Express OIL Ontology Language In RDF

Today popularizes day by day which in World Wide Web, the people fully realize to the network huge charm. But on the net people all had known that, World Wide Web has two obvious insufficiencies: (1) the computer cannot understand the homepage content the semantics; (2) on the net the useful information is difficult to look, even if with the aid of the function formidable search engine, the accuracy ratio quite is also low, it while helps the web cam to obtain in groups correlation homepage, also mixed with information trash which many users does not need. The semantic network technology is one of current Internet engineering research hot spots. The semantic network is the Internet researcher to the next generation Internet name, through the expansion existing Internet, joins in the information expressed its meaning content, enables the computer to be possible to be automatic and the human joint operation. The semantic network will try hard "the understanding information meaning will be humanity's patent" this aspect becomes the history, will cause the computer also similarly to be possible to achieve in the certain degree, thus will be helpful to information sharing, uses again, and will enable the network dynamically to provide, the personalization, the initiative service. The semantic network system structure showed to us in the semantic network each level function and the characteristic, the semantic network research is gradual, first solves syntax (grammar) the stratification plane question, also is XML, then is the solution (data level) the basic resources description question, also is RDF, then is (main body level) the formalized description which relates to the resources between, is owl, daml_oil, these three step already basically completed. The network is a big database, we must find the information from the multitudinous network information which oneself needs, is through generally the search engine. Then, how the search engine is does work? Actually, in the search engine eliminates few like Yahoo! Outside, basically all is uses the homepage the full text to retrieve provides the retrieval service, so its accuracy ratio to lower. Yahoo! Collects it to the website and the homepage according to groups performs the index and the digest (by artificially completes), thus enhanced the accuracy ratio greatly, this also is an its popular important reason. But to so vast information sea if all uses the artificial index obviously is not realistic. If in the network resources on all use the number at the beginning of the foundation according to describe its own information that may omit the artificial index the trouble. How but uses the number according to describe, this has a standard, W3C proposes uses in describing Web resources RDF is a such standard. RDF has defined one kind of general frame, namely the resources -attribute -value three Yuan groups, cope with shifting events by sticking to a fundamental principle, describes on Web each kind of resources. Through RDF, the people may use own glossary to describe any resources, but the people are glad it to use in describing the Web stand and the page. Because uses is the structures XML data, the search engine may understand a Yuan data the precise meaning, causes the search tochange the intelligence more and to be accurate, definitely may avoid the current search engine returning to the irrelevant data frequently the situation. The natural premise is RDF and the standardized RDF glossary on Web the widespread use, moreover the search engine needs to be able to understand the use the glossary. But RDF only defined has used in describing the resources frame, which numbers hasn't it defined with according to describes the resources. This is precisely its wise place. Because describes the different resources number according to is different obviously, but if must define one kind of Yuan data set, including all types resources, this in at present not realistic. RDF uses is other one method, namely it allows anybody definition number according to describe the specific resources, because the resources attribute continues one kind, therefore in fact generally defines a Yuan data set, this is called as in RDF the word collection (Vocabulary). The word collection also is one kind of resources, may use URI to come only marking, like this, is using RDF describes resources time, may use each kind of word collection, so long as indicates them with URI then. The word collection also is one kind of resources, certainly may use RDF to describe its attribute as well as with other word collection relations, W3C for this proposed especially how RDF Schema does define uses RDF to describe the word collection, in other words RDF Schema is defines the RDF word collection the word collection, but this RDF the Schema casual any people all may define certainly to be sure, it only then, is the W3C definition edition.Essentially says, RDF has provided the expression actual statement language. RDF the schema further has enriched the expression formalization. Also basic main body modeling primitive introduction to web. RDF Schema has provided kind, the subclass, the sub-nature and nature domain and the range restraint. RDF Schema although for expresses the web resources number according to, has provided the definition glossary, the structure and the restraint mechanism. However, RDF Schema has not provided these primitive formalized semantics, and these primitive expression abilities to the completely mature main body modeling and the inference are insufficient. This article achievement starts the spot by RDF the schema, consummates RDF Schema to cause it to become based on the web completely mature main body language -is OIL. Ontology is a philosophy category most early, afterwards along with the artificial intelligence development, has given by the artificial intelligence the new definition. Ontology is shares the conceptual model the explicit formalized standard explanation. Ontology goal is the capture related domain knowledge, provides to this domain knowledge together understanding, determined in this domain approves together the glossary, and produces these glossaries from in the different level formalized pattern (terminology) and between the glossary the reciprocity is clear about the definition. Ontology through to between the concept strict definition and the concept relations determined the concept precise meaning, expressed the together approval, may share knowledge above, and thus solves the problem. Therefore insemantic Web, Ontology has the extremely important status, is solves in the semantic level Web information sharing and the exchange foundation. OIL (Ontology Interchange Language) is the partial semantic network researcher proposes the language, which uses in on the Internet ontology expressing. OIL was a standard main body language has pointed out a level method, each as soon as will increase the superimposed layer to increase Function and the complexity on the original level. In order to achieve provided an general main body language for the semantic network, OIL synthesized three different research results: (1) based on the frame system (Frame-based systems), (2) describes the logic (Description Logics), (3) Web standard XML and RDF. Describes ontology with OIL, needs to differentiate three different levels, namely: Object level, first Yuan level, dual level. The OIL very important aspect is its form semantics. OIL through maps object (or example) the set as well as each trough maps the object to the set but produces each kind its formalized semantics. This mapping must obey the restraint, which a kind of definition and the trough definition explained. The formalized semantics is the OIL application inference foundation. RDF has provided the basic modeling primitive -object and its relates has the rule three Yuan groups. RDF Schema through is RDF provides the glossary, enriched this basic model, RDF Schema had some semantics. This article through uses RDF Schema to define OIL, between multianalysis RDFS and OIL relations. In the OIL language, a kind of definition by a kind of name, the documents, the definition type, its ultra kind as well as thenature, which defines as it, is composed. In RDF Schema, the kind through produces its kind of name but to state merely. This article has analyzed a OIL kind of definition and RDF the schema kind of definition difference, which new contents thus produces OIL to increase, the new glossary. Two all can sub-assign a kind of name through respective structure, in other words sub-may express the OIL kind of definition head directly using the RDF Schema structure. OIL was a kind of definition increases the definition type; the OIL kind had primitive kind and the definition class. Like this should use RDF Schema to express primitive kind and the definition class. This article showed the definition formalization knowledge expressed the pattern expands RDF Schema is may change, effectively realized the semantic network main body to infer the level. Uses RDF Schema definition main body language OIL to achieve this goal, uses the extant primitive but to maintain the OIL showing and its corresponding RDF as far as possible the schema sequence explicit correspondence relations.