Flexible Querying Using Structural and Event Based Multimodal Video Data Model

Oztarak, Hakan; Yazıcı, Adnan

doi:10.1007/11766254_7

Cited by 5 publications

(1 citation statement)

References 10 publications

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“…By comparing corresponding approaches with our work in terms of their querying capabilities, we have: Our the approach [3] extended by SQL is the simplest way to represent fuzzy information but its capabilities to support (fuzzy) spatiotemporal queries is the most limited; the approach [29] extended by SQL have adequate support for all measures in spatial queries, temporal instance queries, and spatiotemporal simple queries, but its capabilities to support fuzziness, temporal period queries, spatiotemporal range queries, and spatiotemporal behavior queries are limited; the approach [42] extended by SQL have adequate support for all measures in spatial and temporal queries, spatiotemporal simple queries, and spatiotemporal range queries, but its capabilities to support fuzziness and spatiotemporal behavior queries are limited; the approach [6] extended by XPath have adequate support for fuzziness, but its capabilities to support (fuzzy) spatiotemporal queries are limited; although the approach [16] extended by XQuery can perform fuzzy queries, its queries only can handle non-spatiotemporal information so that it is not support for fuzzy queries of fuzzy spatiotemporal data. By comparisons, our work has adequate support for all measures in categories.…”

Section: Comparative Studymentioning

confidence: 99%

Querying fuzzy spatiotemporal data using XQuery

Bai

2014

ICA

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How to accurately handle querying criteria based on user's preferences has become a key technology for querying fuzzy spatiotemporal data, typically collected by modern monitoring devices such as GPS receivers and sensors. However, although fuzzy logic is incorporated in querying fuzzy spatiotemporal data and querying fuzzy data in XML, relatively little work has been carried out in querying fuzzy spatiotemporal data in XML. In this paper, we propose an approach for querying fuzzy spatiotemporal data using XQuery. On the basis of its architecture, we make extensions to XQuery language. The extensions consist of the new xs: truth data type intended to represent gradual truth degrees, and the new Val element and the new Poss attribute to handle satisfaction degrees. Furthermore, fuzzy spatiotemporal linguistic terms are extended to declare fuzzy terms and use them in querying expressions. Additionally, FLWOR are extended to support fuzzy spatiotemporal queries. After extensions of XQuery on fuzzy spatiotemporal data, we present real case querying examples, discuss crucial details of their processing, and perform evaluations of each querying example. Finally, the comparative study demonstrates the advantages of our approach.

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Section: Comparative Studymentioning

confidence: 99%

Querying fuzzy spatiotemporal data using XQuery

Bai

2014

ICA

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Flexible Querying Using Structural and Event Based Multimodal Video Data Model

Oztarak

Yazıcı

2006

Flexible Query Answering Systems

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Structural and Event Based Multimodal Video Data Modeling

Oztarak

Yazıcı

2006

Advances in Information Systems

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Investments on multimedia technology enable us to store many more reflections of the real world in digital world as videos. By recording videos about real world entities, we carry a lot of information to the digital world directly. In order to store and efficiently query this information, a video database system (VDBS) is necessary. In this thesis work, we propose a structural, event based and multimodal (SEBM) video data model for VDBSs. SEBM video data model supports three different modalities that are visual, auditory and textual modalities and we propose that we can dissolve these three modalities with a single SEBM video data model. This proposal is supported by the interpretation of the video data by human. Hence we can answer the content based, spatio-temporal and fuzzy queries of the user more easily, since we store the video data as the way that s/he interprets the real world data. We follow divide and conquer technique when answering very complicated queries. We have implemented the SEBM video data model in a Java based system that uses XML for representing the SEBM data model and Berkeley XML DBMS for storing the data based on the SEBM prototype system.

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Flexible Querying Using Structural and Event Based Multimodal Video Data Model

Cited by 5 publications

References 10 publications

Querying fuzzy spatiotemporal data using XQuery

Querying fuzzy spatiotemporal data using XQuery

Flexible Querying Using Structural and Event Based Multimodal Video Data Model

Structural and Event Based Multimodal Video Data Modeling

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