Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Ontology on Semantic Web
Date
2007-10-24
Author
Doğandağ, Semra
Alpaslan, Ferda Nur
Metadata
Show full item record
Item Usage Stats
160
views
0
downloads
Cite This
OWL (Web Ontology Language) is a markup ontology language based on Description Logics (DL). It is about to become standard ontology language on the web, therefore different communities try to export their ontologies to OWL. Although OWL is highly expressive, it is not always easy to map a formalism to another one. There are some important conceptual modeling problems that should be revisited by OWL. In this paper we have chosen MPEG-7 as an example meta-language. MPEG-7 is written using XML-Schema. We discussed the problems we came across while mapping MPEG-7 to OWL and gave a conceptual mapping for a part of MPEG-7. OWL standard is evolving and we claim that with the employment of new standards a complete mapping from MPEG-7 to OWL will be possible. This study is undertaken within the METU-ISTEC Project (TUBITAK- EEEAG 105E068), supported by the Scientific and Technical Research Council of Turkey.
Subject Keywords
MPEG-7
URI
https://hdl.handle.net/11511/85993
http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=5&SID=D3sjW9p8Bn6iOx9imFy&page=1&doc=1
Collections
Unverified, Book / Book chapter
Suggestions
OpenMETU
Core
Ontology learning and question answering (qa) systems
Başkurt, Meltem; Alpaslan, Ferda Nur; Department of Computer Engineering (2010)
Ontology Learning requires a deep specialization on Semantic Web, Knowledge Representation, Search Engines, Inductive Learning, Natural Language Processing, Information Storage, Extraction and Retrieval. Huge amount of domain specific, unstructured on-line data needs to be expressed in machine understandable and semantically searchable format. Currently users are often forced to search manually in the results returned by the keyword-based search services. They also want to use their native languages to expr...
Multiple Description Coding of 3D Dynamic Meshes Based on Temporal Subsampling
Bici, M. Oguz; Akar, Gözde (2010-01-21)
In this paper, we propose a Multiple Description Coding (MDC) method for reliable transmission of compressed time consistent 3D dynamic meshes. It trades off reconstruction quality for error resilience to provide the best expected reconstruction of 3D mesh sequence at the decoder side. The method is based on partitioning the mesh frames into two sets by temporal subsampling and encoding each set independently by a 3D dynamic mesh coder. The encoded independent bitstreams or so-called descriptions are transm...
VERTEX PARTITIONING BASED MULTIPLE DESCRIPTION CODING OF 3D DYNAMIC MESHES
Bici, M. Oguz; Stefanoski, Nikolce; Akar, Gözde (2009-05-06)
In this paper, we propose a Multiple Description Coding (MDC) method for reliable transmission of compressed time consistent 3D dynamic meshes. It trades off reconstruction quality for error resilience to provide the best expected reconstruction of 3D mesh sequence at the decoder side. The method is based on partitioning the mesh vertices into two sets and encoding each set independently by a 3D dynamic mesh coder. The encoded independent bitstreams or so-called descriptions are transmitted independently. T...
Probabilistic learning of Turkish morphosemantics by latent syntax
Üstün, Ahmet; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2017)
The language processing capability of humans is highly dependent on the transparent interface between syntax and semantics which is formalized as the grammar. Morphology also interferes with this interface, in languages having rich morphology such as Turkish. This thesis aims to discover word semantics in Turkish from the compositional morphosemantics by underlying latent syntax. A computational model has been developed to learn a morpheme lexicon in which each morpheme contains semantic information in logi...
Enriching ebXML registries with OWL ontologies for efficient service discovery
Doğaç, Asuman; Kabak, Y; Laleci, GB (2004-03-29)
Web services, like their real life counterparts have several properties and thus truly useful semantic information can only be defined through standard ontology languages. Semantic Web is an important initiative in this respect. However although service registries are the major mechanisms to discover services, the semantic support provided by service registries is completely detached from the Semantic Web effort.
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Doğandağ and F. N. Alpaslan,
Ontology on Semantic Web
. 2007, p. 1586.
