Semantic web development challenges

The main issues for the semantic web are:
- A well defined Ontology design approach.
-Semantic data representaion.
-Efficient search technique

Is Google Semantic Search engine.

Semantic is said to be a technology that uses machine understandability to find relevant result on vast data. We technology bloggers routinely drum up articles about it and sell it to you, the adoring masses, as a product that will change your web experience forever. Problem is, we often forget to tell you exactly what semantics and syntactic web.
Truth is that Google is not a semantic search engine, google basically work on the Algorithm introduced by larry page.

SHOE: Sematic Search Engine

SHOE is one of the semantic search engine designed with the concept of semantic search Engine and semantic web. SHOE is one of the university project.
For more detail visit: http://www.cs.umd.edu/projects/plus/SHOE

Semantic web as a research field

As Semantic web is new topic in the web technology and there are lot of aspects to explore. semantic web comes as a challenging topic for the research students of Phd, Masters and Graduate schools. the main Area which comes are:
1. Design of search engine.
2. Ontology design and uses.
3. Search engine optimization.
4. RDF/XML in semantic web.
5. Knowledge management.
6. Annotation, Indexing and search techniques.
These are some of the challenging fields in the semantic web where some of the work has been done already and a lot to be done.

Web Architecture

The current web architecture is two-tiered and characterized by a web client that displays information content and a web server that transfers information to the client. This architecture depends on three key standards: HTML for encoding document content, URLs for naming remote information objects in a global namespace, and HTTP for staging the transfer.

Swoogle - a semantic search engine

Swoogle is one of the semantic search engine that have many issues related to insufficient data and advantages over the current search technique. Swoogle allow users to specify an arbitrary search string to find relevant semantic web documents. In stead of build a full-text index, Swoogle parses a semantic web document and only indexes the part contributing most of the semantics of the document, i.e., the document's URL, the terms being used and/or being defined by the document, explicit description about the the document, and the namespaces used by the document.
For further detail about swoogle semantic search engine visit: http://swoogle.umbc.edu

Ontology Design

In the Initial phase of ontology as a concept. it was designed in an Ad-hoc manner. latter some of the approaches has been presented. these approaches may have different variants based on the requirement and domain for which we are going to present ontology.