在《存在与时间》一书中,海德格尔把“此在”作为追问人“存在”的可能性。传统哲学的本体论问题是“存在”问题,“此在”对“存在”的追问内在地就包含着理解和解释,但“存在”唯有通过能追问存在意义的“此在”来揭示和澄明。海德格...在《存在与时间》一书中,海德格尔把“此在”作为追问人“存在”的可能性。传统哲学的本体论问题是“存在”问题,“此在”对“存在”的追问内在地就包含着理解和解释,但“存在”唯有通过能追问存在意义的“此在”来揭示和澄明。海德格尔将形而上学的超越性落实在人的存在即“此在”之上,“此在”在其整体性中是“向死而在”,《存在与时间》的核心思想是以“此在分析论”的日常实践活动图景的展开为背景的。In Martin Heidegger’s book “Being and Time”, he considers Dasein as the possibility for inquiring about human “existence”. The ontological problem in philosophy is the problem of “being”, and the inquiry of Dasein into existence inherently includes understanding and interpretation. However, being can only be revealed and clarified through the “Dasein” that can question the meaning of existence. Heidegger grounds the transcendence of metaphysics in human existence, that is, Dasein. In its entirety, Dasein is “being-towards-death”, and everyday practical activities are the central paradigm that Heidegger’s “Dasein analytic” takes as its orientation. The core idea of “Being and Time” is set against this backdrop.展开更多
Based on systematically analyzing the procedure of hazard and operability (HAZOP) study, the author introduces a method of modeling fault diagnosis with the Petri net with fuzzy colors, in which the fuzzy information ...Based on systematically analyzing the procedure of hazard and operability (HAZOP) study, the author introduces a method of modeling fault diagnosis with the Petri net with fuzzy colors, in which the fuzzy information can be represented effectively in the process of analysis. The author proposes the architecture of a knowledge base, which integrates HAZOP analysis and fault diagnosis, and provides the conditions for constructing the knowledge-based expert system. The author also presents a method of knowledge representation for on-line HAZOP analysis and on-line fault diagnosis is presented based on the technology of Petri net with fuzzy colors, which establishes a technological fundamental for integrating the automatic HAZOP analysis and fault diagnosis.展开更多
In order to solve the problem that current search engines provide query-oriented searches rather than user-oriented ones, and that this improper orientation leads to the search engines＇ inability to meet the personal...In order to solve the problem that current search engines provide query-oriented searches rather than user-oriented ones, and that this improper orientation leads to the search engines＇ inability to meet the personalized requirements of users, a novel method based on probabilistic latent semantic analysis （PLSA） is proposed to convert query-oriented web search to user-oriented web search. First, a user profile represented as a user＇ s topics of interest vector is created by analyzing the user＇ s click through data based on PLSA, then the user＇ s queries are mapped into categories based on the user＇ s preferences, and finally the result list is re-ranked according to the user＇ s interests based on the new proposed method named user-oriented PageRank （UOPR）. Experiments on real life datasets show that the user-oriented search system that adopts PLSA takes considerable consideration of user preferences and better satisfies a user＇ s personalized information needs.展开更多
To further enhance the efficiencies of search engines,achieving capabilities of searching,indexing and locating the information in the deep web,latent semantic analysis is a simple and effective way.Through the latent...To further enhance the efficiencies of search engines,achieving capabilities of searching,indexing and locating the information in the deep web,latent semantic analysis is a simple and effective way.Through the latent semantic analysis of the attributes in the query interfaces and the unique entrances of the deep web sites,the hidden semantic structure information can be retrieved and dimension reduction can be achieved to a certain extent.Using this semantic structure information,the contents in the site can be inferred and the similarity measures among sites in deep web can be revised.Experimental results show that latent semantic analysis revises and improves the semantic understanding of the query form in the deep web,which overcomes the shortcomings of the keyword-based methods.This approach can be used to effectively search the most similar site for any given site and to obtain a site list which conforms to the restrictions one specifies.展开更多
文摘在《存在与时间》一书中,海德格尔把“此在”作为追问人“存在”的可能性。传统哲学的本体论问题是“存在”问题,“此在”对“存在”的追问内在地就包含着理解和解释,但“存在”唯有通过能追问存在意义的“此在”来揭示和澄明。海德格尔将形而上学的超越性落实在人的存在即“此在”之上,“此在”在其整体性中是“向死而在”,《存在与时间》的核心思想是以“此在分析论”的日常实践活动图景的展开为背景的。In Martin Heidegger’s book “Being and Time”, he considers Dasein as the possibility for inquiring about human “existence”. The ontological problem in philosophy is the problem of “being”, and the inquiry of Dasein into existence inherently includes understanding and interpretation. However, being can only be revealed and clarified through the “Dasein” that can question the meaning of existence. Heidegger grounds the transcendence of metaphysics in human existence, that is, Dasein. In its entirety, Dasein is “being-towards-death”, and everyday practical activities are the central paradigm that Heidegger’s “Dasein analytic” takes as its orientation. The core idea of “Being and Time” is set against this backdrop.
文摘Based on systematically analyzing the procedure of hazard and operability (HAZOP) study, the author introduces a method of modeling fault diagnosis with the Petri net with fuzzy colors, in which the fuzzy information can be represented effectively in the process of analysis. The author proposes the architecture of a knowledge base, which integrates HAZOP analysis and fault diagnosis, and provides the conditions for constructing the knowledge-based expert system. The author also presents a method of knowledge representation for on-line HAZOP analysis and on-line fault diagnosis is presented based on the technology of Petri net with fuzzy colors, which establishes a technological fundamental for integrating the automatic HAZOP analysis and fault diagnosis.
基金The National Natural Science Foundation of China(No60573090,60673139)
文摘In order to solve the problem that current search engines provide query-oriented searches rather than user-oriented ones, and that this improper orientation leads to the search engines＇ inability to meet the personalized requirements of users, a novel method based on probabilistic latent semantic analysis （PLSA） is proposed to convert query-oriented web search to user-oriented web search. First, a user profile represented as a user＇ s topics of interest vector is created by analyzing the user＇ s click through data based on PLSA, then the user＇ s queries are mapped into categories based on the user＇ s preferences, and finally the result list is re-ranked according to the user＇ s interests based on the new proposed method named user-oriented PageRank （UOPR）. Experiments on real life datasets show that the user-oriented search system that adopts PLSA takes considerable consideration of user preferences and better satisfies a user＇ s personalized information needs.
文摘To further enhance the efficiencies of search engines,achieving capabilities of searching,indexing and locating the information in the deep web,latent semantic analysis is a simple and effective way.Through the latent semantic analysis of the attributes in the query interfaces and the unique entrances of the deep web sites,the hidden semantic structure information can be retrieved and dimension reduction can be achieved to a certain extent.Using this semantic structure information,the contents in the site can be inferred and the similarity measures among sites in deep web can be revised.Experimental results show that latent semantic analysis revises and improves the semantic understanding of the query form in the deep web,which overcomes the shortcomings of the keyword-based methods.This approach can be used to effectively search the most similar site for any given site and to obtain a site list which conforms to the restrictions one specifies.
