http://www.drugfuture.com/cnpat/cn_patent.asp
怎樣判定專利相似匹配度
某些專利相似度很大，特別是保護範疇廣義上是針對“接收/分析/處理/加工/輸出/再接收”信息的流程。對於信息源數據的存在形式和顯著特徵來區別應用型專利。步驟相似不重要，點子來源於微小的改進，隨之將這種創意注入實際的產品帶來的用戶體驗是被放大的。感性和理性的交融，解決了什麼問題是相對感性較多，隨之引發的到底有什麼區別和不同是進行理性剖析的結果。
專利檢索:
尋找關鍵字進行專利檢索來進行專利申請，可以考慮從如下幾個方面：
l limited primitives (noun)
l primary steps for information manipulation (verb)
l present product domain(noun)
TOO NARROW LEGAL SCOPE OF CLAIMING PATENTABLE INVENTIONS. Many issued patents are not commercially valuable because the scope of their submitted claims are particularly narrow, and can be relatively easily avoided by determined competitors. Thus when submitting new patent claim language, applicants should broadly define novel concepts that include potential design-arounds by other parties. Although this legal blocking strategy sounds easy enough to state as an objective, in fact, the serious exercise of analyzing future competitive and industry directions can be an extremely difficult task, particularly because the analysis often requires sophisticated market understanding, as well as technical and engineering vision.
Patent example
Claim: one use case <---> one independent claim
保護某系統的專利的獨立要求纂寫，一個用例對應一個獨立權利
1匹配系統：買賣雙方均向系統註冊交易興趣，單向動作觸發通知.
2匹配系統：即時沒有註冊出售興趣，車輛擁有者也會接到潛在買主的興趣通知。
3 產生興趣系統：未註冊出售興趣的車輛擁有者可以執行註冊出售興趣的操作
Notes: 一切能夠觸發/激發用戶潛意識的用例
Present phenomenon:
l exist entities of paper document and associated electronic counterpart
l counterpart is widely spread
l having useful ways of associating the two entities
Technical solution:
l A system
Benefit:
l A whole new layer of digital functionality for such conventional rendered documents without change of current processes of writing, printing and publishing documents
Notes:
l Extract the signature of the rendered document
l Do identify counterpart from candidates achieved through previous identification
Heuristic inference:
In near future we best need answers not links/ suggestions when asking for help.
設計更加智能，賦予理性和感性於一體的多角色系統。行爲分析，動態交互轉換模式
l Considering the daily operation to the system as emotional care, we treat the system as a pet also a friend. We can design the native system more flexible using:
1 寵物視角Periodically expressing emotion. Some people raise pet such as dogs, we would experience more interactively feeling when communicate with the system.
2 朋友視角Execute regular analysis for our behavior like logging websites and reading books. Give intelligent suggestions like related websites rank, needed other domain for reading according to the recent reading habit, let the brain think more powerfully and more comprehensively.
3 戀人視角 strategy according to time: On holiday providing happier and more natural content; enforce you to do your interesting activity which you could pre input; always thinking and responding as your girlfriend.
4 親人視角 pop up some questions parents eager to know, show some influence to the child such as save money, eating habit, health care.
呈現二次搜索結果基於對第一次搜索結果的分析,確立一個第三方信息源.類似啓發式搜索
專利title:
裝置，系統，方法；
製作工藝/方法/，生產方法；
實體（顯示器，安全閥，密封件，驅動電路…）
發明是發明人運用自然規律而提出解決某一特定問題的技術方案。所以我國專利法實施細則中指出“專利法所稱的發明是指對產品、方法或其改進所提出的新的技術方案”。發明人只有將這種技術方案向專利局提出申請，並且通過一系列嚴格的審查，特別是新穎性、創造性和實用性的審查；對符合規定的發明專利申請授予專利權。申請人還應按期辦理登記手續和繳納當年年費，這項發明專利申請才能正式成爲一項具有專利多種屬性的發明專利。
發明不同於發現。發現是揭示自然界已經存在的但尚未被人們所認識的自然規律和本質。而發明創造則是運用自然規律或本質去解決具體問題的技術方案。發現是不能獲得專利的。只有發明才能獲得專利。專利法中所指的發明僅僅是一項解決某一特定問題的技術方案，儘管這種技術方案的構思，在獲得專利權時，有的還沒有經過實踐證明可以直接用於工業生產，製造成某種具體的物品，所以這是一種無形的知識財產。
專利法所稱的發明分爲產品發明（如機器、儀器、設備和用具等）和方法發明（製造方法）兩大類。對於某些技術領域的發明，如疾病的診斷和治療方法、原子核變換方法取得的物質等都不授予專利權。計算機軟件的發明，
則要視其是否屬於單純的計算機軟件或能夠與硬件相結合的專用軟件，並加以區別對待，後者是可以申請專利保護的。隨着審查標準的變化，當前，單純的計算機軟件也可以單獨申請專利了，不再必須與硬件結合了。
News system
Category/topics
News duplication cause a recent time stamp
Sort by date or by relevance?
Automatically verify temporal characteristics of electronic document through additional third party sources.
Independent claim
We claim:
1 A method of providing relevant information to a user’s input that is performed by one or more first computing devices and one or more second computing devices, each first computing device including a processor and a memory, the method comprising:
While receiving text stream provided by the user’s input, repeatedly automatically performing the following by at least one of the one or more first computing devices:
Extracting words from the received text stream;
For each word within exacted words do following steps which includes:
Check correctness;
Do necessary adjustment for incorrect word;
Check availability;
Forming a query based at least in part upon the abstracted words;
Transmitting the query to at least one of one or more second computing devices;
Receiving information relevant to the query from at least one of the one or more second computing devices;
Displaying the relevant information by at least one of the one or more first computing devices;
2 The method of claim 1, further comprising:
Selecting at least one index to search;
Selecting the one or more second computing devices based at least in part upon the selected index.
3 The method of claim 1, wherein received text stream provided by the user input includes a single word, word phrase, one sentence or more.
4 The method of claim 1, wherein extracting words is implemented by the pre-defined extracting strategy.
5 The method of claim 4, wherein extracting strategy includes:
Do word segmentation
Filtering words based upon pre-existent uninteresting word file;
6 The method of claim 5, wherein the uninteresting word file contains most frequently used words in communications.
7 The method of claim 1, wherein check correctness is implemented by check component which check the word’s existence within pre-existent interesting word file which is corresponding with the one or more second computing devices,
8 The method of claim 7, wherein check component’s one core functions is to implement algorithms of phonetic matching, characters similarity matching and typo matching.
9 The method of claim 1, wherein incorrect word means the word not exists in pre-existent interesting word file.
10 The method of claim 1, wherein necessary adjustment means providing candidates similar to the incorrect word.
11 The method of claim 1, wherein check availability is implemented by check component which check if the correct word or the candidates for the incorrect word exist in dynamic pre-retrieved entry files.
12 The method of claim 11, wherein dynamic pre-retrieved entry files are retrieved by passive synchronizing request from one or more second computing devices or active request to one or more second computing devices.
13 The method of claim 12, wherein entry files contain mapping information of the associated second device to each entry file.
Summary
單詞實事匹配---輸入新聞詞與預抽取的新聞關鍵詞的匹配 (online)
內容關聯---新聞關鍵詞與對應新聞信息的關聯
自動捕獲關聯信息的方法
某種意義上（用例場景）是藉助人腦進行語音和文本信息進行轉換和關聯，廣義上還是一種信息關聯的實現方法
|
News Sources entry |
|
Data processing |
|
Text recognition |
|
Capture |
|
Access services |
|
News Sources |
|
Retrieve |
|
Markup analysis |
|
Actions |
|
Markup Sources |
|
Markup services |
|
Post-processing |
|
Indices & search engines |
|
Search & Context analy |
|
User and account info |
|
Context engines |
|
Direct actions |
|
Check& Adjustment |
|
Query construction |
|
News information flow chart
|
Note: “News Sources Entry” DB is constructed from abstracting associated key records to matching for presenting available information stored in “News Sources” DB
增加用戶訪問記錄和相對應的事務日誌記錄
Comparison with similar patent
Difference to patent
l Its available information is the format of document source:
Focus on how to find belonged or associated document source using the captured small portion of textual information. So all the separated module
We focus on News Source. The signature to identify the source is simple, because mostly the News entity content is more simple and smaller than a document. So the source entry is easy to get from the server for the devices to do the capture operation.
l Considering the difference of the source content, we do the balance and add source entry to do check and adjustment before construct query to do search.
This additional procedure has several benefits comparing to present tech:
1. reduce the unnecessary time-consuming interactions for invalid search query comparing this search
2. supply intelligent adjustment to produce candidates to do the search
3. make each search more meaningful
Front device repeatedly capture information and convert to document info to arouse the system to fetch related source to download document content to display associated information. So device A’s function role
Meeting discussion and resolution: (實用性，新穎性，創新性)
新穎性，是指該發明或者實用新型不屬於現有技術;
創造性，是指與現有技術相比，該發明具有突出的實質性特點和顯著的進步，該實用新型具有實質性特點和進步。
實用性，是指該發明或者實用新型能夠製造或者使用，並且能夠產生積極效果
User experience analysis; Abstract level’s expression
Find a similar target is to testify which point we really protect, so the sequence flow for abstracting the key point from the original idea is:
l the significant effect we have influenced on the present user experience
l the most essential technical point to identify our proposal’s novelty
l the benefit or improvement brought by the difference
The core difference to spell check patent is decided by primitives we observed or interested in.
Source is stable (dictionary data) VS mutable (news data), this make the following detailed aspect different.
l Implementation interaction mechanical is different.
Single devices (local service) VS two or more devices (Distributed service)
l Spell check focus on how to do proximity measurement, our emphasis is to get source entry to make each search efficient.
The commonality is that we all do validation and correctness for import information.
|
OVER THE WIRE |
|
News DB |
|
Dict search |
|
Spell check |
|
News entry DB |
|
Device B/C |
|
Entry transaction |
|
Device A |
|
News update |
|
News entry retrieve |
|
News Data Mapper |
|
News query |
|
Dictionary materials |
|
News Serialization |
|
News proxy |
|
News Serialization |
|
News stub |
|
Other services |
|
Architecture for the News system |
Note: Related to Device B
1 News DB contains Date Table/Catalog table/Word Table/Title Table/Content Table/Title Words Table/Content words Table
2 Add data identity map and implement lazy load patterns within News data Source layer
3 Add business logic implementation for support of News synchronization within multi distributed device B/C within News domain layer
Background
Along with the increasing importance of using English for daily work and communications, find an easy way for exercising both listening and reading is an urgent need for Non-Native English Speaker. Most people could easily reach to the English speech media through portable device or desk top browser. Through listening to the latest news, people could get their interesting news information. But most of the people couldn’t get it clearly because being interrupted by some words which we call them “broken” words. They could only spell the word’s sound like, what they want is the word spelling with the corresponding explanation, also the associated news story. At present lack of convenient software to provide this service.
Convenient usage or better service
l one action to get the latest interest news and key word explanation
l providing excellent experience to radio news listener
l a good trigger to think about news cloud service
|
No |
|
Yes |
|
No |
|
Activity diagram of News apps’ search interaction with the News system
|
|
Yes |
|
No |
|
Yes |
|
Receive input stream |
|
Extract words using predefined strategy to build word array
|
|
Spell check if the word is correct
|
|
Spell check to get candidates |
|
Word array is empty?
|
|
Execute entry transaction to query existence in entry DB |
|
Get one word from word array
|
|
Adding candidates or valid word to result set for building query |
|
If existence is available
|
|
Build Query & serialize query |
|
Transfer query stream to News source proxy to do request |
|
Receive request result from remote News source sever stub |
|
De-serialize request results to get news items |
|
Sort news items with evaluating weight strategy
|
|
Add matching candidate’s explanations through dictionary search |
|
Display result
|