scholarly journals Use of ontologies for personalized search of knowledge for natural language texts

2016 ◽  
pp. 073-088
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Information Retrieval ◽  
Natural Language ◽  
Information Resources ◽  
Semantic Search ◽  
Software Implementation ◽  
Open Environment ◽  
Use Of Knowledge ◽  
The Web ◽  
Information Objects ◽  
Search Domain

The paper analyzes the problems of search personalization of information resources and information objects which is based on the construction and use of user task thesaurus. This thesaurus allows the use of knowledge about search domain and structure of information objects represented by some appropriate ontologies. The definitions of semantic search, its subjects and components allow more articulate issues related to the information retrieval in the Web open environment. Software implementation of the proposed approach confirms the effectiveness of its prac-tical use.

Use of ontological analysis for competence evaluation of scientists in a particular subject domain

2016 ◽  
pp. 081-096
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Scientific Activity ◽  
Subject Domain ◽  
Semantic Matching ◽  
Research Project ◽  
Open Environment ◽  
Competence Evaluation ◽  
The Subject ◽  
Ontological Analysis ◽  
Use Of Knowledge ◽  
The Web

Objective methods for competence evaluating of scientists in the subject domain pertinent to the specific scientific product – research project, publication, etc. are proposed. These methods are based on the semantic matching of the description of scientific product and documents that confirm the competence of its authors or experts in the domain of this product. In addition, the use of knowledge acquired from the Web open environment – Wiki-resources, scientometric databases, organization official website, domain ontologies is proposed. Specialized ontology of scientific activity which allows to standardize the terminological base for describing the qualifications of researchers is developed.

Elementary School Students, Information Retrieval, and the Web

2009 ◽  
pp. 469-476
Author(s):  
Valerie Nesset
Keyword(s):  
Elementary School ◽  
Information Retrieval ◽  
Multimedia Information ◽  
Elementary School Students ◽  
Public Library ◽  
Information Resources ◽  
The Internet ◽  
School Students ◽  
Cd Rom ◽  
The Web

In today’s modern world, elementary school students (aged 5 to 12 years) use computers for a wide variety of tasks. These include communication (e-mail, instant messaging, and chatrooms), entertainment (games, video, music, etc.), leisure (such as information relating to hobbies and general interests), and information retrieval to support class-based learning. Internet access is now very widely available from home, school, and public library. A major reason for accessing the Internet is to find Web-based information relevant to classroom learning activities. Undoubtedly the Web represents an enormous and potentially rich source of multimedia information on topics within the elementary school curriculum, but accessing this information does pose a number of challenges. We identify in this article three major problem areas that currently impede effective exploitation by elementary school students of Webbased information resources: information systems are not necessarily intuitive or straightforward for children to use; basic information literacy skills too often are inadequate; and too little content appropriate for young users is available on the Web. The first technology to gain popularity as a means for children to retrieve information was the CD-ROM. By the early 1990s, a wide variety of multimedia information resources targeted specifically at children were available in this medium. Many were children’s encyclopedias, designed to facilitate rapid retrieval of discrete information “chunks,” and often multimedia versions of an original print title. These CD-ROMs could offer an engaging, interactive experience for the young student. Although students were willing to explore and experiment with interfaces (Large, Beheshti, Breuleux, & Renaud, 1994; Large, Beheshti, & Breuleux, 1998), they were not necessarily effective at retrieving information from these CD-ROM titles (Marchionini, 1989; Oliver, 1996). In any event, regardless of its strengths and weaknesses as a classroom resource, CD-ROM technology proved transient and was quickly superseded by the expansion of the Internet and the rise of the Web. Yet the information retrieval problems revealed by CD-ROMs would continue to plague the Web.

scholarly journals A Preliminary Study for Building an Arabic Corpus of Pair Questions-texts from the Web: AQA-WebCorp

2016 ◽  
Vol 4 (2) ◽  
pp. 38
Author(s):  
Wided Bakari ◽  
Patrice Bellot ◽  
Mahmoud Neji
Keyword(s):  
Information Retrieval ◽  
Natural Language Processing ◽  
Natural Language ◽  
Data Base ◽  
Machine Translation ◽  
Language Processing ◽  
Electronic Media ◽  
Preliminary Results ◽  
Preliminary Study ◽  
The Web

With the development of electronic media and the heterogeneity of Arabic data on the Web, the idea of building a clean corpus for certain applications of natural language processing, including machine translation, information retrieval, question answer, become more and more pressing. In this manuscript, we seek to create and develop our own corpus of pair’s questions-texts. This constitution then will provide a better base for our experimentation step. Thus, we try to model this constitution by a method for Arabic insofar as it recovers texts from the web that could prove to be answers to our factual questions. To do this, we had to develop a java script that can extract from a given query a list of html pages. Then clean these pages to the extent of having a data base of texts and a corpus of pair’s question-texts. In addition, we give preliminary results of our proposal method. Some investigations for the construction of Arabic corpus are also presented in this document.

Semantic Querying of News Articles With Natural Language Questions

2021 ◽  
Vol 14 (3) ◽  
pp. 38-57
Author(s):  
Tuan-Dung Cao ◽  
Quang-Minh Nguyen
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Semantic Search ◽  
News Item ◽  
Semantic Model ◽  
Search Technique ◽  
Web Based ◽  
Semantic Data ◽  
Sports News ◽  
The Web

The heterogeneity and the increasing amount of the news published on the web create challenges in accessing them. In the authors' previous studies, they introduced a semantic web-based sports news aggregation system called BKSport, which manages to generate metadata for every news item. Providing an intuitive and expressive way to retrieve information and exploiting the advantages of semantic search technique is within their consideration. In this paper, they propose a method to transform natural language questions into SPARQL queries, which could be applied to existing semantic data. This method is mainly based on the following tasks: the construction of a semantic model representing a question, detection of ontology vocabularies and knowledge base elements in question, and their mapping to generate a query. Experiments are performed on a set of questions belonging to various categories, and the results show that the proposed method provides high precision.

scholarly journals Applying Semantic Role Labeling and Spreading Activation Techniques for Semantic Information Retrieval

2020 ◽  
Vol 49 (2) ◽  
pp. 275-288
Author(s):  
Tomas Vileiniskis ◽  
Rita Butkiene
Keyword(s):  
Information Retrieval ◽  
Natural Language ◽  
Information Needs ◽  
Semantic Search ◽  
Spreading Activation ◽  
Semantic Role ◽  
Semantic Role Labeling ◽  
Search Field ◽  
Semantically Enhanced ◽  
Spreading Activation Algorithm

Semantically enhanced information retrieval (IR) is aimed at improving classical IR methods and goes way beyond plain Boolean keyword matching with the main goal of better serving implicit and ambiguous information needs. As a de-facto pre-requisite to semantic IR, different information extraction (IE) techniques are used to mine unstructured text for underlying knowledge.  In this paper we present a method that combines both IE and IR to enable semantic search in natural language texts. First, we apply semantic role labeling (SRL) to automatically extract event-oriented information found in natural language texts to an RDF knowledge graph leveraging semantic web technology. Second, we investigate how a custom flavored graph traversal spreading activation algorithm can be employed to interpret user’s information needs on top of the prior-extracted knowledge base. Finally, we present an assessment on the applicability of our method for semantically enhanced IR. An experimental evaluation on partial WikiQA dataset shows the strengths of our approach and also unveils common pitfalls that we use as guidelines to draw further work directions in the open-domain semantic search field.

scholarly journals РОЗРОБКА МЕТОДІВ ПІДТРИМКИ ПРОЗОРОСТІ РАМОК КВАЛІФІКАЦІЙ НА ОСНОВІ СЕМАНТИЧНИХ ТЕХНОЛОГІЙ

2017 ◽  
Vol 59 (3) ◽  
pp. 201 ◽  
Author(s):  
Julia V. Rogushina ◽  
Serhii M. Pryima
Keyword(s):  
Learning Outcomes ◽  
Relevant Information ◽  
Information Resources ◽  
Software Implementation ◽  
Theoretical Research ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Semantic Wiki ◽  
Qualification Framework ◽  
Information Objects

The urgency of the integration of national and European qualification frameworks for the comparing of learning outcomes for different countries is grounded. Theoretical research in this area and the tools that are built on them are analyzed. The approaches to harmonization of the National qualification framework of Ukraine with the European qualification frameworks and problems dealing with their practical use are considered. The necessity of the development of software tools oriented on comparison of these qualification frameworks based on the Semantic Web technologies is reasoned. In this work the use of ontologies for representation of learning outcomes and the Semantic Wiki technologies for structuring of the relevant information resources is proposed. A theoretical model and an algorithm for matching ontologies with Wiki-resources that enable dynamic replenishment of these ontologies and comparison of various information objects are developed. A software implementation of the proposed approach is realized.

scholarly journals CONCEPT OF INFORMATION-SEARCH SYSTEM (ON THE BASIS OF ONTOLOGIES) FOR THE DOMAIN OF MEDICAL LAW

2020 ◽  
Vol 2 (2) ◽  
pp. 6-9
Author(s):  
T. HOVORUSHCHENKO ◽  
◽  
Y. HNATCHUK ◽  
O. SAVCHUK ◽  
◽  
...  
Keyword(s):  
Information Retrieval ◽  
Information Search ◽  
Retrieval System ◽  
Semantic Analysis ◽  
Information Retrieval System ◽  
Information Resources ◽  
Semantic Search ◽  
Medical Law ◽  
Retrieval Systems ◽  
Information Retrieval Systems

The search for information is one of the main components of human activity. The ideal information retrieval system should issue only documents that are relevant to the request. Today, real information retrieval systems provide a completeness factor of 70%, and a search accuracy factor – at a level sometimes even 10%. Thus, the well-known information retrieval systems are currently unable to meet the modern needs of users. The global trend in the processing of large arrays of information, which allows you to solve new classes of problems based on available information resources, is the intellectualization of information and data processing. As a standard of knowledge engineering in the development of information retrieval systems, it is worthwhile to use ontologies that are widely used in the work of search engines and information retrieval systems, as ontologies are an effective tool for organizing a semantic search. The use of ontologies as part of information retrieval systems helps to solve a number of methodological and technological problems that arise during the development of such systems. An important and actual task now is to develop an effective information retrieval system for the field of medical law. The purpose of this study is to develop the concept of an effective information retrieval system (based on ontologies) for the field of medical law. The paper proposes the concept of an information retrieval system (based on ontologies) for the field of medical law, which consists of: an internal ontology of semantic search, which will contain knowledge about the basic elements of the search process; taxonomies of information objects, information about which the user is looking for (this taxonomy will integrate existing ontologies of multimedia information resources, Web-services, and organizational structures); ontologies of the subject area, which will be used for the accumulation of knowledge, as well as for the construction of thesauri, dictionaries, taxonomies; linguistic ontologies designed for semantic analysis of natural information resources.

Classification of means and methods of the Web semantic retrieval

2017 ◽  
pp. 030-050
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Search Engines ◽  
Domain Knowledge ◽  
Information Needs ◽  
Web Search ◽  
User Interaction ◽  
Query Languages ◽  
Semantic Search ◽  
Semantic Retrieval ◽  
The Web

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.

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