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  1. Chapter and Conference Paper

    Abstract Meaning Representations as Linked Data

    The complex relationship between natural language and formal semantic representations can be investigated by the development of large, semantically-annotated corpora. The “Abstract Meaning Representation” (AMR...

    Gully A. Burns, Ulf Hermjakob, José Luis Ambite in The Semantic Web – ISWC 2016 (2016)

  2. Chapter and Conference Paper

    Leveraging Linked Data to Discover Semantic Relations Within Data Sources

    Map** data to a shared domain ontology is a key step in publishing semantic content on the Web. Most of the work on automatically map** structured and semi-structured sources to ontologies focuses on seman...

    Mohsen Taheriyan, Craig A. Knoblock, Pedro Szekely in The Semantic Web – ISWC 2016 (2016)

  3. Chapter and Conference Paper

    Finding Concept Coverings in Aligning Ontologies of Linked Data

    Despite the recent growth in the size of the Linked Data Cloud, the absence of links between the vocabularies of the sources has resulted in heterogenous schemas. Our previous work tried to find conceptual map...

    Rahul Parundekar, Craig A. Knoblock in The Semantic Web: ESWC 2012 Satellite Even… (2015)

  4. Chapter and Conference Paper

    A Graph-Based Approach to Learn Semantic Descriptions of Data Sources

    Semantic models of data sources and services provide support to automate many tasks such as source discovery, data integration, and service composition, but writing these semantic descriptions by hand is a ted...

    Mohsen Taheriyan, Craig A. Knoblock, Pedro Szekely in The Semantic Web – ISWC 2013 (2013)

  5. Chapter and Conference Paper

    Semi-automatically Map** Structured Sources into the Semantic Web

    Linked data continues to grow at a rapid rate, but a limitation of a lot of the data that is being published is the lack of a semantic description. There are tools, such as D2R, that allow a user to quickly co...

    Craig A. Knoblock, Pedro Szekely in The Semantic Web: Research and Applications (2012)

  6. Chapter and Conference Paper

    Discovering Concept Coverings in Ontologies of Linked Data Sources

    Despite the increase in the number of linked instances in the Linked Data Cloud in recent times, the absence of links at the concept level has resulted in heterogenous schemas, challenging the interoperability...

    Rahul Parundekar, Craig A. Knoblock, José Luis Ambite in The Semantic Web – ISWC 2012 (2012)

  7. Chapter and Conference Paper

    Rapidly Integrating Services into the Linked Data Cloud

    The amount of data available in the Linked Data cloud continues to grow. Yet, few services consume and produce linked data. There is recent work that allows a user to define a linked service from an online ser...

    Mohsen Taheriyan, Craig A. Knoblock, Pedro Szekely in The Semantic Web – ISWC 2012 (2012)

  8. Chapter and Conference Paper

    Linking and Building Ontologies of Linked Data

    The Web of Linked Data is characterized by linking structured data from different sources using equivalence statements, such as owl:sameAs, as well as other types of linked properties. The ontologies behind th...

    Rahul Parundekar, Craig A. Knoblock, José Luis Ambite in The Semantic Web – ISWC 2010 (2010)

  9. No Access

    Article

    Composing, optimizing, and executing plans for bioinformatics web services

    The emergence of a large number of bioinformatics datasets on the Internet has resulted in the need for flexible and efficient approaches to integrate information from multiple bioinformatics data sources and ...

    Snehal Thakkar, José Luis Ambite, Craig A. Knoblock in The VLDB Journal (2005)

  10. No Access

    Chapter and Conference Paper

    Integration of Heterogeneous Knowledge Sources in the CALO Query Manager

    We report on our effort to build a real system for integrating heterogeneous knowledge sources with different query answering and reasoning capabilities. We are conducting this work in the context of CALO (Cog...

    José Luis Ambite, Vinay K. Chaudhri in On the Move to Meaningful Internet Systems… (2005)