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CSEG3060 — Research Methodology in Computer Science · L-T-P-C 3-0-0-3
Unit VI · Lecture 3
Patent Information, Databases and Administration
Patent literature, IPC and CPC, the databases and how to search them — and how the system is run · 60 minutes · B.Tech. (Computer Science & Engineering) · Dr. Mohsin Furkh Dar
CO4 Patent literature IPC hierarchy CPC codes Four databases Search strategy Three tiers
Course outcome addressed — CO4

Locate, interpret and analyse patent information using classification systems and databases, and describe the institutional machinery that administers the patent system.

Lectures 1 and 2 covered what a patent is and how it is transacted. This lecture covers where the information lives, and who runs the system.

How to use these notes

Sections 2—8 are patent information — literature, classification, databases and search. Sections 9—12 are administration — institutions, prosecution, post-grant procedure and reform.

One figure frames the whole lecture: roughly 70 percent of the world’s technical information is disclosed only in patent documents and never published elsewhere. Most of what you need is not in IEEE Xplore or the ACM Digital Library.

Sections 4 and 7 are the practical ones. Do the task in Section 13.3 before the next lecture.

1. Learning Outcomes

  1. Identify the components of a patent document and read a front page using INID codes.
  2. Explain the IPC hierarchy and decode a classification such as G06F 21/62.
  3. Distinguish CPC from IPC and name the CPC codes covering your own research area.
  4. Navigate PATENTSCOPE, USPTO, Espacenet and IPAIRS, and choose the right one for a given task.
  5. Formulate a search combining classification codes, keywords and Boolean syntax.
  6. Describe the three tiers of patent administration, the prosecution workflow, and recent reforms.

2. Patent Literature

2.1 Definition and Scope

Patent literature is the entire corpus of published patent documents and related materials generated by national and regional patent offices. According to WIPO it is the world’s most comprehensive source of technical information, with approximately 70 percent of all technical information disclosed only in patent documents and never published elsewhere.

ComponentPurpose
Bibliographic dataIdentification — number, date, country, applicant, inventor, classification codes
AbstractConcise technical summary of the invention
Description (specification)Detailed technical disclosure enabling a person skilled in the art to reproduce the invention
ClaimsLegally enforceable statements defining the scope of protection
DrawingsDiagrams, flowcharts or schematics supporting the disclosure

2.2 Types and Kind Codes

Primary literature consists of patent applications and granted patents published by national and regional offices. Secondary literature comprises search reports, examination opinions, patent gazettes, classifications, abstracting services and analytical reviews.

2.3 Why It Matters in Computer Science

2.4 The Front Page and INID Codes

A typical front page, standardised under WIPO standard ST.36, contains numbered bibliographic fields:

FieldContent
(10)Document identification — patent number, kind code
(20)Application data — application number, filing date
(30)Priority data — earlier applications under the Paris Convention
(40)Publication date
(50)Technical information — IPC/CPC classification, title, abstract
(60)References — related applications
(70)Identification of parties — applicant, inventor, assignee, agent
INID codes

Internationally agreed Numbers for the Identification of bibliographic Data. The field numbers are constant across offices and languages — which is what makes a Japanese patent readable without Japanese. Within field 70, (71) is the applicant, (72) the inventor; (54) is the title. These are frequently asked.

3. The International Patent Classification

The IPC, established under the Strasbourg Agreement (1971) and administered by WIPO, is the international standard for classifying patents and utility models. It is revised annually to accommodate emerging technologies.

3.1 Five-Level Hierarchy

Section → Class → Subclass → Group → Subgroup(1)
Worked example — G06F 21/62

G — Section: Physics
G06 — Class: Computing; calculating; counting
G06F — Subclass: Electric digital data processing
G06F 21 — Group: Security arrangements for protecting computers, components, programs or data against unauthorised activity
G06F 21/62 — Subgroup: Protecting access to data via a platform, e.g. using keys or access control rules

The IPC version is appended to indicate the edition used — for example IPC 2025.01.

3.2 The Eight Sections

SectionTitleDomain
AHuman necessitiesAgriculture, food, health, personal items
BPerforming operations; transportingIndustrial processes, transport
CChemistry; metallurgyChemical engineering
DTextiles; paperTextile and paper industries
EFixed constructionsBuildings, mining
FMechanical engineeringEngines, pumps, lighting, heating
GPhysicsInstruments, computing, optics, nuclear engineering
HElectricityElectric power, electronics, communication

Most computer science patents fall within Section G and Section H — in practice, within G06 (computing) or H04 (electric communication technique). Learning those two branches is worth more than memorising all eight sections.

4. The Cooperative Patent Classification

The CPC was jointly developed by the EPO and the USPTO and entered into force on 1 January 2013. It is built on the IPC backbone but extends it with finer subdivisions.

4.1 Four Differences from the IPC

4.2 CPC Codes for Computer Science

CPC codeSubject matter
G06N 3/04Neural network architectures
G06N 3/08Learning methods for neural networks
H04L 9/00Cryptographic mechanisms
H04L 9/06Block cipher systems
G06F 16/00Information retrieval; database structures
G06T 7/00Image analysis
G10L 15/22Speech recognition procedures
G06Q 50/18Legal services — relevant to IPR itself

4.3 Why Both Systems Matter, and What Else Exists

WIPO and many national offices — including IP India — still index primarily by IPC. The EPO and USPTO use CPC extensively, and the additional granularity permits far more precise searches in cutting-edge technologies, which is exactly where a CS researcher works.

Other systems: USPC, used by the USPTO until 2015 when CPC fully replaced it — you will still meet it on older documents; FI and F-term, Japanese systems offering very fine subdivisions; and DE, the German national scheme used by the DPMA.

Cross-reference, always

For comprehensive searches, researchers cross-reference multiple systems. A single-classification search is the equivalent of searching one database and declaring the field empty.

5. Online Patent Databases

5.1 WIPO PATENTSCOPE

Covers PCT international applications published 18 months after the priority date; national and regional collections from over 100 offices; and non-patent literature cited in search reports.

Key features: cross-lingual information retrieval (CLIR), searching several languages simultaneously through semantic translation; Boolean, phrase and proximity syntax; citation extraction and chemical structure search; machine translation of full text via the TAPTA system; and RSS feeds and alerts for newly published applications.

Strengths: unmatched coverage of PCT applications and developing-country filings; powerful translation. Limitations: variable OCR quality on older documents; some national collections lag in publication.

5.2 USPTO

ToolPurpose
PatFTFull-text search of US granted patents from 1976 onward
AppFTPublished US patent applications
Patent CenterThe unified portal replacing legacy PAIR and EFOAS systems

Search modes: quick two-field query; advanced Boolean search across title, abstract, claims, inventor, assignee and classification; and classification browse or query by CPC code.

Strengths: authoritative for US filings; rich bibliographic and legal-status data; Patent Center provides full prosecution histories — office actions and responses. Limitations: US jurisdiction only; pre-1976 patents are image-only.

The underused resource

The prosecution history in Patent Center shows exactly which arguments persuaded an examiner to allow a claim in your technical field. For anyone drafting their first application, it is worth more than any textbook.

5.3 EPO Espacenet

Free access to over 140 million patent documents from more than 100 countries.

Strengths: best-in-class coverage of European and global filings; rich family and legal-event data; excellent search interface. Limitations: some advanced bulk-data features require a free EPO account.

5.4 IP India — IPAIRS

The CGPDTM provides the Indian Patent Information Retrieval System and a public-facing search portal. Search by application number, patent number, title, abstract, claims, full text, inventor, applicant and CPC code.

It covers applications filed in India under the Patents Act, 1970, including international applications entering the Indian national phase via PCT. Status tracking spans Filed, Published, Under Examination, Granted, Withdrawn, Abandoned and Revoked.

Strengths: authoritative source for Indian filings, with reliable and current legal status. Limitations: the interface is less polished than WIPO or Espacenet; OCR quality on older scans is variable; English-only, despite India accepting applications in Hindi and other scheduled languages.

5.5 Comparative Summary

FeaturePATENTSCOPEUSPTOEspacenetIPAIRS
Geographic scopeGlobal — PCT + nationalUSA onlyGlobalIndia only
Document count100+ million12+ million140+ million~700,000 published
ClassificationIPC, CPCCPC (formerly USPC)CPC, IPCIPC, CPC
Full-text searchYesYes, 1976+YesYes
Machine translationYes — TAPTALimitedYes — Patent TranslateNo
API accessLimitedYes — Patent CenterYes — OPSNo
Legal status dataPartialComprehensiveExcellent — INPADOCAuthoritative for India
Best forPCT filings, global coverageUS prosecution historyComprehensive prior-art searchesIndian filings
Where to start

Espacenet for prior art · Patent Center for prosecution arguments · PATENTSCOPE for PCT and non-English filings · IPAIRS for anything that must be enforceable in India.

6. Practical Search Strategy

6.1 The Anatomy of a Search

  1. Topic identification — define the technical subject with precision.
  2. Query formulation — combine keywords, classification codes and applicant filters.
  3. Result refinement — apply date ranges, jurisdictions and citation analysis.

6.2 Keyword versus Classification Searching

StrategyStrengthsWeaknesses
Keyword searchDiscovers synonyms and emerging terminology; intuitiveMisses translations and unusual phrasings; subject to noise
Classification searchReliable across languages and synonyms; preciseRequires familiarity with IPC/CPC; may miss innovative cross-domain applications

The most effective searches combine both — classification codes to narrow the field, keywords to refine within it. Keyword-only searching is why students conclude an idea is novel when it is not; classification-only searching is why they miss the cross-domain application that anticipates them.

6.3 Boolean Operators and Syntax

Patent databases support extended Boolean logic: AND, OR, NOT; quotation marks for exact phrases; parentheses for nested grouping; and wildcards, typically * for zero or more characters and ? for a single character.

Espacenet field syntax
(cla = ("machine learning" OR "neural network")) AND ap = ("Google")
Searches claims mentioning machine learning or neural networks, in patents assigned to Google.

6.4 Worked Example — AI-Based Intrusion Detection

  1. Identify relevant CPC codes: G06N 3/04 and G06N 3/08 (neural networks); H04L 63/00 and H04L 63/14 (network security); G06F 21/55 (malware detection).
  2. Construct the query on Espacenet:
    CPC = (G06N3/04 OR G06N3/08) AND (H04L63/00 OR G06F21/55)
    Date range: last five years  ·  Jurisdiction: US, EP, WO
  3. Refine with keywords such as “intrusion detection” or “anomaly detection” in title and abstract.
  4. Analyse results — export bibliographic data, generate citation graphs, identify top assignees (Cisco, IBM, Palo Alto Networks), and observe temporal trends.

6.5 Citation and Family Analysis

Landscape example — transformer architectures in NLP

Since Vaswani et al., Attention Is All You Need (2017), transformers have reshaped natural language processing. A landscape study reveals the commercial dimension of that academic breakthrough.

Databases: Espacenet and PATENTSCOPE.
Query: CPC = (G06N3/045 OR G06N3/0464 OR G06N3/0455) AND title/abstract = ("attention mechanism" OR "transformer" OR "self-attention")

What family analysis tells you

It answers a question no single patent can: where does this competitor think the money is? A family filed in the US, EP, CN, JP and KR signals a global product. One filed only in India signals something else entirely.

7. The Institutional Architecture

Modern patent administration operates at three interconnected tiers.

7.1 Tier 1 — National Patent Offices

Each sovereign state maintains a national or regional office examining applications under domestic law:

7.2 Tier 2 — Regional Patent Systems

Regional offices consolidate filing procedures for groups of countries: the Eurasian Patent Organization (EAPO), the African Regional Intellectual Property Organization (ARIPO), the African Intellectual Property Organization (OAPI), and the EPO acting as a regional grant body.

7.3 Tier 3 — International Coordination

WIPO, headquartered in Geneva, administers the PCT, the Madrid System for marks and the Hague System for designs. WIPO functions as a treaty secretariat and normative standard-setter rather than a granting authority.

The distinction that matters

Tiers 1 and 2 grant patents. Tier 3 does not. WIPO administers treaties and sets standards but has never granted a patent — the same point made about the PCT in Unit V. Note also that the EPO appears in two tiers: it examines supranationally under the EPC and acts as a regional grant body, which is why a European patent is still validated nationally.

8. The Patent Prosecution Process

Prosecution follows a standardised workflow, though details vary across jurisdictions:

  1. Filing — submission of the application (specification, claims, abstract, drawings) to the office of first filing.
  2. Formalities examination — verification of administrative requirements.
  3. Search — identification of prior art, producing a search report.
  4. Substantive examination — assessment against the patentability criteria.
  5. Office actions and responses — exchanges between examiner and applicant, often involving claim amendments.
  6. Grant or refusal — the culminating decision; refused applications may be appealed.
Patentability as a logical conjunction
Patentability = N ∧ IS ∧ IA ∧ SD(2)

where N is novelty, IS inventive step (or non-obviousness), IA industrial applicability (or utility), and SD sufficient disclosure. Each condition must be independently satisfied — which is what a conjunction means, and why an examiner attacks whichever element is weakest.

8.1 Post-Grant Administration

9. Recent Reforms in Patent Administration

Patent administration has undergone continuous reform since the early 2000s, on three themes.

9.1 Acceleration and Quality

9.2 Software-Related Subject Matter

Software remains the most contested category. Computer programs as such were historically excluded in India (Section 3(k)) and Europe (Article 52 EPC) — but technical applications of software are routinely patentable.

9.3 Emerging Technologies

9.4 Digital Transformation

The COVID-19 crisis accelerated modernisation: WIPO expanded ePCT filing and electronic priority document exchange through the Digital Access Service; the USPTO implemented fully electronic prosecution and launched Patent Center, replacing the legacy PAIR system; the EPO finalised its framework for opposition oral proceedings by videoconference (2021); and the Indian Patent Office extended timelines and accepted electronic filing under the Patents (Amendment) Rules, 2020, continuing through the 2024 Rules.

The line to watch

Every major jurisdiction has now held that an inventor must be a natural person. That holding is under active academic and policy pressure as AI systems contribute an increasing share of the inventive step.

10. Summary

11. Exam Preparation

Preparation points
  1. Memorise the IPC hierarchy — Section, Class, Subclass, Group, Subgroup — and be able to construct a code and identify its components.
  2. Distinguish IPC from CPC clearly: IPC is administered by WIPO under the Strasbourg Agreement; CPC is a joint EPO–USPTO system with greater granularity and more frequent updates.
  3. Know the major databases cold — compare PATENTSCOPE, USPTO, Espacenet and IP India on geographic scope, classification system and distinctive features.
  4. Practise constructing search queries combining CPC codes and keywords for given scenarios — blockchain consensus, IoT security, federated learning.
  5. Understand INID codes: (71) applicant, (72) inventor, (54) title are frequently asked.
  6. Connect to software IP — how these databases apply to software patents, including the Indian exclusion under Section 3(k).
  7. Distinguish the tiers: national offices, regional bodies, and international organisations. Examiners reward precise institutional attribution.
  8. Cite Articles, Sections and dates — TRIPS Article 27, PCT Article 8, Section 3(k), the AIA 2011.

11.1 Short-Answer Questions

  1. Define patent literature and list its principal components. 3 marks
  2. State the hierarchy of the International Patent Classification and briefly explain each level. 3 marks
  3. Differentiate between IPC and CPC along two dimensions. 3 marks
  4. Decode the classification G06F 21/62 level by level. 3 marks
  5. What are INID codes, and why are they useful? 2 marks
  6. Distinguish an A1 document from a B1 document. 2 marks
  7. List any four national patent offices and state their respective jurisdictions. 2 marks
  8. What is the role of WIPO in administering the PCT? 3 marks
  9. State the patentability conjunction and name each element. 3 marks
  10. Name three post-grant administrative activities. 2 marks

11.2 Long-Answer Questions

  1. Compare WIPO PATENTSCOPE, the USPTO databases, EPO Espacenet and IP India across geographic scope, classification, legal status data and best use. Which would you use for each stage of a prior-art search, and why? 12 marks
  2. Explain keyword and classification-based searching. Why does a defensible search combine both? Illustrate with a query for a named computing technology. 10 marks
  3. Describe the three tiers of patent administration, distinguishing granting authorities from coordinating bodies. 10 marks
  4. Trace the six steps of patent prosecution and explain the significance of framing patentability as a logical conjunction. 10 marks
  5. Discuss recent reforms in patent administration under the three themes of acceleration, software subject matter, and emerging technology, with a named example of each. 12 marks
  6. Explain backward citations, forward citations and patent families, and describe what each reveals in a landscape analysis. 10 marks

11.3 Applied Exercise

Do this before Lecture 4

Find the two or three CPC codes covering your group project. Run one Espacenet search combining them with a keyword, restricted to the last five years and to the US, EP and WO jurisdictions.

Record: the top three assignees; the number of results; and whether anyone has already patented what you are building. Bring the result to the next session.

Structured landscape question

When asked to perform a patent landscape analysis, structure your answer around the four-step methodology: define scope → formulate queries → execute across databases → synthesise trends.

12. Suggested Reading

  1. WIPO. Guide to the International Patent Classification, current edition.
  2. EPO and USPTO. Cooperative Patent Classification scheme and definitions, cpc.espacenet.com
  3. WIPO Standard ST.36 and the INID code list (WIPO Standard ST.9).
  4. EPO. Espacenet user guide and Open Patent Services (OPS) documentation.
  5. WIPO. PATENTSCOPE search help and CLIR documentation.
  6. CGPDTM. Manual of Patent Office Practice and Procedure, India.
  7. Leahy-Smith America Invents Act, 2011 — on Track One and first-to-file.
  8. USPTO. Revised Patent Subject Matter Eligibility Guidance, 2019 and subsequent updates.
  9. Indian Patent Office. Guidelines for Examination of Computer Related Inventions (CRI), 2017 and 2024 drafts.
  10. Thaler v. Comptroller-General and Thaler v. Vidal — the DABUS line on AI inventorship.
CSEG3060 Research Methodology in Computer Science · Unit VI · Lecture 3 student notes · Dr. Mohsin Furkh Dar · School of Computer Science, UPES. Companion slide deck: Lecture 3 slides.