UMBC ebiquity
Ebiquity Semantic Web Meetup, 6-8pm Tue 11/15

Ebiquity Semantic Web Meetup, 6-8pm Tue 11/15

Tim Finin, 2:26pm 11 November 2011

The UMBC Ebiquity Lab is hosting the November meeting of the Lotico Central Maryland Semantic Web Meetup from 6:00-8:00 pm on Tuesday November 15 in room 456 of the ITE building (directions).

“This is free social network and meeting community open to industry, government and academia. The goal of the organizers is to create a vendor neutral environment for open discussion and provide the membership with a valuable resource of information on industry trends and ongoing research.”

All are welcome. If you want to attend, please join the Central MD Semantic Web Meetup group and RSVP. The meeting will start with a pizza social from 6:00pm to 6:45pm and then continue with a series of short presentations of current Semantic Web research being done in our lab.

  • Tim Finin: introduction and overview
  • Laura Zavela: Mobile, collaborative, context-aware systems

    slides

    The Semantic Web provides the technology and knowledge constructs to create a rich notion of context that goes beyond current networking applications focusing mostly on location. The context model includes location and surroundings, the presence of people and devices, inferred activities and the roles people fill in them.

  • Varish Mulwad: Automatically generating linked data from tables

    slides

    Evidence for a table’s meaning can be found in its metadata but currently requires human interpretation. We describe techniques grounded in graphical models and probabilistic reasoning to infer meaning associated with a table. Using background knowledge from the Linked Open Data cloud, we automatically infer the semantics of column headers, table cell values (e.g., strings and numbers) and relations between columns and represent the inferred meaning as graph of RDF triples.

  • Lushan Han: A Question Answering System for DBpedia

    slides

    Users need better ways to explore linked open data collections and obtain information from it. Using SPARQL requires not only mastering its syntax and semantics but also understanding the RDF data model, the ontology used by the DBpedia, and URIs for entities of interest. Natural language question answering systems solve the problem, but these are still subjects of research. We are developing a compromise approach in which non-experts specify a graphical “skeleton” for a query and annotate it with freely chosen words, phrases and entity names. The combination reduces ambiguity and allows us to reliably produce an interpretation that can be translated into SPARQL.

  • Karuna Joshi: Smarter semantic cloud services

    slides

    We propose a semantically rich, policy-based framework to automate the lifecycle of cloud services. We have divided the IT service lifecycle into the five phases of requirements, discovery, negotiation, composition, and consumption. We detail each phase and describe the high level ontologies that we have developed to describe them. Our research complements previous work on ontologies for service descriptions in that it goes beyond simple matchmaking and is focused on supporting negotiation for the particulars of IT services.

See this map for the building location and information on visitor parking. The recommended lot is just across from the entrance to UMBC’s campus from I-95. To access it, turn right and then turn left at the first stop sign onto Administration Drive. You can park on the lower level after 3:30pm by putting two quarters into the box at the gate. The upper level has parking meters that take quarters ($1/hr) and a change machine is located near the entrance.


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