Traversing Documents by Using Semantic Relationships

نویسنده

  • Bilal Gonen
چکیده

Relationships are keys to the semantics and hence the Semantic Web. One interesting way to exploit relationships is to link documents such that terms in the documents are semantically related through well defined relationships. In his 1945 article, Dr. Vannevar Bush posited the idea of creating a device capable of recording all of human knowledge. Dr. Bush suggested that such a device would allow its user to traverse a space of documents by following a “trail of associations” in the user’s mind. The assumption however is that links of the Web are meaningful to the user. This assumption certainly does not hold for the eight billion pages on the Web. We consider a scenario where the user has some prior knowledge of the domain. Our approach to building such a system relies on two aspects of Semantic Web: (a) semantic metadata for documents, and (b) populated ontology with relationship instances.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Model for Conformance Analysis of Software Documents

During the evolution of a large-scale software project, developers produce a large variety of software artifacts such as requirement specifications, design documents, source code, documentation, bug reports, etc. These software documents are not isolated items — they are semantically related to each other. They evolve over time and the set of active semantic relationships among them is also dyn...

متن کامل

Reducing Dimensionality of Text Documents using Latent Semantic Analysis

Latent semantic analysis (LSA) is a technique that analyzes relationships between documents and its terms, and it discovers a data representation that has a lower dimension than the original semantic space. Essentially, the reduced dimensionality preserves the most crucial aspects of the data since LSA analyzes documents to find latent meaning in the corpus. The latent semantic space is determi...

متن کامل

Relation based Measuring of Semantic Similarity for Web Documents

The World Wide Web (WWW) is the information resource centre in which information exists in the structure of web pages which are interlinked with each other. From the huge amount of information present on WWW it has been found difficult to extract the relevant information for the query given by the user. The reason for this is that the information exists on web is in natural language. The layere...

متن کامل

Multi-Resolution Modelling Of Topic Relationships In Semantic Space

Recent techniques for document modelling provide means for transforming document representation in high dimensional word space to low dimensional semantic space. The representation with coarse resolution is often regarded as being able to capture intrinsic semantic structure of the original documents. Probabilistic topic models for document modelling attempt to search for richer representations...

متن کامل

RANKING DOCUMENTS BASED ON RELEVANCE OF SEMANTIC RELATIONSHIPS by BOANERGES

In today's web search technologies, the link structure of the web plays a critical role. In this work, the goal is to use semantic relationships for ranking documents without relying on the existence of any specific structure in a document or links between documents. Instead, named/real-world entities are identified and the relevance of documents is determined using relationships that are known...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011