Ontology-Based Framework for Document Indexing

Revista Facultad De Ingenieria, 2013

This paper presents an approach to the semantic indexes contained in particular topics as well as the most important models for Information Retrieval. They will be dynamically constructed using the annotations contained in the web resources and the definitions in ontologies of the annotation terms used. The indexes are envisioned as active agents that 'know' what topics they can handle (i.e. find content for) based upon their own ontologies.

2009

This research takes place in an industrial context: the CONTINEW Company. This company ensures the storage and security of critical data and technical documentation. Consequently, it is necessary to organize these documents in order to retrieve quickly critical information. The management of this increasing volume of documents requires document classification which is based on indexing techniques. So, how much relevant the indexing phase is, more relevant the classification will be. The technical documentation is by nature strongly structured. For example, the logical structure describes the role and the nature of the document elements (introduction, title, section, and so one…) and the logical links between them (A chapter is composed of section and so one). Such structure facilitates document presentation and improves the indexing precision. The classical information retrieval systems use neither the logical structure, nor the concept contained in the textual content of documents....

IIWeb, 2003

We describe the development of a knowledge management platform for web-enabled environments featuring intelligence and insight capabilities. The effort is the result of a FP5 project under the IST initiative involving 3 universities, a technology provider and 5 user companies. The main objective of the platform is to analyse, search and present information retrieved from the web) (or any other type of document). This is achieved through the use of Multi-Agent Systems and ontologies. The automatic evolution of dynamic ontologies requires the action of a collection of agents to extract information and discover links using classification and learning techniques. These general-purpose agents will maintain a goal to periodically access the ontology and support search functions. Conceptually similar documents would get clustered into categories and information could then be retrieved by statistical approaches. Discovery of new knowledge would lead to modifications in the ontology by pruning irrelevant sections, refining its granularity and/or testing its consistency.

An enormous amount of data is available in various departments in tertiary schools. Much of these relevant research materials in this massive and swiftly growing dataset will be of no relevance if there are no efficient tools to integrate and access them. This paper presents a framework for integrating research works that cover similar fields of knowledge submitted by researchers to various departments in tertiary schools. The general aim of this effort is to present a model that can automatically classify the research reports according to keywords of topics and abstract. It will also manage metadata regarding individual researcher and supervisor of the research project. Ontological approach and dynamically acquired background domain knowledge will be used in this regard. This effort is aimed at providing a mean of assisting subsequent researchers to easily locate and reuse relevant documents through a structured front end. The algorithm is implemented in Visual basic.Net and tested...

2010

The architecture of the future Digital Libraries should be able to allow any users to access available knowledge resources from anywhere and at any time and efficient manner. Moreover to the individual user, there is a great deal of useless information in addition to the substantial amount of useful information. The goal is to investigate how to best combine Artificial Intelligent and Semantic Web technologies for semantic searching across largely distributed and heterogeneous digital libraries. The Artificial Intelligent and Semantic Web have provided both new possibilities and challenges to automatic information processing in search engine process. The major research tasks involved are to apply appropriate infrastructure for specific digital library system construction, to enrich metadata records with ontologies and enable semantic searching upon such intelligent system infrastructure. We study improving the efficiency of search methods to search a distributed data space like a Digital Library. This paper outlines the development of a Case-Based Reasoning prototype system based in an ontology for retrieval information of the Digital Library University of Seville. The results demonstrate that the used of expert system and the ontology into the retrieval process, the effectiveness of the information retrieval is enhanced.

International Journal of Computer Applications, 2012

This paper shows how the gap between the texts based web pages and the Resource Descriptive Framework based pages of the semantic web can be bridged by ontologies. Most traditional search engines use indexes that are engineered at the syntactical level and come back hits based mostly on straightforward string comparisons or use the static keyword based indexing. However, the indexes don't contain synonyms, cannot differentiate between homonyms ("mouse" as a Pointing device vs. "Mouse" as a living animal) and users receive completely different search results after they use different conjugation varieties of identical word. During this work, we have a tendency to gift a system that uses ontologies and Natural Language Processing techniques to construct index, and therefore supports word sense disambiguation. Therefore the retrieval of document that contains equivalent term as the context demands is achieved to provide efficient search engines through ontological indexing.

DESIDOC Journal of Library & Information Technology, 2011

To facilitate access to relevant documents and information has been the core of the library and information science (LIS) profession. In this regard tools like classification, cataloguing, and indexing formed the basis of library practice for a long time. These served particularly well for the material that was predominantly in the print form and required physical location for storage. New information sources, however, in contrast are increasingly in the electronic or digital form and stored on medium like computer hard disks requiring completely different strategy for access and management. Extension of the traditional bibliographic control tools as well as construction of new tools has therefore become pertinent. Ontology is one of the latest tools in this context. The paper discusses progress of information organising tools culminating in ontology, highlights the commonality of the concept of ontology and its applications among the fields of philosophy, computer science and LIS. It also discusses the select features of ontology development in practice and directions for features of ontology development in practice and directions for further work.

Computer, 2002

ADHO, 2018

Explains and presents the three-part ontology of documents, acts of communication and texts developed by the author, proposing that a text is an instance of an act of communication inscribed in a document. Accordingly, all texts have a double aspect: they are acts of communication, and they are present in documents. Each aspect may be represented as a tree, with each tree independent of the the other. Text may therefore be conceived as a collection of leaves, with each leaf present on both the document and act of communication trees. The talk describes briefly how this is model is implemented in the textual communities system.

A document index represents a concise ordered compilation of the docu- ment's most important topics. It provides direct and fast access to the document parts related to the index information. Together with structural knowledge of the document itself in connection with general knowledge about indexing a 2-layered Index Graph is defined that is further mapped to an ontology representation. By defining suitable met- rics it is shown how the Index Graph can be utilised to augment semantic applications. We have developed a system for supporting the author of a document in the process of index compilation. Other possible applications include document visualisation, and semantic document annotation.