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Ontologies & Datasets


Semantic Web Topics Ontology

The Semantic Web Topics ontology is focused on metadata for research topics, techniques and projects in the Semantic Web Area. Intended for applications in the areas of Expert finder systems, Conference management systems, and the semantic annotation of topics/projects in text; this ontology is under constant collaborative development. An application (also under development) uses metadata in the ontology for browsing through webpages (example).

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Active Semantic Documents: Medical Diagnosis/Procedure Ontology

Developed as part of the Active Semantic Document project with the Athens Heart Center, this ontology includes concepts such as medical conditions, treatment, ICD-9, CPT, etc.

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Active Semantic Documents: Medical Practice Ontology

This ontology was created as part of the Active Semantic Document project with the Athens Heart Center. This ontology includes concepts such as practitioners, patients, insurance, facilities, etc.

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Active Semantic Documents: Prescription Drug Ontology

Drug Ontology developed for the Active Semantic Document project. Contains important concepts such as generic drugs, brand names, classes of drugs, drug-drug interactions, drug-allergy interactions.

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Glycomics: EnzyO (Enzyme Ontology)

Enzyme activity plays a crucial role in the synthesis of glycans. However, we believe that enzymes, as a subset of proteins, form a separate domain of interest. For this reason, rather than extending GlycO, we enriched it through the development of a domain specific ontology, EnzyO. EnzyO (for Enzyme Ontology) has been populated with rich descriptions of enzyme structures and reactions, thus embodying a deep knowledge of the domain. Many disparate sources of information were used during the creation and population of EnzyO, thus it may be held as a comprehensive source of knowledge that will allow for the efficient retrieval of semantically relevant enzyme information. The current version of EnzyO has a total of over 8000 enzyme and reaction classes. The downloadable version contains only a subset of reactions and enzymes that are involved in the N-Glycan biosynthesis pathway. Since the two domains are so highly intertwined, GlycO imports EnzyO.

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Glycomics: GlycO (Glycomics Ontology)

Currently, the GlycO ontology contains over 750 classes that correspond to concepts that describe the structural features of glycans. Automated protocols are being used to populate GlycO. In order to harvest this data, we use the Semagix Freedom toolkit that allows extraction of data from semi-structured internet sources, such as CarbBank, KEGG and SweetDB.

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Glycomics: ProPreO (Proteomics Process Ontology)

ProPreO, part of the ontology suite, is being developed as a comprehensive process ontology modeling proteomics experiment. The current ontology metrics for ProPreO feature 290 classes and 189 slots; including facets and instances add up to a total of 495 frames. ProPreO forms the basis of our research initiative in semantic annotation of scientific data, that is, generation of metadata for diverse classes of proteomics experimental data.

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Meteor-S: RosettaNet Ontology

RosettaNet Ontology has been developed from RosettaNet PIPs.

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Meteor-S: SUMO Finance Ontology

Meteor-S SUMO Finance Ontology was created by converting SUMO financial ontology from KIF to OWL.

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Meteor-S: WS-Agreement Ontology

WS-Agreement Ontology has been developed from the WS-Agreement Specification

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SemDis: Spatio-temporal datasets

As part of our work on Semantic Discovery project and spatio-temporal data we prepared RDF datasets of spatial features and events. These datasets contain information about spatial features such as counties, roads and streets, and water features as well as event data sets that contain both spatial and temporal information.

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SemDis: Sweto (Semantic Web Technology Evaluation Ontology)

SWETO is intended for ontology benchmark purposes, and we continue to populate the ontology with diverse knowledge sources thereby extending it into multiple domains. The current version is populated with well over 800,000 entities and over 1.5 million relationships, with the next larger release due out soon. SWETO access is available through browsing, XML serialization, and will soon be available though a Web service. SWETO has been used internally (LSDIS Lab) for discovery and ranking of semantic associations. Externally, our collaborators at UMBC are exploring trust extensions for SWETO, whereas within industry applications, Semagix uses it for evaluating fast semantic metadata extraction and enhancement in the Marianas SDK.

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SemDis: Sweto-dblp (Semantic Web Technology Evaluation Ontology - dblp subset)

SWETO-Dblp is a continuation of SWETO (ontology benchmark) focused on a bibliography of Computer Science publications. The bilbliograpy used is DBLP and RDF is used as knowledge representation language. SWETO-Dblp is created from a large XML document available from DBLP. The transformation to RDF is done by a Java program that incorporates other datasets to enrich the resulting ontology. These datasets include metadata of universities, publishers and organizations; some of these datasets are themselves encoded using RDF. The current version is populated with well over 700,000 entities such as Authors and Publications. The schema part of the ontology utilizes concepts and relations from FOAF, DC and OPUS, which is an ontology used by the LSDIS Lab Library. SWETO-Dblp access will be available through browsing, XML serialization and though a Web service. SWETO-Dblp has been used internally (LSDIS Lab) for discovery and ranking of semantic associations.

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