Swoogle
Swoogle is a search engine in Semantic Web which is to search for documents. Semantic web is marketed as the next generation of representation of online content where the web documents are represented in a language that is not only simple for people, but also machine-readable. The Resource Definition Framework (RDF), Web Ontology Language (OWL), which is intended to provide a systematic description of concepts, terms, and relationships within a given field of knowledge, are the key elements of the semantic web. Swoogle is an effort to mine this latest set of web documents and index them.
The engine performs semantic document crawling, like most web search engines, and the search is also accessible as a web service. The engine is written predominantly in Java, with the front-end PHP and the database MySQL used. Swoogle is able to scan through more than 1.3 million online documents in more than 10,000 ontologies and indexes. The importance of a Semantic Web document is also computed. The more Google-type page ranking and also mining the inter-relationship documents that are the basis for the semantic web are the techniques used for indexing.
Swoogle Architecture
As shown in the above diagram the architecture of Swoogle can be broken into four major components: SWD Discovery, Metadata Creation, Data Analysis, and Interface. This architecture is data-centric and expandable. various modules function separately on different tasks.
SWD Discovery : It is the responsibility of the SWD discovery component to discover potential SWDs throughout the Web and maintain up-to-date SWD information.
Metadata Creation : The component of metadata creation caches a SWD snapshot and generates objective metadata about in both syntax level and semantic level SWDs.
Data Analysis : The component of data analysis uses cached SWDs and metadata generated to extract analytical reports, such as SWO and SWDB classification, SWD rating, and SWD IR index.
Interface : The focus of the interface component is to provide the Semantic Web community with a data service.
Uses of Swoogle
Finding appropriate ontologies : A RDF editor usually enables a user to load an ontology, which can then be used to create assertions. But finding the right ontology to load is a problem, and the lack of an appropriate solution has led to the proliferation of ontology. For ontologies that contain specified terms anywhere in the text, a user can query Swoogle for ontologies that contain specified terms, such as Classes or Properties, or for ontologies that contain a specified term. In accordance with the Ontology Rank algorithm, the ontologies returned are ranked.
Finding instance data : The semantic web aims to enable distributed knowledge to be incorporated. First, it is important to find the data. A Swoogle user may query information about a specified class or a specified subject for all instance data. It is then possible to load the triples of the returned SWDs into a knowledge base for further querying.
Studying the structure of semantic web : The metadata computed by Swoogle will provide the semantic web with structural details. How related are they? What records lead to an ontology? Which ontology is referred to in a document? What is the relationship between the two documents? Where is the most dense graph? etc…
