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X-Media Knowledge Access API |
This API feature a store-independent access of knowledge. It offers an abstraction over RDF and OWL knowledge base and supports entity- and axiom-based access / manipulation / storage functionalities. Access to a particular store will be enabled by adapter implementation. Currently, adapters for KAON2 and Sesame2 are available.
This work was co-funded by the X-Media
project (www.x-media-project.org) sponsored by the European
Commission as part of the Information Society Technologies
(IST) program under EC grant number IST-FP6-
026978.
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Last Release (Monday, 10 March 2008) |
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AEON |
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Did you ever try to evaluate ontologies? Ever tried to apply OntoClean? Did you find it difficult and timeconsuming to tag all the concepts? We have a solution for you.
AEON (Automatic Evaluation of ONtologies) automatically tags concepts with appropriate OntoClean meta-properties. The implementation can be easily expanded to check the concepts for other abstract meta-properties, thus providing for the first time tool support in order to enable intensional ontology evaluation for concepts. Our main idea is using the web as an embodiment of objective world knowledge, where we search for patterns indicating concepts meta-properties. We get an automatic tagging of the ontology, thus reducing costs tremendously. Moreover, AEON lowers the risk of having subjective taggings.
OntoClean is a unique approach towards the formal evaluation of ontologies, as it analyses the intensional content of concepts. Although it is well documented in numerous publications, and its importance is widely acknowledged, it is still used rather infrequently due to the high costs for applying OntoClean, especially on tagging concepts with the correct meta-properties.
We believe that evaluation of Ontologies is important. Therefore we are working on lowering the burden associated with it. AEON is a highly valuable first step.
Publication: Johanna Völker, Denny Vrandecic, York Sure. Automatic Evaluation of Ontologies (AEON). In Y. Gil, E. Motta, V. R. Benjamins, M. A. Musen, Proceedings of the 4th International Semantic Web Conference (ISWC'05), volume 3729 of LNCS, pp. 716-731. Springer Verlag Berlin-Heidelberg, November 2005.
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Last Release (Wednesday, 15 August 2007) |
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AIFB commons |
| Reusable, small bits of Java code, often but not always related to ontology driven development (ODD).
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Approximate Ontology Reasoning Workbench |
| This project implements the approximate reasoning approaches such as SCREECH, query approximation and the anytime reasoning with discrete times. Furthermore, it provides an array of tools supporting ontology benchmark, populations and materializations.
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HELENOS - KDD Workbench |
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HELENOS is a Knowledge Discovery Workbench for the Semantic Web which maps the KDD process within a scalable framework to generate horn-logic rules explaining the given data. While HELENOS can generate expressive (relational) rules it keeps applicable.
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Last Release (Friday, 22 June 2007) |
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Bibster |
| Bibster is a Java-based system which assists researchers in managing, searching, and sharing bibliographic metadata (e.g. from BibTeX files) in a peer-to-peer network.
The advantage of the system is it provides the possibility to search on a distribute
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CompSem |
| The CompSem project provides an implementation of a UDRT-based compositional semantics approach on the basis of Lexical Tree Adjoining Grammars. It currenlty builds on the XTAG Parser.
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DIG Plugin |
| DIG plug-in in NeOn Toolkit is used to provide a DIG client to facilitate users to switch different reasoners for their reasoning tasks, and provide graphical user interfaces to do some reasoning tasks like checking inconsistency of an ontology.
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eMO - eMarket Ontologies |
| The collection of ontologies allows modeling of offers and requests in a market. The Bidding Ontology introduces the basic concepts for formalizing bids. It imports the Policy Ontology for attaching prices and preferences to highly configurable products. The Web Services Ontology introduces modeling primitives for describing behavioral as well as security aspects required for trading Web services.
The ontology are described in several publications which can be found
here.
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Last Release (Friday, 22 December 2006) |
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evOWLution |
| evOWLution is a software component that supports the methods for the consistent evolution of OWL ontologies. It builds on top of the KAON2 ontology management infrastructure. The implementation includes evolution strategies for various fragments of ontology languages, including OWL-DL, OWL-Lite and OWL-DLP, as well evolution strategies for logical consistency. Additionally it allows to plug-in further evolution strategies for structural consistency (to support additional sublanguages), logical consistency, and user-defined consistency. The OWL Evolution strategies can also rely on contextual information such as the confidence annotations of Text2Onto to guide the evolution process.
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Last Release (Monday, 30 October 2006) |
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FactAngler |
| FactAngler is an extensible tool for Open Information Extraction.
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FraCoSem |
| This project provides a framework for computational semantics for research and teaching purposes.
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Ontology- based Portal |
| Ontology- based PortalOntology- based PortalOntology- based PortalOntology- based PortalOntology- based PortalOntology- based Portal
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jREST |
| jREST enables developers to write REST-based web services in Java much faster than before. Simply write a class with the methods "get", "put" and/or "post". Sit back and see the automatic parameter conversion do it's work and never see a servlets source code again.
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Last Release (Tuesday, 5 June 2007) |
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KAON2Java |
| The tool creates Java API for OWL A-boxes.
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LeDA |
| LeDA (LEarning Disjointness Axioms) is a tool for the automatic generation of disjointness axioms.
Publication: Johanna Völker, Denny Vrandecic, York Sure, Andreas Hotho. Learning Disjointness. In Enrico Franconi, Michael Kifer, Wolfgang May, Proceedings of the 4th European Semantic Web Conference (ESWC'07), volume volume 4519 of Lecture Notes in Computer Science, pp. 175-189. Springer, June 2007.
A graphical user interface for LeDA is available as a plugin for the NeOn Toolkit ontology engineering environment.
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Last Release (Friday, 25 April 2008) |
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LexOnto |
| Ontology and APIs for management of ontology lexica.
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Ontology Alignment and Mapping |
FOAM, Framework for Ontology Alignment and Mapping:
The ontology alignment framework is a tool to full- or semi-automatically align two or more OWL ontologies. It is based on heuristics (similarity) of the individual entities (concepts, relations, and instances). As result we receive pairs of aligned entities. The underlying research has already been presented at different conferences, see e.g.
Happy Aligning.
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Last Release (Saturday, 11 August 2007) |
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NeOn Toolkit |
| NeOn is a 14.7 million Euros project involving 14 European partners and co-funded by the European Commission’s Sixth Framework Programme under grant number IST-2005-027595. NeOn started in March 2006 and has a duration of 4 years. Our aim is to advance the state of the art in using ontologies for large-scale semantic applications in the distributed organizations. Particularly, we aim at improving the capability to handle multiple networked ontologies that exist in a particular context, are created collaboratively, and might be highly dynamic and constantly evolving.
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Last Release (Friday, 4 July 2008) |
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Neonmodule |
| Ontology modularization is an important task in ontology engineering, maintenance and reuse. This project is to provide some main operations between two modules like union, intersection, in NeOn Toolkit.
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Ontology for Domain of Adaptive System |
| ODAS - An ontology for the Domain of Adaptive System
This ontology allows adaptive systems to exchange and reuse information. The ontology encompasses all the model dimensions known to be relevant for personalization. It comes in different versions that can be used for reasoning to achieve personalization, or simply as a common vocabulary to exchange various model information.
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Last Release (Friday, 29 February 2008) |
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OMV - Ontology Metadata Vocabulary |
| Ontologies have seen quite an enormous development and application
in many domains within the last years, especially in the context
of the next web generation, the Semantic Web. Besides the work of
countless researchers across the world, industry starts developing
ontologies to support their daily operative business. Currently,
most ontologies exist in pure form without any additional
information, e.g. authorship information, such as provided by
Dublin Core for text documents. This burden makes it difficult for
academia and industry e.g. to identify, find and apply -
basically meaning to reuse - ontologies effectively and
efficiently. Our contribution consists of a proposal for a
metadata standard, so called Ontology Metadata Vocabulary OMV.
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Last Release (Tuesday, 6 May 2008) |
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ONTHOLOGY |
| Most ontologies today exist in pure form without any additional information, e.g. authorship or domain specific information. The proposed Ontology Metadata Vocabulary OMV aims to establish a standard which enables users from academia and industry to identify, find and apply - basically meaning to reuse - ontologies effectively and efficiently. Our demo/poster contribution consists of the presentation of the up-and-running metadata portal ONTHOLOGY (``anthology of ontologies'').
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OntoCap |
| This is part of efforts in developing NeOn Toolkit
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OntoScrape |
| OntoScrape OntoScrape OntoScrape OntoScrape
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OWL Benchmarking |
| OWL benchmarking aims to provide guidance for selecting the appropriate reasoner for a given application scenario. In order to so, the experiments are done based on some datasets with different fragments such as RDFS, OWL DL. Based on the benchmark results we identify which reasoners are most adequate for which classes of ontologies and corresponding reasoning tasks.
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OWL-ODM |
| OWL-ODM provides software tools based on the OWL Object Definition Metamodel (ODM) to allow interoperability of OWL ontologies with MOF-compatible software environments. This includes the ODM itself, a UML profile for visual modeling of ontologies and a converter from EMF models to OWL.
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Last Release (Thursday, 31 July 2008) |
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Pattern Learner for Ontology Learning |
Pronto, is a bootstrapping based relation extraction system. Given a small set of example facts (e.g. "Paris is located in France.", "Bejing is located in China") it is able to come up with a large amount of facts of that kind (e.g. a huge lists of cities and where they are located). To do so, Pronto considers the way the relations are mentioned in the text (i.e. what stands around "Paris" and "France" when these words occurr together). We set up Pronto to discover relations in this test Wikipedia between page titles and hyperlinks. When it discovers new facts, Pronto generates the questions, you will find on the bottom of the pages. The answers you give to these questions are used as confirmation of the results before they are written into the wiki and as feedback to improve output in the next iteration of the system.
If you are interested in the topic, you are invited to read the following research paper:
Sebastian Blohm, Philipp Cimiano: Using the Web to Reduce Data Sparseness in Pattern-based Information ExtractionIn Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD). Springer , Warsaw, Poland, September 2007 (http://www.aifb.uni-karlsruhe.de/Publikationen/showPublikation?publ_id=1507).
This work was co-funded by the X-Media
project (www.x-media-project.org) sponsored by the European
Commission as part of the Information Society Technologies
(IST) program under EC grant number IST-FP6-
026978.
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pronto4xmedia |
| In this project, our current activities in pattern based information extraction are integrated into the X-Media architecture.
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qbmc |
| The purpose of the QBMC is to implement a FCA browsing framework using the techniques developed around the query based multicontext..
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Scraper |
| Automatic data extraction from HTML tables using xslt stylesheets.
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SEAL - Semantic Portal |
| SEAL aims to use ontologies as key elements for managing community Web sites and Web portals. The ontology supports queries to multiple sources. It also uses schema information, allowing automatic generation of navigational views (such as navigation hierarchies and mixed ontology and content-based presentation. The core idea behind SEAL is that semantic portals for a community of users contributing and consuming information require Web site management and Web information integration. To reduce engineering and maintenance effort, SEAL uses an ontology for semantic integration of existing data sources and for Web site management and presentation to the outside world. SEAL exploits this ontology to offer mechanisms for acquiring, structuring, and sharing information through semantic annotations between human and machine agents.7 Thus, SEAL combines the advantages of Web site management on the one hand and Web information integration on the other hand.
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SeMalAn |
| (Se)mantic (Ma)iling (L)ist (An)alyser - Got ever lost in following a heated mailing list discussion? Everybody quoting small snippets from somebody. Semalan helps out. It extracts all references and shows You a clean web view on the discussion.
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Semantic Auction |
| Implementation of an auction plattform for trading semantically described goods or services. An auction schema is enriched by a set of components enabling semantics based matching as well as price-based allocations. Moreover, an approach for reducing the complexity of the auction system by means of background knowledge is proposed.
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SemIPort Project |
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The SemIPort (Semantic Methods and Tools for Information Portals) project develops innovative methods and tools for creating and maintaining semantic information portals for scientific communities. The methods combine techniques developed in the areas of metadata, knowledge management, knowledge representation, personalization, and data visualization.
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SemVersion - RDF Versioning |
| SemVersion allows scalable RDF versioning in Java. By using a quad store (aka named graphs aka contexts) it addresses individual RDF models. The model management is done by http://rdf2go.ontoware.org. SemVersion offers rich object-oriented meta-data management and versioning processes (commit, branch, merge, structual diff, semantic diff) on models.
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Last Release (Friday, 19 May 2006) |
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SemWiki |
| SemWiki is a true RDF wiki. All wiki content is stored and processed as RDF.
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OntoWare-Server |
| The server project realising OntoWare.org as collaborative project management environment for the Semantic Web.
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sirdf |
| Simplified RDF API (SiRDF) allows users to work on a simpler, but equivalent data model. This will bring RDF to the masses.
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SWIFT |
| Semantic Wiki Interchange FormaT (SWIFT). RDF Schema for full export/import of Wiki content. Currently maps SnipSnap, MediaWiki and JSPWiki.
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SWRC Ontology |
| The SWRC (Semantic Web for Research Communities) is an
ontology for modeling entities of research communities such
as persons, organisations, publications (bibliographic
metadata) and their relationships.
It is used in numerous applications and projects including
the AIFB
portal, Bibster and the SemIPort
project.
More details about the modeling of the SWRC ontology can be
found in:
York Sure, Stephan Bloehdorn, Peter Haase,
Jens Hartmann, Daniel Oberle.
The SWRC Ontology - Semantic Web for
Research Communities. In Proceedings of the 12th
Portuguese Conference on Artificial Intelligence (EPIA 2005).
Springer, Covilha, Portugal, December 2005.
Further Details
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Last Release (Friday, 29 June 2007) |
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TARTAR |
TARTAR - Transforming ARbitrary TAbles into fRames
Efficient automatic information handling has become increasingly important in information society. Most information on the Web is presented in the form of semi-structured or unstructured documents, encoded as a mixture of loosely structured natural language text and template units. The lack of metadata, which would precisely annotate the structure and semantics of documents, and ambiguity of natural language makes automatic computer processing very complex. The Semantic Web aims to overcome this bottleneck.
The contribution of this software package presents a novel method for automatic generation of knowledge models such as ontologies from arbitrary tabular structures found on the Web. The method is based on a grounded cognitive table model introduced by Hurst. The methodology is stepwise instantiated in four steps. In the first step, a table is transformed into regular matrix form. In the following two steps the table is handled from a structural and functional, and in the last step from a semantic point of view. The outcome of the method is threefold: a knowledge frame, an ontology, and a knowledge base, all encoded in an F-Logic representation language. A system is implemented in Java language, and consists of approximately 15.000 lines of code. In order to fully exploit (i.e. for query answering) the outcomes produced by the system, one can use an inference engine that supports F-Logic, like OntoBroker.
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Text2Onto |
| Text2Onto is the official successor of TextToOnto, a framework for ontology learning from text.
Publication: Philipp Cimiano, Johanna Völker. Text2Onto - A Framework for Ontology Learning and Data-driven Change Discovery. In Andres Montoyo, Rafael Munoz, Elisabeth Metais, Proceedings of the 10th International Conference on Applications of Natural Language to Information Systems (NLDB), volume 3513 of Lecture Notes in Computer Science, pp. 227-238. Springer, Alicante, Spain, June 2005.
In addition to the standalone version of Text2Onto's graphical user interface, an Eclipse plugin has been published lately, which enables a tighter integration of Text2Onto with the editing and maintenance facilities of the NeOn Toolkit ontology engineering environment.
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Last Release (Thursday, 7 August 2008) |
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tiger214 |
| Tiger214 is a small tool to convert Java Tiger (1.5.x) source code to Java 1.4 source code - hence the name 'tiger 2 14'. It exploits a feature of the 1.5-compiler to compile into source code and converts 1.5-generic into the correct 1.4-syntax. After this, some rexexps fine-tune the code to handle autoboxing for-each-loops are not handled at all.
Note: you can contribute to the code in a wiki-like manner. Goto to the CVS with username 'wikidev' and pass 'wikidev'. You have full write-rights. You can also check your emails at wikideveloper@gmail.com with the pass 'wikidev123'. This is an experiment :-)
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Wiki Interchange Format |
| Data exchange between wikis was always a problem. Now, with the Wiki Interchange Format (WIF), page migration is possible. This project aims to provide a server, capable of logging in to two wikis and exporting wiki A into WIF, and then importing WIF into wiki B.
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XXploreKnow! |
It supports exploration, seach and analysis of semantic data. Data are elements of RDF/OWL ontologies, which are manually added to the system using an annotation tool or extracted from documents and web pages. For search, a combination of semantic search and classical index-based search is also supported.
This work was co-funded by the X-Media
project (www.x-media-project.org) sponsored by the European
Commission as part of the Information Society Technologies
(IST) program under EC grant number IST-FP6-
026978.
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Last Release (Friday, 11 April 2008) |
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