Publications


Conceptualizing representational semantics: a multiple layered spatial data integration framework based on Ontology

posted Oct 31, 2012, 6:43 AM by Chih Yuan Chen   [ updated Dec 3, 2012, 5:38 PM by Byounghyun Yoo ]

Chen-Chieh Feng and Yu Liang, GSDI 12 World Conference, Singapore, 19-22 October, 2010.

Abstract: Domain ontologies have been used as an effective mean to reconcile the heterogeneities between different spatial data sources. Most domain ontologies focus on the concepts from real world, but do not specify the semantics of the way to represent them. However, heterogeneities exist in forms of different frameworks(standards), data models (schemas), measurement backgrounds, algorithms, spatial-temporal features, etc, which makes seamless data integration a non-trivial work. Even if we have solved the problem of identifying domain concepts from different sources, we still have to deal with fusing the data associated with the same concept but from different representations. Representational semantics are about the concepts which give the semantic of how we measure and organize the result of observation of concepts from real world, e.g. property and relation, unit, coordinate system and process model. They are, while always implicit in all kinds of data and systems, very important for engineers responsible for the data management and integration, and users who want to evaluate the viability of the data for a specific task, for their indispensability for supporting semantic alignment, data structure conversions, and mathematical computations, all of which are crucial steps toward a successful integration of spatial databases. In this paper we argued that both domain ontologies and their conceptual representations are essential to spatial data integration and assuming complimentary roles. We proposed to capture and formalize representational semantics for the spatial data, together with domain ontologies, to facilitate semantic-dependent data integration with heterogeneous data sources and processing models. By separating the two-level ontologies, more restrictions and axioms can be added to them, the enhanced reasoning ability can improve the seamless spatial data integration. We studied several cases to show how to leverage representational ontologies to solve the data integration problems.

Keywords: Representational ontology, reasoning, multiple-layer

Conference website: http://www.gsdi.org/gsdiconf/gsdi12/

Ontology-based scientific metadata infrastructure

posted Oct 31, 2012, 6:23 AM by Chih Yuan Chen   [ updated Nov 1, 2012, 1:43 PM by Byounghyun Yoo ]

Chen-Chieh Feng and Yu Liang, 2010 Association of American Geographers' Annual Meeting(AAG 2010), Washington DC, 14-18 April, 2010.

Abstract: The paper investigates how data generated by various environmental sensors can be efficiently integrated for interdisciplinary modeling efforts. Specifically, it aims to examine an operational, ontology-based system that supports semantic queries, data retrievals, and provenance recordings for environmental modeling using data from disparate sources and domains. The research advances our understanding of how existing ontologies and ontology alignment methodologies can be adapted for the stated purpose. It also explores the system design that support workflows of environmental modeling tasks, which could involve exploring visually the spatial patterns of the sensed data.

To achieve the goal, we examine the domain knowledge from two groups working in the ocean monitoring and modeling fields, followed by interviewing domain experts from these two groups to obtain the concepts and the knowledge structure of the respective domains. We also examine the semantics of the data generated by these two groups and compile how these data are used among the scientists. We then investigate the degree the mapping between upper level ontologies and the domain concepts can be accomplished and the best strategy to align concepts from the two domains under investigation. Last, we examine how the implementation of such a system helps search and retrieve data with both high precise and recall.

Keywords: Ontology alignment, data integration, Ontology reasoning

Conference website: http://www.aag.org/cs/annualmeeting

Event-based Ontology for geoprocessing provenance

posted Oct 31, 2012, 6:05 AM by Chih Yuan Chen   [ updated Dec 3, 2012, 5:57 PM by Byounghyun Yoo ]

Chen-Chieh Feng and Yu Liang, 2011 Association of American Geographers' Annual Meeting(AAG 2011), Seattle, Washington, 12-16 April, 2011.

Abstract: This paper is about an event-based ontology for characterizing the provenance of geoprocessing workflow in GIS, which is capable of tracking the causal relations between the physical entities in reality that partake the geoprocessing workflow and the geoprocessing entities that represent these physical entities. The ontology helps researchers and data users understand the lifecycle of artifacts and entities from real world in a geoprocessing workflow, including creation, change, and extinction of entities. It can be used to answer the questions such as how the data are generated and is particular useful for reasoning the potential causes of sudden changes in certain observations of a particular phenomenon.
To develop the ontology, we start with general concept of event and elaborate the concept with its subordinate and auxiliary concepts. Following the formal relations between events and the objects affected by the events, the artifacts and the entities that participate in the events and their status are identified. We then examine how the provenance of existing data sources can be extracted and develop tools to capture the provenance information. An XML-based schema is developed to encode the provenance and to facilitate provenance information exchange. The XML-based schema is later converted into OWL to leverage on the capability of reasoning tools to answer complex questions on the life cycle of the data and physical entities. Axioms and rules are developed to enhance the reasoning ability of the ontology.

Keywords: Provenance, event, Geoprocessing, GIS

Conference website: http://www.aag.org/cs/annualmeeting

A generic attribute-improved RBAC model by using context-aware reasoning

posted Oct 31, 2012, 5:53 AM by Chih Yuan Chen   [ updated Dec 3, 2012, 5:47 PM by Byounghyun Yoo ]

Chen-Chieh Feng and Liang Yu, The 2011 World Congress in Computer Science, Computer Engineering, and Applied Computing(WorldComp'11), Las Vegas, Nevada, 18-21 July, 2011.

Abstract: Traditional role-based access control models(RBAC) are restricted in certain domains and difficult toextend for other applications. The problem is exacerbated with the need to use different RBAC models to manage a variety of resources. Rather than changing the entire RBAC,we propose a generic access control model that takes the advantage of RBAC’s reasoning capability and then extends it by adding attributes which significantly improve the inference process. An algorithmic framework is depicted with customizable interfaces that adapts to the requirements of the users. The generic access control model potentially can be adapted to a broader range of user requirements.

Keywords: access control model, RBAC, attribute

Conference website: http://www.world-academy-of-science.org/worldcomp11/ws/program/sam20

Ontology-based data exchange and integration: an experience in CyberInfrastructure of Sensor Network based monitoring system

posted Oct 30, 2012, 5:53 AM by Chih Yuan Chen   [ updated Dec 3, 2012, 5:51 PM by Byounghyun Yoo ]

Chen-Chieh Feng and Liang Yu, The Fourth International Conference on Advances in Semantic Processing (SEMAPRO 2010), Florence, Italy, 25-30 Oct, 2010.

Abstract: Scientific research has become interdisciplinary and collaborative, of which sharing and utilizing data in an efficient manner is critical. Data collected for environmental monitoring and modeling, however, often lack semantic information vital for efficient data sharing, thereby causing semantic gaps between the data collection and utilization. The problem is especially acute when data have to be processed without human intervention. To support efficient data sharing, this paper proposes an ontology-based architecture to integrate heterogeneous data. With the help of ontology reasoning, it provides a simpler and more intelligent way for data searching with high-precision and high-recall.

Keywords: Sensor Network, Ontology reasoning, Alignment

Conference website: http://www.iaria.org/conferences2010/SEMAPRO10.html

Remarks: This paper is selected as the best paper of SEMAPRO 2010

WEB-based information exploration of Sensor Web using the HTML5/X3D integration model

posted Oct 30, 2012, 5:50 AM by Byounghyun Yoo   [ updated Oct 30, 2012, 2:46 PM ]

Byounghyun YooIADIS International Conference WWW/Internet, Madrid, Spain, October 18-22, 2012. 

Abstract: We investigate how the visualization of sensor resources on a 3D Web-based globe organized by level-of-detail can enhance search and exploration of information by easing the formulation of geospatial queries against the metadata of sensor systems. Our case study provides an approach inspired by geographical mashups in which freely-available functionality and data are flexibly combined. We use PostgreSQL, PostGIS, PHP, X3D-Earth and X3DOM to allow the Web3D standard and its geospatial component to be used for visual exploration and level-of-detail control of a dynamic scene. The proposed approach facilitates the dynamic exploration of the Sensor Web and allows the user to seamlessly focus in on a particular sensor system from a set of registered sensor networks deployed across the globe. We present a prototype metadata exploration system featuring levels-of-detail for a multi-scaled Sensor Web and use it to visually explore sensor data of weather stations.

Keywords: Web3D, Extensible 3D (X3D) Graphics, Sensor Web, X3DOM, HTML5.

Remark: This paper is selected as the best paper of IADIS International Conference WWW/Internet 2012.

Visualization and level-of-detail of metadata for interactive exploration of Sensor Web

posted Oct 30, 2012, 5:45 AM by Byounghyun Yoo   [ updated Oct 30, 2012, 5:45 AM ]

Byounghyun Yoo, Workshop on Sensor Web Enablement 2011 (SWE 2011), part of The 2011 Cybera Summit on Data For All, Banff, AB, Canada, October 6-7, 2011. 

Abstract: There are several issues with Web-based search interfaces on a Sensor Web data infrastructure. It can be difficult to 1) find the proper keywords for the formulation of queries and 2) explore the information if the user does not have previous knowledge about the particular sensor systems providing the information. We investigate how the visualization of metadata on a 3D Web-based globe organized by level-of-detail can enhance search and exploration of information by easing the formulation of geospatial queries against the metadata of sensor systems. Our case study provides an approach inspired by geographical mashups in which freely-available functionality and data are flexibly combined. We use PostgreSQL, PostGIS, PHP and X3DEarth technologies to allow the Web3D standard and its geospatial component to be used for visual exploration and level-of-detail control of a dynamic scene. Our goal is to facilitate the dynamic exploration of the Sensor Web and allow the user to seamlessly focus in on a particular sensor system from a set of registered sensor networks deployed across the globe. We present a prototype metadata exploration system featuring levels-of-detail for a multi-scaled Sensor Web and use it to visually explore personal and project-based local weather stations.

Keywords: Sensor Web data visualization, Sensor Web data discovery and search, level-of-detail, metadata visualization, Web3D standard, Extensible 3D Graphics, X3D Geospatial Component

Conference website: http://sensorweb.geomatics.ucalgary.ca/swe2011

Web-service and subsystems for sharing meteorological data through cyber-infrastructure for environmental sensing and modeling

posted Oct 30, 2012, 5:43 AM by Byounghyun Yoo   [ updated Oct 30, 2012, 1:55 PM ]

Byounghyun Yoo and Judson Harward, GSDI (Global Spatial Data Infrastructure Association) 12 World Conference, Singapore, October 19-22, 2010. 

Abstract: We introduce a web-service and its subsystems for scientific data exchange that is geographically referenced. This system has been designed for interdisciplinary research groups who conduct various scientific observations and generate their own scientific data in different environmental engineering area. These data include raw data from physical sensing and processed data from simulation, assimilation, and data processing. A cyber-infrastructure provides functionality for researchers to extend the longevity of their data, to facilitate data discovery, and to provide data access for authorized users. The cyber-infrastructure is intended to utilize a federated data repository model in which individual research projects will provide their own data storage either on standard file servers or in relational database management systems. This paper introduces central cyber-infrastructure and focuses on functionality and mechanism of federated data repository model. We implemented a data repository utilizing initial sensor data from an urban meteorology project of residential area in Singapore for validation of our system architecture. In order to provide mechanisms for data discovery by other researchers as well as data access for authorized users, produced data is managed with spatial-relational database management system. The data is geographically referenced for efficient discovery in geospatial context. Domain knowledge and metadata is captured from data producer and used for design of backend database system. The data Repository has two major components. For the data provider, there is a web service interface for data submission and publication, and for data discovery and sharing through the central cyber-infrastructure, there is a separate web service interface that communicates with the distributed data broker of the central cyber-infrastructure. The data provider uses a server-side application that provides a web-based user interface to enable uploading, parsing and storing of data in the data repository. Metadata of each data generated from the data provider takes important roles in this system for providing data alignment and communication with the central cyber-infrastructure. A web-based query interface supports data exports in a variety of common file formats such as Excel, Word, XML, CSV, and PDF. Other available tools enable interactive web-based visualizations and geospatial representations of datasets. This allows query output to be immediately displayed in geo-web environment. This data repository model will grow into a general data exchange facility with the central cyber-infrastructure for environmental sensing and modeling research.

Keywords: cyber-infrastructure, environmental data, data exchange, metadata, sensor data, Web service.

A flexible data integration framework using Ontology similarity

posted Oct 30, 2012, 4:15 AM by Chih Yuan Chen   [ updated Nov 3, 2012, 10:26 AM by Byounghyun Yoo ]

Juebo Wu, Chen-Chieh Feng and Chih-Yuan Chen, Journal of Computational Information Systems, 8(21), pp.8819- 8826, November 2012.

Abstract: In order to support for collaborative work between different individuals, teams, or organizations, data and their structures need to be frequently exchanged and integrated from one system to the other system. In this context, it is very significant and valuable to find out a fast way for achieving data integration. In this paper, we present a flexible approach for the framework of rapid data integration based on ontology similarity with language-agnostic. This is done first by extracting ontology from database, constructing the elementary semantic entities of ontology. Then, ontology similarity calculation is carried out to judge whether two ontologies are equivalent or not. We exploit the improved edit distance algorithm as the basic function for ontology similarity, and detail the intelligent framework of rapid data integration by web service. Finally, a system is developed to realize rapid data integration for two teams in a real collaborative project and the feasibility analysis is processed. It shows the high efficiency and flexibility of our approach.

Keywords: Rapid Data Integration, Ontology Integration, Ontology Similarity, Ontology Mapping


Ontology similarity measurement method in rapid data integration

posted Oct 30, 2012, 3:58 AM by Chih Yuan Chen   [ updated Dec 3, 2012, 6:01 PM by Byounghyun Yoo ]

Juebo Wu, Chen-Chieh Feng and Chih-Yuan Chen, International Conference on Data Technologies and Applications(DATA2012), Rome, Italy, 25-27 July 2012. 

Abstract: Rapid data integration has been a challenging topic in the field of computer science and its related subjects,widely used in data warehouse, artificial intelligence, biological medicine, and geographical information system etc. In this paper, we present a method of ontology similarity measurement in rapid data integration, by means of semantic ontology from high-level perspective. The edit  distance algorithm is introduced as the basic principle for ontology similarity calculation. A case study is carried out and the result shows that the presented method is feasible and effective.

Keywords: ontology similarity, rapid data integration, ontology mapping.

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