Search Results for "semantic"

...Druid has been deployed to the maven central repository. Druid provides a monitoring feature that can be implemented through filter-chain. It also comes with WallFilter, that is based on the SQL semantic analysis to protect from SQL injection attacks. Monitor connection leaks and connect to other databases, like Oracle database.

Jena is Java toolkit for developing semantic web applications based on W3C recommendations for RDF and OWL. It provides an RDF API; ARP, an RDF parser; SPARQL, the W3C RDF query language; an OWL API; and rule-based inference for RDFS and OWL. Jena is now an Apache project: http://jena.apache.org/

Querying and data administration front end for Google Fusion Tables Sql providing augmented Sql features. Coming as Eclipse plugin (see External Links) or barren stand alone client with low resource footprint, a code editor matching contemporary standards and command line mode.

Now stored at https://github.com/gregorydgraham/DBvolution Available from Maven Central: nz.co.gregs.dbvolution Makes relational data easy and fast to use with semantic annotations and encapsulated datatypes. Simple declaration of a DB table: @DBTableName("mytable") public class MyTable extends DBRow { @DBColumn("numeric_code") @DBForeignKey(Code.class) private DBNumber numericCode = new DBNumber(); @DBColumn("uid_mytable") @DBPrimaryKey @DBAutoIncrement private DBNumber uidMyTable = new DBNumber(); } Easy Gets: List<MyTable> myRows = myDB.get(new MyTable()); MyTable row = myDB.getDBTable(new MyTable()).getByPrimaryKey(61176904); Natural and Outer Joins and Criteria: CarCo carCo = new CarCo(); carCo.name.isLiterally("GM"); List<DBQueryRow> results = myDB.get(carCo, new Marque()); dbQuery.addOptional(new CarModel()); Easy debugging: query.getSQLForQuery(); Simple processing: db.print(query.getAllRows()); List<Marque> marques = query.getAll

The Bio2RDF project aims to transforms silos of life science data into a globally distributed network of linked data for biological knowledge discovery. Bio2RDF creates and provides machine understandable descriptions of biological entities using the RDF/RDFS/OWL Semantic Web languages. Using both syntactic and semantic data integration techniques, Bio2RDF seamlessly integrates diverse biological data and enables powerful new SPARQL-based services across its globally distributed knowledge bases.

Our aim is to enable Web applications to consume linked data from the Web. With SQUIN (Semantic Web Query Interface) we will provide a Web data query service as an addition to the LAMP technology stack. This service executes queries over the whole We

Semantic query optimization (SQO) is the process of finding equivalent rewritings of an input query given constraints that hold in a database instance. We present a Chase & Backchase (C&B) algorithm strategy that generalizes and improves on well-known methods in the field. The implementation of our approach, the pegasus system, outperforms existing C&B systems an average by two orders of magnitude.

The “RDB2RDF Mapper” is a Java based software desktop application which allows a user to create a mapping file between a relational database and an RDFS/OWL ontology via a graphical user interface. This project is ANDS-funded.

Ontology MApping FRAmework Toolkit allows to create semantic relations between two (source and target) ontologies, and apply such relations in translating source ontology instances into target ontology instances.

MAPONTO is an interactive tool for discovering semantic mappings between database schemas and ontologies as well as between different database schemas. The tool analyzes semantics in the input schemas and ontologies for generating semantic mappings.

This project provides integration components (Portlets) between the Liferay Enterprise Portal (www.liferay.com) and the iQser GIN Semantic Middleware (www.iqser.com).

The Pointrel System is an RDF-like triple store implemented on the Java/JVM platform, supporting related social semantic desktop applications to create, use, exchange, and organize informational resources for a reasonably joyful and secure world.

Wikipedia Concept Association Map (WCAM) is new approach for textual knowledge representation and understanding. All concepts and associations are stored in a graph database for better performance and easy distribution.

The D2RQ API provides access to relational database content from within the Jena and Sesame RDF frameworks. D2R Server is a Semantic Web server and SPARQL endpoint based on D2RQ. Both use a declarative language for mapping database schemata to RDF.

*** PROJECT NOT MAINTAINED ANYMORE *** RDFStats generates statistics for RDF datasets behind SPARQL-endpoints and within single RDF documents.

A visual query interface for the semantic web.

DB2RDF is a a software tool that will convert data from relational data model to semantic data model (in the form of RDF and RDFS). A SPARQL endpoint for querying the converted data. For querying the semantic data, SPARQL query language is used.

The Semantic Web implementation using native xml database as backend storage. A SPARQL java compiler to XQuery using Jena. There are XQuery scripts for native xml database Sedna(http://modis.ispras.ru/sedna/).

JApprDB is a database engine able to store knowledge by means of semantic networks, representing semantic relations between the concepts. Databases are supposed to be queried by Lojban - a syntactically unambiguous language based on predicate logic.

Crow - Computational Representation Of Whatever. A platform for the integration and mining of complex and distributed data. Represents cross-linked semantic web documents as a network of software objects and offers easy ways to filter, and sort them.

vyasa is a digital library application that incorporates the functions of digital asset and document management systems. It facilitates information retrieval and knowledge discovery by providing comprehensive metadata generation and semantic analysis.

SCAM is a development environment for building metadata stores for RDF and the Semantic Web. SCAM is built upon international technology standards and metadata standards. Such as RDF, Dublin Core, IEEE/LOM and IMS.

Relational.OWL automatically extracts the semantics of virtually any relational database and transforms this information automatically into RDF/OWL, processable by a wide majority of Semantic Web applications.

Centre is a synthetic trajectory generator environment that aim to generate semantic-based trajectory datasets usable for spatio-temporal data-mining algorithms in testing and validation process.

SeSIL is a framework for providing semantic relationships between objects in a database.