A semantic network is a graph which represents semantic relations between concepts, used in a lot of fields as a form of knowledge representation. This paper describes an automatic approach to identify semantic relations between concepts by using statistical information extracted from the Web. We automatically constructed an associative network starting from a lexicon. Moreover we applied these...

OBJECTIVE To semi-automatically induce semantic categories of eligibility criteria from text and to automatically classify eligibility criteria based on their semantic similarity. DESIGN The UMLS semantic types and a set of previously developed semantic preference rules were utilized to create an unambiguous semantic feature representation to induce eligibility criteria categories through hie...

the semantic network of the preposition 'ba' in persian: a cognitive study as one of the widely used prepositions in persian, 'ba' (i.e. with) may also function as an adjective particle or affix. this paper studies various meanings of preposition 'ba' within a cognitive lexical semantics framework. it aims to show that the various meanings of this preposition do not emerge randomly. drawing the...

The similarity between the semantic network method of knowledge representation in artificial intelligence and shastric Sanskrit was recently pointed out by Briggs. As a step towards further research in this field, we give here an overview of semantic networks and natural-language understanding based on semantic networks. It is shown that linguistic case frames are necessary for semantic network...

In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...

With the improvement of software copyright protection awareness, code obfuscation technology plays a crucial role in protecting key segments. As becomes more and complex diverse, it has spawned large number malware variants, which make easy to evade detection anti-virus software. Malicious mainly depends on binary similarity analysis. However, existing analysis technologies are difficult deal w...

among the modern methods propounded in linguistics in which they scientifically study the concept and is called semantics. in semantics, the meanings of words are explained via discovering the semantic field of words based on their relations in the semantic networks. in the context of the verses of holy quran, by help of this method, they research for the meanings of quran words. the concept of...

Introduction We are studying various metnods of representing numbers in semantic networks, Tnere are two reasons for tnis. First/ semantic networks nave been proposed since tne late sixties as formalisms for tne general representation of knowledge. Lately , tneir popularity has increased. Yet problem areas persist for whicn tne representations have not yet been carefully worked out. Some of tne...

OBJECTIVE The Unified Medical Language System (UMLS) combines many well-established authoritative medical informatics terminologies in one knowledge representation system. Such a resource is very valuable to the health care community and industry. However, the UMLS is very large and complex and poses serious comprehension problems for users and maintenance personnel. The authors present a repre...

In this paper, the concept of collaborative intelligent educational system is presented. Different knowledge representation models are compared in the context of their use in collaborative intelligent educational systems. Advantages of semantic networks for knowledge representation in such systems are described. Main advantages of extended semantic networks are shown and a set of basic operatio...