[Semantic Web]ABC
--------------------------------------------
Step1: The birth May 17, 2001 on Scientific American
Title: The Semantic Web: A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities
link:
English Vision
Chinese Vision
--------------------------------------------
Step 2: Primers and Guidlines
Title: The Semantic Web: A Primer
by Edd Dumbill
November 01, 2000
Link:
English Vision
Title: A Semantic Web Primer
Link:
English Vision
Totle: RDF Primer(W3C Recommendation 10 February 2004)
Link:
English Vision
Chinese Vision
Totle: Protege OWL Tutorial
Link:
English Vision
--------------------------------------------
Step3: Papers on Journals
International Journal on Semantic Web and Information Systems
Journal of Web Semantics
Web Semantics: Science, Services and Agents on the World Wide Web
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Step4: Papers on Proceedings
ISWC (International Semantic Web Conference)
WWWC(World Wide Web Conference) semantic web track
ESWS(European Semantic Web Symposium)
SWEB(International Workshop on Semantic Web Technologies in Electronic Business)
EKAW(Workshop on Knowledge Management and the Semantic Web)
SWDB(International Workshop on Semantic Web and Databases)
PPSWR(Workshop on Principles and Practice of Semantic Web Reasoning)
--------------------------------------------
Step5: Your ideas and works
……………………
2006年1月21日
2006年1月20日
My old schools
I have a soft spot in my heart for my old schools. These days, I called at my junior high school and senior high school. Some teachers had recognized me all the same. I chatted with them. There were many pieces of wonderful news about the schools. The senior high school had a website link http://www.21sjzg.com/sichuan/scedu/shool/cd/emez/index.htm. I thought now, it was very beautiful.
I loved my old schools. Because they were my education base. They kneaded and shaped my character. They teached me a lot. May they splendid achievements and futures.
I loved my old schools. Because they were my education base. They kneaded and shaped my character. They teached me a lot. May they splendid achievements and futures.
2006年1月19日
Graphical Models and Inference
This afternoon, I started my winter vacation studying plan. The first material was the course Graphical Models and Inference of University of Oxford. The course was hold in October, 2005.
I had studied three chapters of it. The first three chapters were Conditional Independence, Markov properties on Undirected Graphs, and Log-Linear Models. Before my reading, I had known little about Graphical Model. Now, I had found some basic information on graphical model. To Graph Theory, there could be some probability for the node and edges. So Graphical Model had been invented. There were some famous models could be included in such theory framework, such as Markov Model, Hidden Markov Model, Maximum Entropy Markov Model, Conditional Random Field. Their relation could be realized in Graphical Model.
Althoug I had read only three chapters about it, I thouht I had been interested in it very much. I would study on it in thix vinter vocation. I would conclude in my blog after some days.
I had studied three chapters of it. The first three chapters were Conditional Independence, Markov properties on Undirected Graphs, and Log-Linear Models. Before my reading, I had known little about Graphical Model. Now, I had found some basic information on graphical model. To Graph Theory, there could be some probability for the node and edges. So Graphical Model had been invented. There were some famous models could be included in such theory framework, such as Markov Model, Hidden Markov Model, Maximum Entropy Markov Model, Conditional Random Field. Their relation could be realized in Graphical Model.
Althoug I had read only three chapters about it, I thouht I had been interested in it very much. I would study on it in thix vinter vocation. I would conclude in my blog after some days.
2006年1月18日
[2006-01-13]YOCSEF Conference: Content-based Searching and Search Engines
YOCSEF Conference: Content-based Searching and Search Engines
2006-01-13 14:00~18:00
This afternoon, there was an YOCSEF meeting on Content-based Searching and Search Engines. The meeting location was in Beijing University.
Our Prof. Tliu was the Executive Chairman. The three famous speakers were from Research institute of university, famous Enterprise to World-level research institute.
My supervisor Prof. Tliu gave a wonderful introduction about this meeting firstly. His speech, in my opinion, was perfect. He concluded the most important things and men of 2005.
Then Shuo Bai gave first topic on Several development on Text Mining. His presentation was wonderful. There were three main points:
1) Analysis on very huge scale rule text corpora and obtain the macroscopically characters in special scopes.
2) Model and analysis people, institute, location, events, music, software, and other abstractive objects, then obtain the related properties, relations and documents.
3) Integrate structure and un-structure data mining based on XML frames.
In his talk, I concerned some points. Document Representation has four types: Links analysis, Expand Factor (each word’s neighbors are especially. It is some statistical characters), graph expression (node is word, edge is co-occurrence frequency. Used for sub-graph finding). Document representation is the link node of natural language shallow processing, classification and clustering, and information extraction.
There were several macroscopically characters, such as single document trends analysis, attitude search engine, public opinion index, popular sequence(such as popular words, virus, and hot topic) analysis, event tracking, human tracking, and research paper&topics track.
In the audience asking time, I asked Mr. Shuo Bai a question on XML. He agreed with my opinion on XML was only a representation form and tool. The essential technology was same. To XML, document could be represented by hierarchy. With ample tools assistant, XML could be very useful to NLP and IR. Maybe it was a newly revolution.
The second topic was of Pei Chen who was the CEO of ZhongSou(Chinese Search). Pei Chen was a media event in 2005. He had several words cited often now. You could visit some of them as following:
陈沛简介
中国搜索总裁陈沛简介
中搜CEO陈沛做主题演讲
中国搜索总裁陈沛做客《专访间》
陈沛:走向中国搜索引擎4.0时代
His presentation in this forum was the future of search(搜索的未来). This was the first time I heard his presentation. In my opinion, he was sure of himself. His ZhongSou was famous now. I wished his success! He defined the third stage of search as the combination of dictionary(list earlier Yahoo) and keyword based search engine(like google just now). And his ZhongSou was ample with his idea. Yeah! When I heard his words on introducing the third stage of search, I was excited. Because I had similiar idea on our English short search engine. I was so glad to meet similiar idea. Pei Chen's analysis on the third stage of search was very good. I agreed his idea. Yes. Now we needed a stronger search engine. It should be of the feature on navigation for web and keyword searching. To the popular search engine, we could only search something. But we could not do anything for knowing things out of our mind. So this was the fault. I was looking forward more powerful one.
The third presentation was given by Dr.Huican Zhu. He was the professional engineer of Google China. He introduced some operation for business search engine. There were lots of introduction about information retrieval. I had known it a little. So I was interested in the final introduction about google. The speaker introduced the papers site of googlers. The link of google papers was http://labs.google.com/papers. I had found many good papers in this link.
Finally, Dr.Huican Zhu gave some introduction about the challenges for search engine. I recorded the later two. First was Natural Language Processing(NLP) for understanding the question and relevant facts. The other was Semantic Web which could make data easier to process and understand.
To the two challenges, NLP was our main research direction. So we could do more research on NLP for information retrieval. Semantic web had been invested a little by me. I knew it was very popular now. We could do lots of works on it.
--------------------------------------------------
In a word, this was a successful forum on searching. I gained a lot.
2006-01-13 14:00~18:00
This afternoon, there was an YOCSEF meeting on Content-based Searching and Search Engines. The meeting location was in Beijing University.
Our Prof. Tliu was the Executive Chairman. The three famous speakers were from Research institute of university, famous Enterprise to World-level research institute.
My supervisor Prof. Tliu gave a wonderful introduction about this meeting firstly. His speech, in my opinion, was perfect. He concluded the most important things and men of 2005.
Then Shuo Bai gave first topic on Several development on Text Mining. His presentation was wonderful. There were three main points:
1) Analysis on very huge scale rule text corpora and obtain the macroscopically characters in special scopes.
2) Model and analysis people, institute, location, events, music, software, and other abstractive objects, then obtain the related properties, relations and documents.
3) Integrate structure and un-structure data mining based on XML frames.
In his talk, I concerned some points. Document Representation has four types: Links analysis, Expand Factor (each word’s neighbors are especially. It is some statistical characters), graph expression (node is word, edge is co-occurrence frequency. Used for sub-graph finding). Document representation is the link node of natural language shallow processing, classification and clustering, and information extraction.
There were several macroscopically characters, such as single document trends analysis, attitude search engine, public opinion index, popular sequence(such as popular words, virus, and hot topic) analysis, event tracking, human tracking, and research paper&topics track.
In the audience asking time, I asked Mr. Shuo Bai a question on XML. He agreed with my opinion on XML was only a representation form and tool. The essential technology was same. To XML, document could be represented by hierarchy. With ample tools assistant, XML could be very useful to NLP and IR. Maybe it was a newly revolution.
The second topic was of Pei Chen who was the CEO of ZhongSou(Chinese Search). Pei Chen was a media event in 2005. He had several words cited often now. You could visit some of them as following:
陈沛简介
中国搜索总裁陈沛简介
中搜CEO陈沛做主题演讲
中国搜索总裁陈沛做客《专访间》
陈沛:走向中国搜索引擎4.0时代
His presentation in this forum was the future of search(搜索的未来). This was the first time I heard his presentation. In my opinion, he was sure of himself. His ZhongSou was famous now. I wished his success! He defined the third stage of search as the combination of dictionary(list earlier Yahoo) and keyword based search engine(like google just now). And his ZhongSou was ample with his idea. Yeah! When I heard his words on introducing the third stage of search, I was excited. Because I had similiar idea on our English short search engine. I was so glad to meet similiar idea. Pei Chen's analysis on the third stage of search was very good. I agreed his idea. Yes. Now we needed a stronger search engine. It should be of the feature on navigation for web and keyword searching. To the popular search engine, we could only search something. But we could not do anything for knowing things out of our mind. So this was the fault. I was looking forward more powerful one.
The third presentation was given by Dr.Huican Zhu. He was the professional engineer of Google China. He introduced some operation for business search engine. There were lots of introduction about information retrieval. I had known it a little. So I was interested in the final introduction about google. The speaker introduced the papers site of googlers. The link of google papers was http://labs.google.com/papers. I had found many good papers in this link.
Finally, Dr.Huican Zhu gave some introduction about the challenges for search engine. I recorded the later two. First was Natural Language Processing(NLP) for understanding the question and relevant facts. The other was Semantic Web which could make data easier to process and understand.
To the two challenges, NLP was our main research direction. So we could do more research on NLP for information retrieval. Semantic web had been invested a little by me. I knew it was very popular now. We could do lots of works on it.
--------------------------------------------------
In a word, this was a successful forum on searching. I gained a lot.
2006年1月17日
[Recommand]Gmail Drive: 方便外出
Gmail网络磁盘在你的电脑上利用Gmail帐号空间生成一个的网络磁盘。你可以在Gmail网络磁盘上进行任何复制、粘贴、删除、创建新文件夹,甚至拖放操作,文件存放在Gmail的服务器上,只要连着互联网,你的文件就可以随时随地拿出来分享了。当然前提是你必须有一个Gmail的帐户!
http://google.tohot.com/gmail/
http://google.tohot.com/gmail/
2006年1月16日
Eight hours in Chengdu railway station
In the morning, at 5:30, the train arrivec at Chengdu railway station. I was excited. If everything went well, I could be home at this noon. When I went to transfer the ticket, there was a very long queue up at the box office. I could do nothing except line up in the queue.
Transport during the Spring Festival was terrible. Although it was six o'clock in the morning, there was not any ticket for my hometown in the morning. Finally, I bought the ticket at four o'clock in the afternoon. So there was ten hours for my staying at the railway station. I planed to have a good sleep there. On my way around the station, there was a Internet Bar.
I went into it and fell little warm. Because in the early morning, it was little cold.
After checking my mail box and machine learning forum, I felt very tired and sleepy. I could not help to sleeping. Before sleepiing, I opened the music of Chopin. It was after about half and one hours, I waked up. As I had had breakfast when I was waiting for the transferring ticket, I began to surf on the internet.
By google talk, I chatted with some friends with microphone. With a friend of Tianjin, we chatted about the recent research hotspot on text classification. We exchanged our ideas we learnt recently. Our conclusion was using word sense extention, we could select the better representation for document and gain the better classification performance. I told some guide from Dr. Ming Zhou to him. He suggested me to think more about the guide from Dr. Ming Zhou and choose one best direction for my Ph.D. research. Choosing is the most difficult thing in the world. I believed so.
Luckily, I met Yajie on QQ. We had missed each other four days. We talked a lot on our recent life.
In the noon, I had nice dinner in a little restaurant. I ordered Tofu pudding and Saute salted pork slice. They two were famous in Sichuan cuisine. I felt best with them.
When it was 16:10, my train started. It stopped at 18:15. When I reached in the center of my hometown, it was raining. I had not seen rain for several months. The rain was good. 19:30, I got home. My parents were excited. Me too.
Transport during the Spring Festival was terrible. Although it was six o'clock in the morning, there was not any ticket for my hometown in the morning. Finally, I bought the ticket at four o'clock in the afternoon. So there was ten hours for my staying at the railway station. I planed to have a good sleep there. On my way around the station, there was a Internet Bar.
I went into it and fell little warm. Because in the early morning, it was little cold.
After checking my mail box and machine learning forum, I felt very tired and sleepy. I could not help to sleeping. Before sleepiing, I opened the music of Chopin. It was after about half and one hours, I waked up. As I had had breakfast when I was waiting for the transferring ticket, I began to surf on the internet.
By google talk, I chatted with some friends with microphone. With a friend of Tianjin, we chatted about the recent research hotspot on text classification. We exchanged our ideas we learnt recently. Our conclusion was using word sense extention, we could select the better representation for document and gain the better classification performance. I told some guide from Dr. Ming Zhou to him. He suggested me to think more about the guide from Dr. Ming Zhou and choose one best direction for my Ph.D. research. Choosing is the most difficult thing in the world. I believed so.
Luckily, I met Yajie on QQ. We had missed each other four days. We talked a lot on our recent life.
In the noon, I had nice dinner in a little restaurant. I ordered Tofu pudding and Saute salted pork slice. They two were famous in Sichuan cuisine. I felt best with them.
When it was 16:10, my train started. It stopped at 18:15. When I reached in the center of my hometown, it was raining. I had not seen rain for several months. The rain was good. 19:30, I got home. My parents were excited. Me too.
2006年1月15日
Whole day on train
It was a pure whole day of my seating on train. Last night, in a word, I had not sleep well. I had only two states.
Firstly, when I was very sleepy, I armed on the corner of the table and recline my head on my arms. I could not count the time then. But maybe after half an hour, my arms were not well. I fell pins and needles in my arms. So I should change into another semi-sleeping state.
I leaned my head and back against the back of my seat and sleeped again. As you know, it was not proper pose for sleeping. I would swing my head. After standing up a short while, my head would swing into lower position. So maybe after a hour, my neck would be with pins and needles. So I should change into the first state.
As my position was in the middle and near by the passage. I had only the two sleeping states. I thought it was very unendurable. When it was nine in the morning, I had slept enough. Then I changed myself into the nice states.
In the day, I chatt little with the people in my same partition. We played card several times. Excepting chatting, sleeping, playing card, having meal, I was watching out of the windows. The scenes were chanding very fast. In the north, I could see snow. But when we went into Henan and Shanxi, there was not any snow. The sunshine was perfect. I fell very good. Yeah! If you was ln train, you would have good chance to view all kinds of scenes. It was a pleasure of journey.
Firstly, when I was very sleepy, I armed on the corner of the table and recline my head on my arms. I could not count the time then. But maybe after half an hour, my arms were not well. I fell pins and needles in my arms. So I should change into another semi-sleeping state.
I leaned my head and back against the back of my seat and sleeped again. As you know, it was not proper pose for sleeping. I would swing my head. After standing up a short while, my head would swing into lower position. So maybe after a hour, my neck would be with pins and needles. So I should change into the first state.
As my position was in the middle and near by the passage. I had only the two sleeping states. I thought it was very unendurable. When it was nine in the morning, I had slept enough. Then I changed myself into the nice states.
In the day, I chatt little with the people in my same partition. We played card several times. Excepting chatting, sleeping, playing card, having meal, I was watching out of the windows. The scenes were chanding very fast. In the north, I could see snow. But when we went into Henan and Shanxi, there was not any snow. The sunshine was perfect. I fell very good. Yeah! If you was ln train, you would have good chance to view all kinds of scenes. It was a pleasure of journey.
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