Semantic Web and Database Conferences by gox19993


									     Semantic Web and
    Database Conferences
          SWDB’06, April 8th 2006

              I. Budak Arpinar
LSDIS Lab, Department of Computer Science,
            University of Georgia
Semantic Web
• The Semantic Web is an extension of the current
  Web in which information is given well-defined
  meaning, better enabling computers and people
  to work in cooperation.
   – Usually through use of ontologies in RDF(S) or OWL
• Ultimate goal - effective and efficient global
  knowledge exchange.
   – Allows to find, share, and combine information more
                                                              Report from the
                                                              Semantic Web
    The Semantic Web triangle                                 Working Symposium
                                                              30. July - 1. August,
                Software & Knowledge Engineering              I. Cruz, S. Decker,
          (Software Components, Agents, Process Modeling)     J. Euzenat, D.

                                             Libraries of Components,
 Reasoning, Planning,                        Interoperation for Web Services

           AI                                      DB
(Knowledge Representation,        (Semi-structured data, Interoperability)
                   Ontology Languages & Semi-structured Data
                   Ontology Transformation
Challenge – A personal view
• The level of interaction between Database and
  Semantic Web communities is not at the desired
• Semantic Web community tries to exploit
  Database techniques: query languages, indexing,
  storage etc.
• Database community’s use of Semantic Web
  techniques is limited.
  – Consequently, major Database conferences
    (SIGMOD/VLDB/ICDE) include a few papers on the
    Semantic Web.
Some Examples (2006)
• ICDE’06:
  – Industrial Session: RDF, Ontologies, Metadata
     • RDF Object Type and Reification in the Database
     • RDF-based Relational Database Integration and its
       Application in Traditional Chinese Medicine
     • Supporting Keyword Columns with Ontology-based
       Referential Constraints in DBMS
     • Experiment Management with Metadata-based Integration
       for Collaborative Scientific Research
  – 2 workshops: SENS’06, SWDB’06

• PODS’06:
  – A recent interest on the Semantic Web:
     • Tutorial: Enrico Franconi on the Semantic Web
Some Examples (2005)
• ICDE’05:
   – Papers:
      • SemCast: Semantic Multicast for Content-Based Data
      • Bootstrapping Semantic Annotations for Content-Rich HTML
• SIGMOD’05:
   – Papers:
      • Reference Reconciliation in Complex Information Spaces
      • Semantics and Evaluation Techniques for Window
        Aggregates in Data Streams
   – Industrial Session:
      • Metadata Management for Data Integration
   – Panel:
      • Databases and Information Retrieval: Rethinking the Great
Some Examples (2005)
• VLDB’05:
  – Papers:
    • Automatic Composition of Transition-based Semantic
      Web Services with Messaging
    • An Efficient SQL-based RDF Querying Scheme
    • Semantic Adaptation of Schema Mappings when
      Schemas Evolve
Semantics and DB Community
• Semantics has not been new to the Database community.
   – Semantics in data models was studied intensively in the
     1980s, and applied to problems such as query processing,
     view management, schema transformation, schema
     integration and transaction processing.
• Semantic heterogeneity and interoperability have been
  studied as part of all major information systems
  architectures during the last three decades, including
  federated, mediator, and information brokering
• Many projects in information interoperability and
  integration have addressed semantic heterogeneity.
Stefan Decker’s Blog
• The database community is very heavily invested
  in the XML stack.
• Query processing and data management
  questions relating to the RDF stack are so far
  ignored by the Database community.
• Data management solutions including query
  languages for RDF are mostly developed inside
  the Semantic Web community without much
  involvement from Database people.
Database Research Report
• Final Report, The Lowell Database Research Self-
  Assessment Meeting, May 2003 (in Section 3.11:
  New User Interfaces):
  – "Perhaps most interesting is the research opportunities
    suggested by the term “Semantic Web.” While it may
    be unclear what the concept truly entails, much of the
    recent work has centered on “ontologies.” … The
    database community should be looking for opportunities
    to exploit these developments in future database
    management systems."
• How to promote a better dialogue among
  Semantic Web and Database communities
  with a common goal of building better and
  more efficient Web information systems?
• How to improve presence of Semantic
  Web (papers) in major Database
•   Vipul Kashyap (Partners HealthCare)
•   Shamkant Navathe (GA Tech)
•   Susie Stephens (Oracle)
•   Paolo Atzeni (Universita Roma Tre)
•   Amit Sheth (LSDIS, UGA)
Senior DB Researchers
• "From Databases to Dataspaces: A New
  Abstraction for Information Management" by
  Michael Franklin, Alon Halevy and David Maier
  (Sigmod Record, Dec. 2005)
  – "Recent developments in the field of knowledge
    representation (and the Semantic Web) offer two main
    benefits as we try to make sense of heterogeneous
    collections of data in a dataspace: simple but useful
    formalisms for representing ontologies, and the concept
    of URI (uniform resource identifiers) as a mechanism for
    referring to global constants on which there exists some
    agreement among multiple data providers."
Other Issues
• Perception of SW by DB-community as too logics-based or
    – is OWL really a "logics ontology language"?
• XML serialization of RDF does not build upon (or exploit) XML
  technologies, such as XQuery, XPath, XSLT, DTD, XML-Schema –
    – SW has missed on most advances in XML
• SW involves various areas, but full adoption is still years away -
  Examples: IR, DB, KR, AI, Web research
• The future?
    – A rebirth of SW in the form of 'semantics science' that would be
      applicable in various areas (ie. DB) - semantics as
      complementary/supporting technology - implementation neutral, is it
      worth pushing for SW query languages such as SPARQL vs. extensions
      on SQL, such as Oracle's RDF datatypes
• Adoption is expected first from specialized domains -
  bioinformatics, farmaceutical research - DB+SW opportunities on
  high volume, rich data

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