Novel Superconducting Tunneling Structures

Contains description of one research project.Joint Services Electronics Program Contract DAAL03-89-C-000

NCBO Ontology Recommender 2.0: An Enhanced Approach for Biomedical Ontology Recommendation

Biomedical researchers use ontologies to annotate their data with ontology terms, enabling better data integration and interoperability. However, the number, variety and complexity of current biomedical ontologies make it cumbersome for researchers to determine which ones to reuse for their specific needs. To overcome this problem, in 2010 the National Center for Biomedical Ontology (NCBO) released the Ontology Recommender, which is a service that receives a biomedical text corpus or a list of keywords and suggests ontologies appropriate for referencing the indicated terms. We developed a new version of the NCBO Ontology Recommender. Called Ontology Recommender 2.0, it uses a new recommendation approach that evaluates the relevance of an ontology to biomedical text data according to four criteria: (1) the extent to which the ontology covers the input data; (2) the acceptance of the ontology in the biomedical community; (3) the level of detail of the ontology classes that cover the input data; and (4) the specialization of the ontology to the domain of the input data. Our evaluation shows that the enhanced recommender provides higher quality suggestions than the original approach, providing better coverage of the input data, more detailed information about their concepts, increased specialization for the domain of the input data, and greater acceptance and use in the community. In addition, it provides users with more explanatory information, along with suggestions of not only individual ontologies but also groups of ontologies. It also can be customized to fit the needs of different scenarios. Ontology Recommender 2.0 combines the strengths of its predecessor with a range of adjustments and new features that improve its reliability and usefulness. Ontology Recommender 2.0 recommends over 500 biomedical ontologies from the NCBO BioPortal platform, where it is openly available.Comment: 29 pages, 8 figures, 11 table

GROUPING NARROWBAND INTERNET OF THINGS END POINTS WITH CONTROL PACKETS BASED ON MULTICAST PACKET DELIVERY FUNCTIONALITY FROM ENODEB

Techniques are described herein to create a multicast Narrowband Internet of Things (NB-IOT) User Equipment (UE) group based on a set of four attributes that are not defined in the 3rd Generation Partnership Project (3GPP) Release 14 Standard/Specification. This NB-IOT UE grouping for multicast applications may assist indoor NB-IOT eNodeB (eNB) based deployments

SERVICE LEVEL AGREEMENT ENFORCEMENT AND MEASUREMENT OF NETWORK SLICES

The embodiments presented herein disclose a method to predict, score, and ultimately select networks such as radio access networks, as well as heterogeneous network layers such as macro, piccolo, and the like. Technologies that are optimally able to meet service level agreements for different types of network slices, such as enterprise Wi-Fi and SP 3GPP, may also be selected

When hydrospheres collide: lessons in practical environmental ontologies

Proceedings of the Seventh International Conference on Hydroscience and Engineering, Philadelphia, PA, September 2006. http://hdl.handle.net/1860/732The Marine Metadata Interoperability Project was created in 2004 with NSF funding. Its mission was to create a community of metadata-aware scientists and data managers, and provide leadership toward interoperable metadata solutions. Recently, MMI brought together a number of international participants, with the eventual objective of developing a fully rationalized ontology of data source types ("sensors"). First, however, the team focused on an ontology for environmental science platforms, with a particular focus on marine platforms. The team believed a platforms ontology was simpler, and knew it was a needed reference in the sensor ontology effort. In addition, the platform ontology could be put to use fairly quickly by a number of interested data system developers. The objectives, and the activities and associated documents are at the site http://marinemetadata.org/sourcesont. This paper describes the reality of working with words in a computational context, from the point of view of a computer scientist and data manager who is not an ontologist. It also provides an alternative view on approaches to developing an upper ontology for a given topic