scholarly journals Onto Semantic Tourism Information Retrieval

2018 ◽  
Vol 7 (4.7) ◽  
pp. 148 ◽  
Author(s):  
Shilpa S. Laddha ◽  
Dr. Pradip M. Jawandhiya
Keyword(s):  
Information Retrieval ◽  
Significant Role ◽  
Semantic Search ◽  
Efficient Search ◽  
Domain Specific ◽  
Search Results ◽  
User Query ◽  
Tourism Information ◽  
Relationship Of ◽  
The Relationship

Semantic Search is an area of research which focuses on meaning of terms used in user query. Ontology plays significant role to define the concept and the relationship of terms in domain. Since the understanding of concepts is domain specific, Ontology creation is also domain specific. According to this argument, query interpreted in Tourism domain can have different meaning in some other domain. This paper presents a prototype of information retrieval interface using ontology which can save users time by rendering relevant, precise and efficient search results as compared to traditional search interfaces.  

scholarly journals Research on We—Media Information Retrieval Technology of Knowledge Map

2019 ◽  
Vol 1 (2) ◽  
pp. p130
Author(s):  
Zhu Shanshan
Keyword(s):  
Information Retrieval ◽  
Relational Databases ◽  
Knowledge Map ◽  
Graph Database ◽  
Domain Specific ◽  
Advantages And Disadvantages ◽  
Development Direction ◽  
Text Information ◽  
Relationship Of ◽  
The Relationship

As the development direction of information retrieval technology gradually evolves toward the relationship of search entities, traditional relational databases are difficult to satisfy, and graph databases are specifically created to handle the relationships between data. This article explains the basic concept of graph database, and takes the example of domain-specific database information retrieval as an example, analyzes its advantages and disadvantages, and analyzes the challenges faced by the graph database in full-text information retrieval.

scholarly journals A semantic search approach for hyper relational knowledge graphs

2021 ◽  
Author(s):  
Veronica dos Santos ◽  
Sérgio Lifschitz
Keyword(s):  
Information Retrieval ◽  
Semantic Search ◽  
Similarity Function ◽  
Search Results ◽  
Relational Knowledge ◽  
Retrieval Systems ◽  
User Query ◽  
Information Retrieval Systems ◽  
Knowledge Graphs ◽  
Search Approach

Information Retrieval Systems usually employ syntactic search techniques to match a set of keywords with the indexed content to retrieve results. But pure keyword-based matching lacks on capturing user's search intention and context and suffers of natural language ambiguity and vocabulary mismatch. Considering this scenario, the hypothesis raised is that the use of embeddings in a semantic search approach will make search results more meaningfully. Embeddings allow to minimize problems arising from terminology and context mismatch. This work proposes a semantic similarity function to support semantic search based on hyper relational knowledge graphs. This function uses embeddings in order to find the most similar nodes that satisfy a user query.

scholarly journals An Art of Review on Conceptual based Information Retrieval

Webology ◽  
2021 ◽  
Vol 18 (SI02) ◽  
pp. 21-31
Author(s):  
P. Mahalakshmi ◽  
N. Sabiyath Fathima
Keyword(s):  
Information Retrieval ◽  
Keyword Search ◽  
Semantic Representation ◽  
Research Work ◽  
Semantic Search ◽  
Future Research ◽  
Conceptual Information ◽  
Retrieval Systems ◽  
User Query ◽  
Information Retrieval Systems

Basically keywords are used to index and retrieve the documents for the user query in a conventional information retrieval systems. When more than one keywords are used for defining the single concept in the documents and in the queries, inaccurate and incomplete results were produced by keyword based retrieval systems. Additionally, manual interventions are required for determining the relationship between the related keywords in terms of semantics to produce the accurate results which have paved the way for semantic search. Various research work has been carried out on concept based information retrieval to tackle the difficulties that are caused by the conventional keyword search and the semantic search systems. This paper aims at elucidating various representation of text that is responsible for retrieving relevant search results, approaches along with the evaluation that are carried out in conceptual information retrieval, the challenges faced by the existing research to expatiate requirements of future research. In addition, the conceptual information that are extracted from the different sources for utilizing the semantic representation by the existing systems have been discussed.

scholarly journals Method for Retrieving Digital Agricultural Text Information Based on Local Matching

Symmetry ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1103
Author(s):  
Yue Song ◽  
Minjuan Wang ◽  
Wanlin Gao
Keyword(s):  
Recall Rate ◽  
Retrieval Method ◽  
Retrieval Time ◽  
Search Results ◽  
Retrieval Efficiency ◽  
Query Tree ◽  
Text Information ◽  
Relationship Of ◽  
The Relationship ◽  
Precision Rate

In order to improve the retrieval results of digital agricultural text information and improve the efficiency of retrieval, the method for searching digital agricultural text information based on local matching is proposed. The agricultural text tree and the query tree are constructed to generate the relationship of ancestor–descendant in the query and map it to the agricultural text. According to the retrieval method of the local matching, the vector retrieval method is used to calculate the digital agricultural text and submit the similarity between the queries. The similarity is sorted from large to small so that the agricultural text tree can output digital agricultural text information in turn. In the case of adding interference information, the recall rate and precision rate of the proposed method are above 99.5%; the average retrieval time is between 4s and 6s, and the average retrieval efficiency is above 99%. The proposed method is more efficient in information retrieval and can obtain comprehensive and accurate search results, which can be used for the rapid retrieval of digital agricultural text information.

High Achieving Students and Moral Judgment

1993 ◽  
Vol 16 (3) ◽  
pp. 268-279 ◽  
Author(s):  
Darcia Narváez
Keyword(s):  
Moral Judgment ◽  
High Achievers ◽  
Alternative View ◽  
General Factor ◽  
Domain Specific ◽  
High Achieving Students ◽  
High Achieving ◽  
Relationship Of ◽  
The Relationship ◽  
Reporting Data

Research exploring the relationship of intellectual aptitude to moral judgment has indicated that, as a group, those with a high intellectual aptitude score significantly above their age peers on measures of moral judgment. These data support the contention that intelligence is a “general factor” that cuts across domains. Some theorists have advocated an alternative view, that intelligence is domain specific. In looking at high achievers, the current study offers support for both views by reporting data that indicate a dependence of moral judgment precocity upon high intellectual achievement. As a group, the high achieving students scored higher on the Defining Issues Test's Principled score. However, there was a wide variation in scores among the high achievers, indicating that apparent intellectual aptitude was not enough for high scores in moral judgment. This variance, along with the fact that no low achiever received an unusually high score, supports the “independent domains” hypothesis of intelligence.

Some Comments on the Use of Mathematical Models in Anthropology

1974 ◽  
Vol 39 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Dwight W. Read
Keyword(s):  
Mathematical Models ◽  
Significant Role ◽  
Important Place ◽  
Anthropological Theory ◽  
Relationship Of ◽  
The Relationship

AbstractIt has become increasingly apparent that mathematical models may play a significant role in anthropological methodology. Less apparent is the fact that such models have an important place in formulation of theory as well. At the same time, many errors appear in attempts to use mathematical models. This paper attempts to indicate the nature of such errors and a methodology by which they can be avoided. A case study is presented showing the relationship of mathematical models to anthropological theory.

scholarly journals Racial Conflict in the Selected Plays of William Shakespeare

2021 ◽  
Vol 9 (5) ◽  
pp. 95-111
Author(s):  
Shahaji Mastud
Keyword(s):  
Seventeenth Century ◽  
William Shakespeare ◽  
Racial Discrimination ◽  
Significant Role ◽  
Racial Segregation ◽  
Black And White ◽  
Racial Conflict ◽  
The Core ◽  
Relationship Of ◽  
The Relationship

William Shakespeare embraces the racial concerns of the seventeenth century in his various plays. The racial clash was one of the significant inquiries of the seventeenth century. There were numerous prohibitions against the relationship of black and white. The etymological colonialism was at the core of the Shakespearean dramatization that rendered on racism. The language utilized as a pioneering instrument for racial discrimination. Moreover, Shakespeare's play was effectively associated with darker-looking individuals during Elizabethan times. Therefore, the darker-looking Othello and the Jewish Shylock have assumed a significant role in the play. They dominated their respective play, that’s why Shakespeare's works depict the dramatization of racial conflict. There are numerous cases of racial segregation in the current situation, so the issue of race is expected to be re-evaluated with a fresh point of view.This knowledge will help to solve the problem of racial conflict with ground breaking thoughts.

scholarly journals Semantic-based Recommendation Tool for Library Management System using Domain Specific Ontology

2019 ◽  
Vol 8 (3) ◽  
pp. 3755-3760
Keyword(s):  
User Satisfaction ◽  
Management System ◽  
Query Languages ◽  
Semantic Search ◽  
Keyword Query ◽  
Library Management ◽  
Domain Specific ◽  
Query Recommendation ◽  
User Query ◽  
Library Management System

Semantic search plays a vital role for improving the output of information retrieval in today’s scenario. Users those who want to find the necessary information always feel comfortable to submit queries based on related keywords to the search engine. But, the major drawback of submitting keyword query is ambiguity. So, we are moving to semantic based search. Many traditional approaches like semantic search depending on ontology encourages user to type a formal language query. Most of the novice users are not aware of formal query languages. To resolve the above drawback and enhance the retrieval effectiveness, a semantic based recommendation tool using domain specific ontology is proposed. And also to solve the limitations of usability, a query interface has to be provided to the users in which the users can enter the natural language query. To implement this semantic based recommendation tool, a domain-specific ontology is used through which accurate search results can be achieved. This Query Recommendation tool is proposed for Library Management System which uses Library Ontology for Query Recommendation. This tool compares the input query given by the user related to Library with the Library ontology and other possible queries which are related to the user query are generated from the ontology based on different entities and relationship. The queries which are extracted from the ontology using entities and properties along with query log are recommended alternative to the user’s initial query. Since, the queries are extracted based on the semantics by which the concepts related to the user query are revealed, more relevant information is retrieved which leads to user satisfaction

Domain-specific readability measures to improve information retrieval in the Persian language

2018 ◽  
Vol 36 (3) ◽  
pp. 430-444
Author(s):  
Sholeh Arastoopoor
Keyword(s):  
Information Retrieval ◽  
Computer Science ◽  
Web Search ◽  
Content Type ◽  
Domain Specific ◽  
Search Results ◽  
Persian Language ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Primary Focus

Purpose The degree to which a text is considered readable depends on the capability of the reader. This assumption puts different information retrieval systems at the risk of retrieving unreadable or hard-to-be-read yet relevant documents for their users. This paper aims to examine the potential use of concept-based readability measures along with classic measures for re-ranking search results in information retrieval systems, specifically in the Persian language. Design/methodology/approach Flesch–Dayani as a classic readability measure along with document scope (DS) and document cohesion (DC) as domain-specific measures have been applied for scoring the retrieved documents from Google (181 documents) and the RICeST database (215 documents) in the field of computer science and information technology (IT). The re-ranked result has been compared with the ranking of potential users regarding their readability. Findings The results show that there is a difference among subcategories of the computer science and IT field according to their readability and understandability. This study also shows that it is possible to develop a hybrid score based on DS and DC measures and, among all four applied scores in re-ranking the documents, the re-ranked list of documents based on the DSDC score shows correlation with re-ranking of the participants in both groups. Practical implications The findings of this study would foster a new option in re-ranking search results based on their difficulty for experts and non-experts in different fields. Originality/value The findings and the two-mode re-ranking model proposed in this paper along with its primary focus on domain-specific readability in the Persian language would help Web search engines and online databases in further refining the search results in pursuit of retrieving useful texts for users with differing expertise.

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