The research aim is to construct a disease-symptom knowledge graph (DSKG) as cause-effect containing relations relation type determined from downloaded documents on medical web-board resources. Each connects disease-name concept node (a causative-concept node) corresponding having group of correlated symptom-concept/effect-concept features common among some concepts. DSKG benefits non-professio...

Purpose The Web provides its users with abundant information. Unfortunately, when a Web search is performed, both users and search engines must deal with an annoying problem: the presence of spam documents that are ranked among legitimate ones. The mixed results downgrade the performance of search engines and frustrate users who are required to filter out useless information. To improve the qua...

The World Wide Web is an enormous collection of information resources serving for various purposes. However the diversity of the Web information as well as the relared formats makes it vety difficult for users to efficiently search and obtain the information they require, The reason for the difficulty is because most of the information uploaded to the Web is unstructured or less structured. Man...

The larger amount of information on the Web is stored in document databases and is not indexed by general-purpose search engines (such as Google and Yahoo). Databases dynamically generate a list of documents in response to a user query – which are referred to as Hidden Web databases. Such documents are typically presented to users as templategenerated Web pages. This paper presents a new approa...

In this paper web search queries are optimized using genetic algorithm based on clustered query sessions for effective Personalized Web Search. The purpose of web queries optimization is to bridge the vocabulary gap between web queries and documents relevant to the queries in order to retrieve relevant documents for effective information retrieval. These optimal set of queries are used for reco...

Previous studies on extracting class attributes from unstructured text consider either Web documents or query logs as the source of textual data. Web search queries have been shown to yield attributes of higher quality. However, since many relevant attributes found in Web documents occur infrequently in query logs, Web documents remain an important source for extraction. In this paper, we intro...

background: most adult patients with diabetes have at least one comorbid chronic condition and approximately 40% have three or more. the purpose of this study was to investigate detailed characteristics of studies examining comorbidities of diabetes in iran and to identify knowledge gaps in this field. methods: all documents published by iranian authors in national and international journals un...