http://www.drugfuture.com/cnpat/cn_patent.asp
http://www.cnipr.com.cn/
某些专利相似度很大,特别是保护范畴广义上是针对“接收/分析/处理/加工/输出/再接收”信息的流程。对于信息源数据的存在形式和显著特征来区别应用型专利。步骤相似不重要,点子来源于微小的改进,随之将这种创意注入实际的产品带来的用户体验是被放大的。感性和理性的交融,解决了什么问题是相对感性较多,随之引发的到底有什么区别和不同是进行理性剖析的结果。
专利检索:
寻找关键字进行专利检索来进行专利申请,可以考虑从如下几个方面:
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.
Claim: one use case <---> one independent claim
保护某系统的专利的独立要求纂写,一个用例对应一个独立权利
1匹配系统:买卖双方均向系统注册交易兴趣,单向动作触发通知.
2匹配系统:即时没有注册出售兴趣,车辆拥有者也会接到潜在买主的兴趣通知。
3 产生兴趣系统:未注册出售兴趣的车辆拥有者可以执行注册出售兴趣的操作
Notes: 一切能够触发/激发用户潜意识的用例
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.
设计更加智能,赋予理性和感性于一体的多角色系统。行为分析,动态交互转换模式
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 宠物视角Periodically expressing emotion. Some people raise pet such as dogs, we would experience more interactively feeling when communicate with the system.
2 朋友视角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 恋人视角 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 亲人视角 pop up some questions parents eager to know, show some influence to the child such as save money, eating habit, health care.
呈现二次搜索结果基于对第一次搜索结果的分析,确立一个第三方信息源.类似启发式搜索
装置,系统,方法;
制作工艺/方法/,生产方法;
实体(显示器,安全阀,密封件,驱动电路…)
发明是发明人运用自然规律而提出解决某一特定问题的技术方案。所以我国专利法实施细则中指出“专利法所称的发明是指对产品、方法或其改进所提出的新的技术方案”。发明人只有将这种技术方案向专利局提出申请,并且通过一系列严格的审查,特别是新颖性、创造性和实用性的审查;对符合规定的发明专利申请授予专利权。申请人还应按期办理登记手续和缴纳当年年费,这项发明专利申请才能正式成为一项具有专利多种属性的发明专利。
发明不同于发现。发现是揭示自然界已经存在的但尚未被人们所认识的自然规律和本质。而发明创造则是运用自然规律或本质去解决具体问题的技术方案。发现是不能获得专利的。只有发明才能获得专利。专利法中所指的发明仅仅是一项解决某一特定问题的技术方案,尽管这种技术方案的构思,在获得专利权时,有的还没有经过实践证明可以直接用于工业生产,制造成某种具体的物品,所以这是一种无形的知识财产。
专利法所称的发明分为产品发明(如机器、仪器、设备和用具等)和方法发明(制造方法)两大类。对于某些技术领域的发明,如疾病的诊断和治疗方法、原子核变换方法取得的物质等都不授予专利权。计算机软件的发明,
则要视其是否属于单纯的计算机软件或能够与硬件相结合的专用软件,并加以区别对待,后者是可以申请专利保护的。随着审查标准的变化,当前,单纯的计算机软件也可以单独申请专利了,不再必须与硬件结合了。
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
单词实事匹配---输入新闻词与预抽取的新闻关键词的匹配 (online)
内容关联---新闻关键词与对应新闻信息的关联
自动捕获关联信息的方法
某种意义上(用例场景)是借助人脑进行语音和文本信息进行转换和关联,广义上还是一种信息关联的实现方法
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
增加用户访问记录和相对应的事务日志记录
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: (实用性,新颖性,创新性)
新颖性,是指该发明或者实用新型不属于现有技术;
创造性,是指与现有技术相比,该发明具有突出的实质性特点和显著的进步,该实用新型具有实质性特点和进步。
实用性,是指该发明或者实用新型能够制造或者使用,并且能够产生积极效果
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
|