Geospatial Semantic Web: Critical Issues
Peisheng Zhao (George Mason University, USA), Liping Di (George Mason University, USA), Wenli Yang (George Mason University, USA), Genong Yu (George Mason University, USA) and Peng Yue (George Mason University, USA)
Copyright: © 2009
The Semantic Web technology provides a common interoperable framework in which information is given a well-defined meaning such that data and applications can be used by machines for more effective discovery, automation, integration and reuse. Parallel to the development of the Semantic Web, the Geospatial Semantic Web – a geospatial domain-specific version of the Semantic Web, is initiated recently. Among all the components of the Geospatial Semantic Web, two are especially unique – geospatial ontology and geospatial reasoning. This paper is focused on discussing these two critical issues from representation logic to computational logic.
Inspired by Tim Berners-Lee (Berners-Lee, 1998; W3C, 2006), inventor of the Web, a growing number of individuals and groups from academia and industry have been evolving the Web into another level - the Semantic Web. By representing not only words, but their definitions and contexts, the Semantic Web provides a common interoperable framework in which information is given a well-defined meaning such that data and applications can be used by machines (reasoning) for more effective discovery, automation, integration and reuse across various application, enterprise and community boundaries. Compared to the conventional Web, the Semantic Web excels in two aspects (W3C, 2006): 1) common formats for data interchange (the original Web only had interchange of documents) and 2) a language for recording how the data relates to real world objects. With such advancements, reasoning engines and Web-crawling agents can go one step further – and inductively respond to questions such as “which airfields within 500 miles of Kandahar support C5A aircraft?” rather than simply returning Web pages that contain the text “airfield” and “Kandahar”, which most engines do today.
Figure 1 shows the hierarchical architecture of the Semantic Web. At the bottom level, XML (Extensible Markup Language) provides syntax to represent structured documents with a user-defined vocabulary but does not necessarily guarantee well-defined semantic constraints on these documents. And XML schema defines the structure of an XML document. RDF (Resource Description Framework) is a basic data model with XML syntax that identifies objects (“resources”) and their relations to allow information to be exchanged between applications without loss of meaning. RDFS (RDF Schema) is a semantic extension of RDF for describing the properties of generalization-hierarchies and classes of RDF resources. OWL (Web Ontology Language) adds vocabulary to explicitly represent the meaning of terms and their relationships, such as relations between classes (e.g. disjointness), cardinality (e.g., “exactly one”), equality and enumerated classes. The logic layer represents the facts and derives knowledge, and deductive process and proof validation are deduced by the proof layer. A digital signature can be used to sign and export the derived knowledge. A trust layer provides the trust level or a rating of its quality in order to help users building confidence in the process and quality of information(Antoniou & Harmelen, 2004).
Semantic Web Architecture (Berners-Lee, 2000)
Parallel to the development of the Semantic Web, the Geospatial Semantic Web – a geospatial domain-specific version of the Semantic Web, is initiated recently. Because geospatial information is heterogeneous, i.e. multi-source, multi-format, multi-scale, and multi-disciplinary, the importance of semantics on accessing and integration of distributed geospatial information has long been recognized (Sheth, 1999). The advent of the Semantic Web promises a generic framework to use ontologies to capture the meanings and relations for information retrieval. But this framework does not relate explicitly to some of the most basic geospatial entities, properties and relationships that are most critical to a particular geospatial information processing task. To better support the discovery, retrieval and consumption of geospatial information, the Geospatial Semantic Web is initiated to create and manage geospatial ontologies to capture the semantic network of geospatial world and allow intelligent applications to take advantage of build-in geospatial reasoning capabilities for deriving knowledge. It will do so by incorporating geospatial data semantics and exploiting the semantics of both the processing of geospatial relationships and the description of tightly-coupled service content (Egenhofer, 2002; Lieberman, Pehle, & Dean, 2005). The Geospatial Semantic Web was identified as an immediately-considered research priority early in 2002 (Fonseca & Sheth, 2002) by UCGIS (University Consortium for Geospatial Information Science). As an international voluntary consensus standards organization, OGC (Open Geospatial Consortium) conducted the Geospatial Semantic Web Interoperability Experiment (GSW-IE) in 2005 aiming to develop a method of discovering, querying and collecting geospatial content on the basis of formal semantic specifications.
Key Terms in this Chapter
Geospatial Semantic Web: A domain-specific version of the Semantic Web which creates and manages geospatial ontologies to exploit the logical structure of geospatial world and allow applications to take advantage of “intelligent” geospatial reasoning capabilities.
Geospatial Reasoning: Using logic to infer implicit spatial relationships and knowledge from given geospatial facts.
Semantic Web: A common interoperable framework in which information is given well-defined meaning such that the data and applications can be used by machine for more effective discovery, automation, integration, and reuse across various applications, enterprises and community boundaries.
Interoperability: Capability to communicate, execute programs, or transfer data among various functional units in a manner that requires the user to have little or no knowledge of the unique characteristics of those units [ISO 2382-1].
Geospatial Ontology: A formal vocabulary that sufficiently captures the semantic details of geospatial concepts, categories, relations and processes as well as their interrelations at different levels.
Geospatial Web Service: A modular application designed to enable the discovery, access, and process of geospatial information across the Web.
Ontology: A specification of conceptualization. In computer science domain, ontology provides a commonly agreed understanding of domain knowledge in a generic way for sharing across applications and groups.
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