Determining the semantic similarity is an important issue in the development of semantic search technology. In this paper, we propose an approach to determining the semantic similarity. This approach takes into consideration the similarity between two entities and their similarity reflected in context. Furthermore, the approach provides an efficient Tabu Search algorithm combined with multi-obj...

AS WE KNOW THAT WWW IS ALLOWING PEOPLES TO SHARE THE HUGE INFORMATION GLOBALLY FROM THE BIG DATABASE REPOSITORIES. THE AMOUNT OF INFORMATION GROWS BILLIONS OF DATABASES. HENCE TO SEARCH PARTICULAR INFORMATION FROM THESE HUGE DATABASES WE NEED THE SPECIALIZED MECHANISM WHICH HELPS TO RETRIEVE THAT INFORMATION EFFICIENTLY. NOW DAYS VARIOUS TYPES OF SEARCH ENGINES ARE AVAILABLE WHICH MAKES INFORMA...

61 | P a g e S e p t e m b e r 2 2 , 2 0 1 3 ANALYSIS OF SEMANTIC SEARCH ENGINES Vijay Rana*, Dr Gurdev Singh * Research Scholar, Punjab Technical University, Jalandhar, Punjab, India. [email protected] ** Gurukul Vidyapeeth Institute of Engineering & Technology, Patiala, Punjab, India. [email protected] ABSTRACT The traditional information retrieval system don not formally capture the ...

The chapter shows how the average Internet user can contribute to the building of Semantic Web. It considers future semantic search engines in comparison to the current tools. In the chapter, several semantic web technologies, such as semantic Wikis or FOAF profiles, are mentioned as well. They can be used even by non-experienced Internet user, which gives the prospects to the existence in a se...

Web search is a key technology of the Web, since it is the primary way to access content on the Web. Current standard Web search is essentially based on a combination of textual keyword search with an importance ranking of the documents depending on the link structure of the Web. For this reason, it has many limitations, and there are a plethora of research activities towards more intelligent f...

Semantic search and retrieval methods have a great potentiality in helping customers to make choices, since they appear to outperform traditional keyword-based approaches. In this paper, we address SemSim, a semantic search method based on the well-known information content approach. SemSim has been experimented to be effective in a defined domain, namely the tourism sector. During experimentat...

In recent years, semantic search has become one hot motivation of the semantic web. In this paper, we propose a semantic-based resource management and search architecture and its implementation in research community, including most of the research relevant resources. We have built two authoring tools respectively for concepts and instances. With the authoring tools, semantic search portal is pr...

Searching is a fundamental task to support research. Current search engines are keyword-based. Semantic technologies promise a next generation of semantic search engines, which will be able to answer questions. Current approaches either apply natural language processing to unstructured text or they assume the existence of structured statements over which they can reason. This work provides a sy...

Grammaticalization is the gradual historical development of function morphemes from content morphemes. Among the commonly identified characteristics of this process is what is often called “semantic bleaching”: while becoming more and more functional the morpheme loses most of its meaning. In this paper, I ask what sense we can make of “semantic bleaching” from a formal semantic perspective. I ...