جستجوی مقالات مرتبط با کلیدواژه « Knowledge base » در نشریات گروه « کتابداری و مدیریت اطلاعات »

Introduction (Context): New businesses, especially in the field of information technology, play a fundamental role in creating innovation, employment and increasing the country's competitive advantage. Paying attention to the entrepreneurship ecosystem can purposefully direct the efforts of policymakers in the direction of the development of start-up businesses in Isfahan province.

In this research, we seek to provide a model for the development of the ecosystem of new businesses in the field of information technology in Isfahan province.

The current research is among applied research and has a mixed approach in terms of data collection. The research was conducted in the qualitative part using the theme analysis technique and targeted sampling, and 10 professors and experts, managers and activists of this field participated in the research. After defining the concepts and categories of the main and sub-themes identified in the research, using confirmatory factor analysis, each component of the model was examined to determine the appropriateness of each of the main and sub-themes identified in the research in the studied society. Make sure. To examine each of the components of the paradigm model, factor loadings, Cronbach's alpha value, average explained variance, and the significance level of Bartlett's test have been used.

The amount of factor loading, average explained variance, Cronbach's alpha coefficient and the combined reliability obtained for each of the research measures indicate a suitable and acceptable relationship between the measures and the constructs (factor loading and average explained variance) and the compatibility of the questions. For each component of the model (Cronbach's alpha coefficient and composite reliability) was

The research showed that the government, market, new knowledge, expert manpower, infrastructure, supporters, financial and intermediary services and networking constitute the components of the entrepreneurial ecosystem model of the fledgling businesses in the field of information technology.

The knowledge graph plays an important role in the Semantic Web and Natural Language Processing (NLP) tools. There are many knowledge bases in different languages, however lack of Farsi-specific knowledge base appears some defects in research and industrial applications. In this study, the most comprehensive knowledge base in Farsi language is presented, which consists of more than 500K of entities and 7 million relations, which is accessible open source. Data is supplied 3 sources: Farsi Wikipedia and its structured data such as infobox, Web tables, relation extraction module. According to the semantic web, RDF data model and OWL2 ontology employed to implement the Farsi Knowledge Graph (FKG). Resources and their relations are stored in triple format, therefor access to the knowledge graph is provided by a SPARQL endpoint. An ontology, retrieved from DBpedia ontology, was developed and improved Based on resources of Farsi Wikipedia. Also, more than 8000 templates and properties of Wikipedia were mapped to the ontology automatically and manually. Furthermore, a part of the ontology was mapped to the FarsNet, the Persian WordNet, for research purposes. In the graph, there are a large amount of information on a variety of topics including famous people, important places, organizations and companies, literary and art works, physiology, biology, events, species, astronomy, etc. According to the Linked data, most of entities in the FKG have been connected to DBpedia and Wikidata resources by owl:sameAs. In order to achieve high performance and flexible data model, a two-level architecture for storing data was designed to separate data from metadata. This design plays a key role in update operation and managing versions. For evaluation purposes, a small part of triples were randomly collected to build a test dataset for manually inspection. Experimental results demonstrate that more than 94% of triples were obtained correctly through the process of extraction, conversion, mapping, transformation and store. Future of internet according to the semantic web will be a complex and huge global knowledge base, therefor the FKG can play a significant role in defining and developing this emerging technology.