about the document structure. A Jena integration example is provided as a unit test. 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. 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: : About. Social bookmarking tool using smart semantic Wikipedia (DBpedia) tags. Launch Press Release. The Challenge of Building the Semantic Web. LODWheel. LDIF – Linked Data Integration Framework. The Naive CIO — MakingITclear® ByHarwellonOctober 11, 2011. PR-OWL Home. DATAVERSITY. All about Open Linked Data and Semantic Web. Novel and more accessible forms of information from government and private sources represent a new and rapidly growing piece of the big-data puzzle.

A McKinsey Quarterly article.Not all data that’s valuable is internal and proprietary. New initiatives by governments as diverse as those of the United States, Mexico, and Singapore are opening the spigots of readily usable public data. Corporate information too is becoming more “liquid,” moving across the economy as companies begin sharing data with their business partners and, sometimes, consumers. Semantic Web. Home - GitHub. 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.

The MovieRatings Dataset. 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.